最新刊期
卷 47 ， 期 12 ， 2019
- 摘要：The restricted isometry property of observation matrix in near-field measurements is unknown using random under-sampling strategy in compressed sensing based methods, which has a negative influence on the probability of success rate of diagnosis when adopting 1 norm minimization. In order to overcome this limitation, a hybrid diagnosis algorithm using random perturbation-non convex optimization for identification of impaired sensors in conformal arrays with near-field measurements is investigated. Differential array composed of healthy array and damaged array is constructed in the case of the sparsity of the number of failed elements. Then the near-field data are acquired. Finally, accurate diagnosis with high probability is achieved by recovering the sparse excitation of differential array utilizing proposed algorithm. Numerical simulation results demonstrate that the proposed method avoids the adverse impact on the performance of diagnosis arising from the absence of apriori information on RIP of observation matrix, overcomes the problem of local minima associated to the non-convex norm,and therefore improves the probability of success rate of diagnosis effectively.关键词：failed elements;compressed sensing;conformal array;random perturbation;near-field diagnosis;non-convex optimization algorithm148|605|1更新时间：2025-07-16
- 摘要：In order to solve the divergence of the magnetic target filter tracking method when the initial prior information is missing, this paper proposes a solution framework of multiple initial value models. Taking the square-root central difference Kalman filter(SRCDKF) as an example, the SRCDKF adaptive magnetic target tracking algorithm is obtained by combining multiple initial value models. Firstly, based on the magnetic field equivalence of long-distance magnetic dipoles, a multi-initial filter tracking model is established. Then based on the maximum likelihood selection theory, the method of how to choose the best result from multiple models is derived.Finally,using SRCDKF filter as the filtering unit,an adaptive magnetic target tracking algorithm based on SRCDKF is obtained. The simulation experiments show that: (1) the validity of the multi-initial model establishment and selection method; (2) the adaptive magnetic target tracking algorithm based on SRCDKF can effectively complete the tracking of magnetic targets in the absence of initial position information; (3) the tracking results of the adaptive tracking algorithm with different filters as the filtering unit show that the solution framework of the multi-initial value model can provide a method to solve the tracking problem under the initial value unknown.关键词：magnetic target tracking;magnetic dipole;multiple initial value model;maximum likelihood selection;adaptive tracking algorithm55|219|3更新时间：2025-07-16
- 摘要：Most of the current direction of arrival estimation (DOA) methods are proposed based on the unbiased knowledge of the array manifold, which may not be guaranteed in some practical applications, since the clock drifting and sensor position uncertainties always exist. To match the actual array reception condition, a DOA estimation method that uses partly calibrated nested array is presented. The proposed method completes the array gain-phase errors estimation by exploiting the continuous multiplication operator and simple algebraic operation, and then constructs a sparse vector model via vectorization operation on array covariance matrix in sparse representation framework, which owes consecutive degrees of freedom. Finally, the influence of the finite number of samples is considered, and the DOAs are successively estimated by applying sparse total squares (STLS) algorithm based on the estimated result of gain-phase errors. The proposed method not only performs independent of gain-phase errors, but also can provide improved resolution and estimation accuracy, by depending on the high DOFs provided by nested array and anti-disturbance characteristics of STLS algorithm. Simulation results validate the effectiveness of the proposed method.关键词：direction of arrival (DOA) estimation;gain-phase errors;partly calibrated nested array;continuous multiplication operator;STLS algorithm37|169|0更新时间：2025-07-16
- 摘要：To solve the uplink power control problem in underlay cognitive radio network (CRN), this paper proposes a distributed uplink power control algorithm based on multi-antenna beamforming, which is jointly optimized by cognitive base station and secondary users. The specific steps of joint optimization are as follows. Cognitive base station accomplishes multi-antenna beamforming optimization by solving the maximum generalized eigenvalue problem. Secondary users firstly transform the nonlinear power optimization problem into the geometric programming convex optimization problem, then implement the distributed transmitting power optimization through gradient method. The maximum network utility is realized via the alternating optimization between cognitive base station and secondary users. Numerical simulation results show that compared with the existing uplink power control algorithm which only optimizes the powers of secondary users, the proposed algorithm can not only obtain larger network utility value but also be robust to the effect of the interferences from the primary users.关键词：cognitive radio network;uplink power control;multi-antenna beamforming;joint optimization;network utility53|155|1更新时间：2025-07-16
- 摘要：The target tracking problem of bistatic MIMO radar under low SNR is studied, and a target tracking algorithm based on the improved AAJD (Adaptive Asymmetric Joint Diagonalization) is proposed. Firstly, the AAJD algorithm is improved to obtain the variable as the eigenvalue and the criterion of selecting the feature vector. The eigenvalue variables are used to find the eigenvectors corresponding to the large eigenvalue variables. And the problem of signal subspace expansion in AAJD algorithm is solved at low SNR. Secondly, the influence of the accumulation of the eigenvalue variables error is eliminated in the unsteady tracking state. The obtained signal subspace is more accurate. Since the estimated eigenvectors order is random at each time, the ESPRIT algorithm is improved to achieve the automatic pairing of transceiver angle of the same moment and the automatic association of the angle of the adjacent moment. The simulation results show that the improved AAJD algorithm can realize the angle tracking with low signal to noise ratio, and the convergence speed and stability performance are significantly better than AAJD algorithm.关键词：bistatic MIMO radar;angle tracking;eigenvalue variable;extended signal subspace;angle pairing and association57|186|3更新时间：2025-07-16
- 摘要：Due to the energy consumption and imbalance resources allocation in virtual optical network embedding over elastic optical networks, a joint power consumption and load balancing for virtual optical network embedding (PC-LB-VONE) is proposed. During virtual node embedding, we select the physical node which has shorter length of its adjacent link, and smaller difference between its computing resources and bandwidth resources of its adjacent link. During virtual link embedding, considering the resource matching degree of candidate optical paths, a single-path embedding strategy based on maximal clique is proposed. When the single-path embedding strategy fails, a multi-path embedding strategy based on the average link load will be taken. Simulation results show that the proposed PC-LB-VONE algorithm can effectively decrease the energy consumption and balance the traffic load.关键词：elastic optical networks;virtual network;maximal clique;resource matching degree;power consumption;load balance76|213|2更新时间：2025-07-16
- 摘要：When the basic distribution constituting one gray level histogram is presented as a non-Gaussian distribution, such as gamma, extreme value, Rayleigh, uniform or beta distribution, how to automatically select the best possible segmentation threshold is still quite challenging. To deal with the issue of threshold selection in the above-mentioned different gray level distributions, we propose an automatic method of threshold selection that is guided by maximizing cross-region Shannon entropy under edge guidance and contour constraints. This method utilizes constant guiding edges and dynamically changing contours to construct a series of continuously changing one-dimensional gray level histograms,and adopts Shannon entropy as the entropy calculation model. Therefore, it can calculate the cross-region Shannon entropy across several local regions in the image, and it takes the threshold corresponding to the maximum cross-region Shannon entropy as the final segmentation threshold. The proposed method is compared with Masi entropy thresholding, Tsallis entropy thresholding, Shannon entropy thresholding, and iterative triclass thresholding on 40 synthetic images and 50 real-world images. The results show that the proposed method is not superior to the 4 compared methods in computational efficiency, but it has significant enhancement in segmentation adaptability and a significant decrease in the mis-segmentation rate.关键词：image thresholding;maximum entropy principle;cross-region Shannon entropy;Shannon entropy difference;global entropy method;local entropy method93|271|0更新时间：2025-07-16
- 摘要：In this paper, the background classification method of marine target detection based on convolutional neural network (CNN) is mainly studied. Taking LeNet as an example, based on the IPIX measured data set, the model training through controlling variables is carried out. The feasibility of using CNN in the classification of sea clutter and noise in one dimensional radar echo signal is studied, and the influence of factors such as data preprocessing, single sample sequence length and network structure parameters on classification accuracy is analyzed synchronously, and verified for the typical detection scene classification. The application results of measured data show that the proposed method has high accuracy in clutter classification and noise classification under the conditions of forward/reverse direction and high/low sea conditions.关键词：convolution neural network;sea clutter;detection background;classification68|312|6更新时间：2025-07-16
- 摘要：The paper discusses the spatial correlation of channels in massive MIMO-OFDM system, and proposes a hidden clustering hypothesis to simulations different propagation environments with probability parameters. Then, the Dirichlet process (DP) in machine learning is introduced into sparse Bayesian learning (SBL) model and a DP-SBL structure is established. Consequently, the hidden clustering features of massive MIMO system are explored simultaneously in the process of channel estimation. Furthermore,the DP-SBL structure is applied to massive MIMO-OFDM systems, and a receiver algorithm based on hidden clustering and Dirichlet process is deduced by using message passing algorithm on factor graphs. Finally, we compare the proposed algorithm with the existing algorithms. Simulation results show that the proposed algorithm can exploit and utilize the spatial resources of massive MIMO-OFDM system. It can achieve remarkable performance gain with low computation complexity and strong robustness.关键词：massive MIMO;iterative receiver design;hidden cluster hypothesis;Dirichlet process;message passing algorithm41|170|2更新时间：2025-07-16
- 摘要：ARX (Addition, Rotation, Xor) algorithms are based on three operations:modular addition, exclusive-OR and bitwise rotation, which execute very fast in both software and hardware. Impossible differential cryptanalysis and zero-correlation linear cryptanalysis are among the most powerful attacks for ARX ciphers. The key problem for the attacks is searching more and longer impossible differentials and zero-correlation linear approximations. Although there are many automatic search algorithms, these approaches do not fully utilize the non-linear component properties, which cannot reach their potential. A SAT (Satisfiability) -based model to automatic search for impossible differentials and zero-correlation linear approximations in ARX is proposed.By exploiting behaviors of every component, especially the differential and linear propagation properties through general modular addition and key modular addition operations, we generate computable and easily implementable constraints and establish the SAT-based model. As applications, we apply our model to Chaskey, SPECK and HIGHT. For Chaskey, we are able to find 13 4-round impossible differentials and 1 4-round zero-correlation linear approximation for the first time. For SPECK, we first find 10 6-round zero-correlation linear approximations of SPECK32 and 15 6-round zero-correlation linear approximations of SPECK48. Besides, we find 4 17-round impossible differentials and zero-correlation linear approximations of HIGHT in a few minutes. Compared with the existing results, both the number and the search time of distinguishers are significantly improved. In addition, by repackaging the output interface of the STP solver, we establish the automated SAT\\SMT model, which can give the upper bound of rounds of impossible differentials and zero-correlation linear approximations under special input and output differential and mask sets for ARX algorithm.关键词：impossible differential;zero-correlation linear approximation;ARX;Chaskey;SPECK;HIGHT;SAT-solver46|127|0更新时间：2025-07-16
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A New CFAR Detection Method of Polarimetric SAR Imagery Based on Matched Filter Under Fisher Texture
摘要：There is a problem of the poor applicability of clutter models under high resolution with the existing constant false alarm rate (CFAR) detection methods in polarimetric synthetic aperture radar (PolSAR) imageries. To solve the problem, a CFAR detection method is proposed under Fisher texture, and the CFAR loss (CL) is defined to quantitatively evaluate the CFAR maintenance performance of detection methods. Firstly, the probability density function (PDF) of the multi-look polarization matched filter (MPMF) metric is derived based on product model combining the hypothesis of the Fisher texture. Secondly, the PDF of the MPMF metric is integrated, and the analytical expression of the false alarm rate is obtained. The process of the proposed CFAR detection method is also designed. Compared with other methods based on K, G0 and Wishart distribution, as well as the two-parameter CFAR (2P-CFAR) detector via simulation data and airborne SAR (AIRSAR) data, the proposed method has good constant false alarm maintenance performance and detection performance, strong robustness and no significant increase in operation time.Compared with other detection methods, the figure of merit (FoM) is 12.80% higher on average.关键词：polarimetric synthetic aperture radar (PolSAR);constant false alarm rate (CFAR);Fisher distribution;constant false alarm rate loss (CFAR Loss,CL);multi-look polarization matched filter (MPMF);false alarm rate;figure of merit (FoM)66|170|1更新时间：2025-07-16 - 摘要：In the overload scenario of the LTE-A network, the bursty access of the machine type communication (MTC) device may cause serious congestion or even deadlock in the network, resulting in low network access efficiency. Under the premise that available preambles are limited, controlling the number of devices that initiate the access according to the real-time load can effectively reduce the collision probability of the preamble, but the control method is not clear. To do this, this paper proposes a dynamic access class barring (ACB) mechanism to optimize the random access performance of the massive MTC. An estimation model based on back-off prediction is established.The model estimates the number of real-time active devices based on the number of retransmitted devices and the state transition process. Moreover, combined with the adjustment of the ACB parameter, the number of successfully accessed devices in real time can be optimized, and the access success rate of the device is effectively improved. The performance of the proposed dynamic ACB scheme is compared with that of the existing dynamic ACB schemes under different traffic degrees. Simulation results prove that the access success probability of the proposed dynamic ACB scheme is 100%. Simultaneously, the proposed novel scheme can get lower average access delay comparing with the existing dynamic ACB schemes.关键词：massive machine type communication (mMTC);LTE-A;access class barring (ACB);load estimation;access success probability;average access delay130|204|1更新时间：2025-07-16
- 摘要：Considering the phase ambiguity problem of frequency offset estimation existed in the short-burst communication, this paper proposes a wide-range low-complexity time-domain correlation frequency offset estimation algorithm-phase-unwrapping based partial cross-correlation algorithm. This algorithm uses the idea of the autocorrelation algorithm and knowledge of the algebra to eliminate its complex multiplication operation, and then utilizes a Monte-Carlo simulation based phase-unwrapping algorithm to solve the problem of phase ambiguity, thus suitable for the short burst communication environment with large frequency offsets. Simulation results show that when maintaining large estimation range, the proposed algorithm also exhibits both higher accuracy and lower complexity than the classical M&M, AC, and Giugno algorithms, thus suitable for low-latency high-reliability short packet transmission.关键词：time-domain correlation;phase ambiguity;frequency offset estimation;Monte-Carlo simulation;UAV communication;short-burst communication51|133|4更新时间：2025-07-16
- 摘要：Based on the theoretical study of the generalized Boolean functions. The correlation functions of a class of generalized Boolean functions are analyzed by using generalized Walsh-Hadamard transform,correlation functions and sum-of-squares and indicator, and the relationship between correlation functions and auto-correlation functions of such generalized Boolean functions are obtained. Based on the results obtained, the relationship between a class of generalized Bent functions and Bent functions is proved by using auto-correlation functions. Finally, the relationship between sum-of-squares and indicator of a class of generalized Boolean functions is given.关键词：generalized Boolean functions;correlation functions;Bent functions;sum-of-squares and indicator;generalized Walsh-Hadamard transform40|108|0更新时间：2025-07-16
- 摘要：A kind of novel sub-carrier dispatching approach based on game strategy for EEO (named EESA-EG) has been put forward. In this approach, we adopted the channel state matrix to show the quality of sub-carriers under the banner of relative constraint factors with the height of secondary user, the total data transmission rate limit, total power consumption constraint and power consumption constraint on a single sub-carrier. At the same time, the nonlinear fractional programming mechanism is designed to pursue the maximum of energy efficiency, which is used as the objective function. The utility function for each secondary user is set up when the game operator is developed. If the utility function reaches the optimization, the evolutionary game process will become Nash equilibrium, which is regarded as the relatively optimal energy efficient resource dispatching status. Based on our experimental tests, our proposed approach gives the relatively reasonable sub-carrier dispatching effect, which can dispatch more sub-carriers with relatively better channel state.关键词：cognitive network;sub-carrier;resource dispatching;game;optimization31|113|2更新时间：2025-07-16
- 摘要：Endocrine system is a complex system composed of various endocrine cells. It contains a hormone-based reaction diffusion information processing mechanism, which provides very important reference for the research of bionic intelligence theory and technology. Based on the analysis of the reaction diffusion mechanism of hormones in biological endocrine system, an artificial reaction diffusion network model and a self-learning algorithm based on the model are proposed. The model simulates the diffusion of hormones and the reaction with receptors to control artificial life. In order to verify the validity of the model and its algorithm, a simulation experiment of robot automatic navigation control is done. The results also show that the model and algorithm have good adaptive resolution ability.关键词：endocrine system;hormone;reaction diffusion;robot;behavior control42|114|0更新时间：2025-07-16
- 摘要：In order to improve the resolution of photoelectric shaft angle encoder, a method of subdividing high frequency-doubling Moire fringe signal is proposed and a frequency-doubling system of photoelectric potential shift signal based on FPGA is established. According to the mathematic model of ideal Moire fringe photoelectric signal, the original Moire fringe signal is deduced into n-fold high-order signal by using the function property of multi-angle sine-cosine signal. The different functions of the encoder are described, and the frequency doubling technique of high resolution by using the amplitude subdivision lookup table is described respectively. Finally, an Omron E6B2-CWZ6C incremental photoelectric encoder with a diameter of 40 mm and a resolution of 2500 P/R is taken as the experimental object. Driven by a synchronous motor with a speed range of 200~3000 rpm, the output waveform frequency range of the encoder is about 8.3 kHz~125 kHz. Under the analog input signal with a frequency of 10 kHz, the subdivision scheme is adopted. In the quadruplicated frequency doubling experiment, the system can increase the frequency to 4 times of the original frequency. At the same time, based on the principle of 4 times frequency, the 128 times frequency experiment is designed and verified by experiments. The system can also be quickly increased to 128 times the input frequency. Compared with the traditional subdivision circuit, the design method and system have the characteristics of short development cycle, high integration, modularization and simple modification.关键词：displacement measurement;frequency doubling/subdivision;photoelectric signal;resolution35|143|0更新时间：2025-07-16
- 摘要：The human eyes observe and perceive different external scenes by the continuous movement of fixations. It is of great difficulty to predict and model "where to look" of human eyes in computer vision research. To address this problem, a computational model including two parallel processes: global transition and local movement, is proposed based on visual dynamic saliency. The former predicts the long distance migrations of saccades in the scene by combining the eye movement bias,visual centrality and inhibition of return; the latter is used to determine the next destination by searching for the local largest average salient point. And these two processes can be switched through a certain judgment rule. Experimental results show that the proposed model can more effectively simulate the human eye gaze point distribution, resulting in better performance.关键词：visual saliency;fixation point;gaze;transition;shift38|146|0更新时间：2025-07-16
- 摘要：Spatial coupled LDPC (SC-LDPC) code provides an entirely new way of approaching capacity for communication systems, however, a rate loss caused by additional check nodes during the coupling process. In order to eliminate rate loss, a coupling method was proposed. The edges expansion of the variable node in the first position were unchanged, and the edges of the middle position were connected backwards from the previous position check node, then the edges of the last position were symmetrically distributed with the edges in the first position. Therefore, a rate-loss-free SC-LDPC code was designed without added addition check nodes. Extrinsic information transfer (EXIT) theoretical analysis and bit error rate performance simulation were adopted in the AWGN channel. It is showed the SC-LDPC variant structure is superior to the traditional structure with a shorter coupling chain length, not only can the rate loss be avoided, but also better threshold and decoding performance, it has more advantages in future communication systems.关键词：spatial coupled LDPC code;eliminate rate loss;AWGN channel;extrinsic information transfer;BP decoding42|98|2更新时间：2025-07-16
- 摘要：In order to improve the efficiency of retrieving models from enterprise model library, a similarity algorithm based on weighted flow relationship is proposed, regarded as WF. Firstly, this paper designs a weighted flow relationship set generation algorithm. The generation algorithm traverses all nodes and flow relationships except the output place by breadth-first search method. The weight is assigned to each flow relationship to generate a weighted flow relationship set. Secondly, the WF algorithm calculates the weighted transition set based on the weighted flow relationship set, and calculates the similarity according to the WF similarity definition. Finally, through experimental and analyzing the time complexity of the algorithm results show that the proposed algorithm is correct and unique to determine the result and the algorithm has good performance.关键词：Petri nets;weighted flow relationship;weighted transition;process similarity64|135|1更新时间：2025-07-16
- 摘要：Capacitated vehicle routing problem (CVRP) is an NP-hard combinatorial optimization problem. Many CVRP instances cannot be solved by the exact algorithms in a reasonable time. This paper presents an adaptive genetic grey wolf optimizer algorithm (AGGWOA), which implements grey wolf space integer coding and route-first cluster-second solution generation strategy, to solve the capacitated vehicle routing problem. The AGGWOA proposes the adaptive update strategy on moving average and grey wolf genetic operation that improve the global convergence of the algorithm. To enhance the global search ability and the local search ability of the algorithm, the AGGWOA proposes the inferior-node heuristic neighborhood search strategy, which implements the 3-opt local search operation. The experimental results indicate that the algorithm proposed has superior computational accuracy, effective optimization ability and high robustness. The effectiveness of the algorithm proposed is proved by comparing AGGWOA with 6 other algorithms including adaptive sweep plus velocity tentative PSO(Adaptive Sweep + VTPSO), K-means clustering GWO(K-GWO), hybrid large neighbourhood search algorithm with ant colony optimization(LNS-ACO), elitism-based multiple colonies artificial bee colony(EBMC-ABC), set-covering-based extended savings algorithm(SC-ESA), hybrid variable neighborhood symbiotic organisms search(HVNSOS).关键词：combination optimization;vehicle routing;discrete grey wolf optimizer;adaptive update;genetic operation;neighborhood search186|255|14更新时间：2025-07-16
- 摘要：Diabetic retinopathy is the leading cause of blindness in adults, and the retinal vessels segmentation is the basis for the diagnosis of diabetic retinopathy. To improve the accuracy of retinal vessels segmentation, an automatic retinal vessel segmentation method based on multi-model fusion and region iterative growth is proposed. Firstly, the mathematical morphology, matched filter, scale-space analysis, multi-scale line-detection and neural network models were established to segment retinal vessels initially, and the mean value of the five segmentation results was taken as the preliminary output to reduce the noise. Secondly, after exudates and optic disc were separated with a mask developed, the white areas in the mask were replaced by the segmentation result of the mathematical morphology model, and then the combined result was generated with replaced mask and preliminary output fused. Finally, considering the prior knowledge of retinal vessels, final results were obtained after threshold and region iterative growth. The experimental results demonstrate that the accuracy, sensitivity and specificity for segmenting the retinal vessels in the DRIVE and STARE fundus image datasets are 0.9457, 0.7843, 0.9815 and 0.9472, 0.7826 and 0.9803, respectively, which is superior to most classical algorithms.关键词：retinal vessel;automatic segmentation;multi-model fusion;region iterative growth39|237|5更新时间：2025-07-16
- 摘要：To improve denoising effect and execution efficiency of the existing switching random-valued impulse noise (RVIN) removal algorithms, we propose a convolutional neural network (CNN)-based fast non-switching RVIN denoising algorithm (FNRDA), which consists of two serial CNN-based modules, i.e., noise detector and denoiser. Specifically, we first use the noise detector to detect some randomly selected pixels of a given noisy image. Then we divide the number of the detected noisy pixels by the total number of detected pixels to convert it into noise ratio, which can be treated as a measure of the distortion level for the given noisy image. Finally, according to the estimated noise ratio, we exploit the corresponding pre-trained non-switching CNN-based denoising model to remove RVIN efficiently with high quality. Experimental results show that, the proposed non-switching RVIN removal algorithm outperforms the classical switching ones in terms of denoising effect and execution efficiency across various noise ratios. This advantage makes it more attractive and practical in the real-time applications such as image restoration, signal detection, wireless communication, etc.关键词：denoising;random-valued impulse noise;non-switching;convolutional neural network (CNN);noise ratio;computational efficiency134|686|1更新时间：2025-07-16
- 摘要：Path coverage is one of the most important testing methods in the field of software testing. It is a challenging problem to find a set of test data to satisfy the path coverage in the search space. Therefore, automatically generating test data is a key issue in software testing. In this paper, a generation method of test data based on the negative selection genetic algorithm is proposed. The negative selection strategy is integrated into the genetic algorithm, and the population data of the genetic algorithm is dynamically optimized, and the test data covering the target path is automatically generated. The experimental results show that compared with the random method and the genetic algorithm, the proposed method can improve the path coverage and reduce the generation of redundant test data.关键词：software test;genetic algorithm;negative selection;path coverage;test data49|115|6更新时间：2025-07-16
- 摘要：Due to the tamperproof and lightweight nature, physical unclonable function are proposed to provide security with low cost for the internet of things. Security of PUF itself has attracted much more attention. Almost all strong PUF can be modeled using machine learning techniques, while the complicated PUF with non-linear structure, which are resistant to machine learning modeling, are vulnerable to side channel attacks. According to the unified symbol rules, the paper presents existing side channel attack methods on strong PUFs,such as reliability analysis, power analysis and fault injection. The principles,performance and applications of side channel/machine learning hybrid attack methods are elaborated and analyzed. In the end, the temporary predicaments and countermeasures of side channel attack on PUF are discussed.关键词：strong PUF;side-channel hybrid attack;machine learning;reliability;power analysis;fault injection141|315|1更新时间：2025-07-16
- 摘要：In non-cooperative communications, due to the deterioration of the channel,the Signal-Noise Ratio (SNR) of the receiving signal is very low in many cases, resulting in the inability to accurately estimate the symbol rate. Stochastic resonance can use noise energy to transfer and amplify the weak signals to some extent, and wavelet transform can effectively detect the instantaneous variation of phase and amplitude of the signals. By using the advantages of both methods, a combination algorithm for estimating the symbol rate of MPSK and MQAM is proposed. First, the adaptive parameter-tuning stochastic resonance is used to match the optimal system parameters for noisy signals, and then the transient information is further extracted by Haar wavelet transform, which not only compensates for the shortcomings of the poor effect of using stochastic resonance alone and its easy divergence as a non-linear system, but also reduce the influence of the optimal scale of the wavelet. The simulation result shows that this method can improve the output peak and reduce the SNR threshold, which is suitable for the symbol rate estimation under low SNR.关键词：weak signal processing;symbol rate;parameter-tuning stochastic resonance;wavelet transform30|109|0更新时间：2025-07-16
- 摘要：A topology of novel single-phase full-bridge passive soft-switching inverter is proposed to improve conversion efficiency of the single-phase full-bridge inverter. During the commutation process of each switching cycle, the low-loss auxiliary resonant circuit of the inverter is used to save energy. There are some passive devices such as inductor, capacitor and diode, which cannot complicate the control strategy of the inverter. In addition, freewheeling of load current can be realized via the auxiliary circuit and the distortion ratio of output current waveforms of the inverter is reduced when the inverter is in the dead state. The operation process of the circuit is analyzed. The experiment is carried out on a 3kW one-phase laboratory prototype. Experimental results verify that the switching devices of the inverter can achieve soft-switching and the distortion ratio of output current waveform of the inverter is improved. Therefore, the topology has an important reference value for the research and development of high performance single-phase full-bridge inverter.关键词：inverter;passive;soft-switching;zero-current turn-on;zero-voltage turn-off40|131|1更新时间：2025-07-16
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