最新刊期
卷 48 ， 期 6 ， 2020
- 摘要：The optimization of physical layer security scheme in the multiple input multiple output (MIMO) fullduplex two-way communication system is studied, where legitimate nodes send confidential information and null space artificial noise while receiving information. For the case where the eavesdropping's channel state information is only statistically known and there is residual self-interference, the closed-form expression of the average achievable secrecy sum rate is first derived, then its lower bound is further given. Aiming at maximizing the lower bound, the power allocation factors of the artificial noise and the information signal,along with the power allocation matrices of the information signal are jointly optimized.An iterative method is used. In each iteration, we first fix the former and optimize the latter, then fix the latter and optimize the former. The DC (Difference of Concave/Convex, DC) programming and the genetic algorithm are used to optimize the information’s power allocation matrices as well as the power allocation factors of the information signal and artificial noise respectively. The simulation results prove that the theoretical derivation is correct, and the optimization algorithm can effectively improve the average secrecy sum rate.关键词：physical layer security;MIMO;full duplex;two-way communication;secrecy sum rate89|385|4更新时间：2025-07-16
- 摘要：In video frames, the complex environment background, lighting conditions and other visual information unrelated to action bring a lot of redundancy and noise to action spatial feature, which affects the accuracy of action recognition to some extent. In view of this, this paper proposes a recurrent region attention cell to capture the visual information of the region related to the action in spatial features. Based on the sequence nature of video, a recurrent region attention model (RRA) is proposed. Secondly, this paper proposes a video frame attention model (VFA) that can highlight the more important frames in the video sequence of the whole action, so as to reduce the interference brought by the similar before and after correlation between video sequences of different actions. Finally, this paper presents a network model which can perform end-to-end training: recurrent region attention and video frame attention based video action recognition network (RFANet). Experiments on two video action recognition benchmark UCF101 dataset and HMDB51 dataset show that the RFANet proposed in this paper can reliably identify the category of action in the video. Inspired by the two-stream structure, we construct a two-modalities RFANet network. In the same training conditions, the two-modalities RFANet network achieved optimal performance on both datasets.关键词：action recognition;recurrent region attention;video frame attention;recurrent neural network41|107|1更新时间：2025-07-16
- 摘要：Pilots' fatigue state recognition faces two important issues: how to extract the characteristics that characterize fatigue and how to model fatigue characteristics. Firstly, the EEG (ElectroEncephaloGram) signal is extracted, and the instantaneous frequency domain information based on the affine pseudo-smooth Wigner-Ville distribution is calculated to construct the fatigue state index. Secondly, based on the periodic changes of each channel of EEG signals, the fatigue state classification algorithm of Gamma deep belief network is proposed. Unlike other learning network using convolution and pooling, the proposed network does not split the image or signal, but the hidden layer at the bottom can effectively learn the features of a specific region, and when the number of layers increases, the number of features increases and the features are more general. The Gibbs sampling algorithm for training the deep belief network is improved. The up-down Gibbs sampling is proposed to infer the network parameters. Finally, the experimental results show that the Gamma deep belief network in this paper has achieved satisfactory results in terms of recognition accuracy, stability and iteration time.关键词：EEG signals;pilots' fatigue;fatigue recognition;Gamma deep belief network42|143|1更新时间：2025-07-16
- 摘要：A new sequential equivalent sampling method is proposed based on the principle of frequency difference method, which transforms the sampling problem from time domain to frequency domain. The feasibility of the proposed method is theoretically analyzed and also verified by an experimental circuit board, where the equivalent sampling frequecy can be set arbitrarily by changing the frequency difference. This method simplifies the design of step delay system and reduces the interference introduced in time delay path, making out the minimum step delay is 1.71ps and the maximum sequential equivalent sampling rate is about 585GS/s. In order to shorten the total time required for sequential equivalent sampling, a technique of frequency doubling sampling clock is proposed. The proposed sampling method can be widely used in other equivalent sampling systems.37|104|1更新时间：2025-07-16
- 摘要：Deep neural network models for Uyghur personal pronouns resolution learn semantic information for current anaphora chain, but ignore the long-term effects of single anaphora chain recognition results. This paper proposes a Uyghur personal pronoun anaphora resolution based on deep reinforcement learning. This method defines the anaphora resolution task as the sequential decision process under the reinforcement learning environment, and effectively uses the antecedent information in the previous state to determine the current personal pronoun-candidate antecedent pairs. In this study, we use an overall reward signal optimization strategy, which is more efficient than directly using the loss function heuristic to optimize a specific single decision. Finally, we conduct experiments in the Uyghur dataset. The experimental results show that the F value of this method in the Uyghur personal pronouns resolution task is 85.80%. The experimental results show that the deep reinforcement learning model can significantly improve the performance of the Uyghur personal pronouns resolution.关键词：reinforcement learning;anaphora resolution;Uyghur;word embedding;deep learning;natural language processing122|140|2更新时间：2025-07-16
- 摘要：On the fusion of panchromatic and multispectral images, two important aspects, up-sampling of multispectral images and the difference of channel details, are ignored. For the former, the loss details of low-resolution images are estimated by using self-similar patch at different scales to improve up-sampling. For the latter, the local weighted dynamic sparse constraint is proposed based on the structural similarity between panchromatic images and spectral images in gradient domain. The new objective function based on variational method are proposed, the fidelity term and the regularization term of whose are constructed respectively according to the former and the latter. In addition, a multi-scale iterative fusion framework is presented, where the resolution of the fused image is gradually improved through iterations. The fused results of each iteration are more accurate, so the final fused image is improved. Our algorithm is compared with Brovey and other component substitution algorithms, P+XS and other variational algorithms, MTF_GLP and other multi-resolution analysis algorithms. The experimental results show that the fusion results of this algorithm have good visual effect, and the objective evaluation index is better than the average of the optimal value of all comparison algorithms.关键词：multispectral image;remote sensing image fusion;multiscale self-similarity;local weighted dynamic sparse constraint54|165|2更新时间：2025-07-16
- 摘要：Mutual coupling effect is an important and intrinsic property of array antenna. Because of its special main beam pointing and the small element spacing required to suppress the grating lobes, the mutual coupling effect of end-fire array antenna arrays is much more serious than that of side-fire array. In this paper, the influence of mutual coupling effect on the pattern of end-fire array is analyzed, and the pattern model of end-fire array with mutual coupling effect is constructed. Then the clutter model considering mutual coupling effect is given and the influence of mutual coupling on the clutter spectrum and STAP (Space-Time Adaptive Processing) performance of end-fire array airborne radar is analyzed. Finally, a mutual coupling effect compensation method based on clutter covariance matrix reconstruction is proposed. The computer simulation verifies the effectiveness of the proposed method.关键词：mutual coupling effect;end-fire array;clutter model;covariance matrix reconstruction;mutual coupling compensation32|72|1更新时间：2025-07-16
- 摘要：Manifold learning method can find the low-dimensional manifold structures embedded in high-dimensional data. However, the traditional manifold learning algorithms assume that all samples lie on a single manifold, while the samples in different subsets may belong to different sub-manifolds. To solve the above problem, a new dimensionality reduction (DR) method termed supervised multi-manifold discriminant embedding (SMMDE) is proposed for classification of hyperspectral remote sensing image. At first, the proposed method explore the labels of HSI data to divide samples into different sub-manifolds. Based on the graph embedding framework, the intra-manifold and inter-manifold graphs are constructed to represent the multi-manifold structure of HSI data, and the intra-class aggregation and inter-class separation are enhanced by minimizing the intra-manifold distance and maximizing the inter-manifold distance simultaneously. Therefore, low-dimensional discriminant features are obtained to improve the performance of HSI classification. Experimental results on the PaviaU and KSC hyperspectral data sets show that the overall classification accuracies respectively reach 88.04% and 84.53% when 2% training samples are randomly selected for training. The proposed SMMDE method can effectively improve classification performance compared with many state-of-art DR algorithms.关键词：hyperspectral remote sensing image;classification;feature extraction;graph embedding;multi-manifold learning36|107|5更新时间：2025-07-16
- 摘要：According to the research of satellite magnetic characteristics and magnetic test, the model of satellite multi-magnetic dipole is established, the linear part and nonlinear parts are separated, The root mean square of the difference between the simulated value and the measured value is taken as the objective function, and the genetic algorithm is used to search the position of the multi-magnetic dipoles, at the same time, the fitness error between measurements and calculations is monitored so that when the object function reaches the optimum, the fitness error can meet the requirement. At last, the magnetic properties of the satellite in static state and electrified state are calculated, the result shows that the magnetic model obtained by adopting the method is high accurate and strong robust, the error of magnetic field and magnetic moment are both less than 5%.关键词：satellite;multi-magnetic dipole;genetic algorithm;error34|110|2更新时间：2025-07-16
- 摘要：High reliability is essential for spaceborne antenna, however PCB feeder and solder joint are usually lacking of guarantee in reliability. Therefore, a integrative and solderless design of cable, balun and spital is proposed using improved balun, intensifying the cooperative design idea of electricity, structure and technology. As a example, a UWB conical spiral antenna is designed. The simulated results show that the antenna achieves a wide-angle coverage with high gain and low axial ratio, as same as high front-to-back ratios.关键词：conical spiral antenna;wide-band and wide-beam;high gain;integration36|91|0更新时间：2025-07-16
- 摘要：A finite element model of board level assembly BGA (Ball Grid Array) solder joint is established, the stress simulation analysis of BGA solder joint in the cooling process of reflow soldering is carried out, the confirmatory experiment is designed and carried out to verify the validity of simulation analysis method, and the influence of solder joint structure parameters and material on the stress and strain of solder joint are analyzed. The regression equations of the stress and structure parameters of the solder joints is established by the response surface method, and solder joint structure parameters are optimized by genetic algorithm. The results show that the experiment results verify the effectiveness of the simulation analysis, the stress of the solder joint increases with the increase of the height of the solder joint, and decreases with the increase of the diameter of the solder joint, and the optimal level combination of solder joint structure parameters is the height of 0.44mm, the diameter of 0.65mm, the pad diameter of 0.52mm and the solder joint pitch of 1.10mm, the simulation results of the optimal level combination of solder joint show that the maximum stress decreases by 0.1101MPa.关键词：board level assembly BGA solder joint;cooling process of reflow;stress and strain;response surface analysis;genetic algorithm21|80|1更新时间：2025-07-16
- 摘要：At present, the existing high-resolution range profile radar target recognition algorithm with limited training data still has several drawbacks (e.g., low recognition accuracy and poor recognition stability). To this end, an efficient radar target recognition algorithm is developed in this paper, which is based on data augmentation and Weighted Auxiliary Classifier Generative Adversarial Networks (WACGAN). Specifically, we expand data set by using the data augmentation method based on time mirroring, and the radar target scattering characteristics is considered. After that, the WACGAN with expanded data set is used to automatically select high-quality generated samples and further optimize the discriminator, which has been improved through the supervised learning. Then, the optimized discriminator is used to recognize radar target. Finally, several numerical experiments have been carried out to demonstrate that, under the condition of limited training data, the proposed algorithm possesses higher recognition accuracy and better recognition stability without increasing recognition time.关键词：radar target recognition;data augmentation;generative adversarial network46|140|15更新时间：2025-07-16
- 摘要：Start-of-the-art deep packet inspection system uses deterministic finite automata (DFA) algorithms to perform regular expression matching. Nevertheless, the storage consumption problem caused by DFA make it difficult to apply to FPGA with scarce on-chip resources. At present, there are many algorithms aiming at solving the space explosion problem of DFA, but it affects the detection speed of the system to some extent while bringing better compression ratio. In this paper, a DFA compression algorithm without matching time loss is proposed. Based on the hardware platform of FPGA, a single DFA matching engine is designed and implemented. Experimental results show that the algorithm can achieve a compression rate of 10% to 30% without affecting the matching performance of the whole system.关键词：deep packet inspection;DFA;storage compression;FPGA33|85|0更新时间：2025-07-16
- 摘要：To tackle the problem of active cancellation of unknown and time-varying narrowband signal caused by the ship power engineering equipment, an active noise control algorithm for suppressing unknown and time-varying narrowband noise is proposed based on the concept of signal tracking and generation in the phase locked loop (PLL). Firstly, with the introduction of secondary path in the enhanced phase locked loop (EPLL), an active algorithm is developed; secondly, with the approximation analysis, the differential equation of the EPLL-based algorithm is carried out to derive its performance relationship with the input signal amplitude and the secondary path. With normalizing of amplitude and secondary path, an improved pseudolinear (PL)-EPLL based active noise algorithm is derived. Compared to the EPLL-based algorithm, the convergence performance of the estimated amplitude, frequency/phase equation is independent with the amplitude of unknown narrowband signal and secondary path. Besides, the convergence performance is consistent when the noise source is composed of multi-frequency sinusoidal with different signal noise ratio. Finally, simulations conducted validate the effectiveness of the proposed PL-EPLL based active noise control.关键词：noise cancellation;phase locked loop;time-varying;narrowband noise23|71|0更新时间：2025-07-16
- 摘要：Traditional deep networks used for radar High-Resolution Range Profile (HRRP) target recognition usually ignore the inherent characteristics of the target, which results in the limited capability to learn effective features for classification task. To address this issue, a novel nonlinear feature learning method, called Robust Variational Auto-Encoder model (RVAE) is proposed. According to the stable physical properties of the average profile in each HRRP frame without migration through resolution cell, RVAE is developed based on variational auto-encoder, and such model is able to not only explore the latent representations of HRRP but also reserve structure characteristics of the HRRP frame. We use the measured HRRP data to show the effectiveness and efficiency of our algorithm.关键词：radar automatic target recognition (RATR);high-resolution range profile (HRRP);feature extraction;robust variational auto-encoder (RVAE)25|189|7更新时间：2025-07-16
- 摘要：Considering high-speed mobile communications, transceivers always work subject to the large Doppler shift and limited pilot overhead, which severely influences the overall performance of traditional carrier synchronization pattern (TCSP). Thus, a strong robust carrier parameter estimation decoupling technique (CPEDT) is proposed, followed by its application to the TCSP (yielding the CPEDT-TCSP). First, the pilot signals with certain length are selected at receiver to perform the demodulation operation, and then the correlation operation with an effective delay length α is performed by the demodulation signals. On the one hand, the frequency offset is estimated by the result of the correlation operation, and on the other hand the conjugate form of the correlation operation result which takes α as half of the pilot length α is used to implement maximum likelihood (ML) phase offset estimation. Theoretical analysis and simulation results show that considering a modified data frame, the CPEDT-TCSP can implement the decoupling between both the frequency offset estimation and phase offset estimation in the TCSP, and can also reduce the complex multiplication operations for the ML phase offset estimation.关键词：Doppler effect;data-aided;ML criterion;carrier synchronization;high-speed mobile communications29|76|0更新时间：2025-07-16
- 摘要：Aiming at the problem of long-term stability of the network topology caused by high-speed movement of nodes in a space information network, a dynamic topology control method based on the algebraic connectivity optimization is proposed to reduce the number of links so as to maintain the stability of the network topology. In order to reduce the adverse effect of the continuous relative motion of the space information network nodes on the stability of the network topology, according to the network initialization and network reconstruction scenarios, the Laplacian eigenvalue optimization in graph theory is used to construct the algebraic connectivity optimization model with resource constraints. To reduce the computational complexity and achieve agile control of network topology, a dynamic network topology control strategy based on weak perturbation of connectivity matrix is proposed. The results show that the proposed algorithm can obtain suboptimal solutions very efficiently through the interior point method, and the suboptimal solution is very close to the global optimal solution.关键词：space information networks;graph theory;distributed algorithm;algebraic connectivity;convex optimization;topology control65|77|0更新时间：2025-07-16
- 摘要：For wireless backhaul of heterogeneous networks (HetNet), the existing researches mainly focus on improving the network throughput. However, few research is done on the coverage performance in the backhaul link. Therefore, this paper constructs a massive multiple input multiple output (MIMO) enabled multi-tier heterogeneous network model combing full-duplex (FD) and non-orthogonal multiple access (NOMA) technologies on small cell base stations (SBSs). The signal-to-interference ratio (SIR) is utilized to simulate the distribution of active SBS, and the interference is obtained at different types of receivers. Then, the mobile user (MU) downlink coverage probability closed-form expressions are deduced. Simulation and numerical results show that the SBS downlink coverage probability decreases as the downlink power sharing coefficient of the small cell increases. In addition, by comparing the effects of NOMA and orthogonal multiple access (OMA), FD and half-duplex (HD) on downlink coverage performance, network performance of the proposed scheme is significantly improved.关键词：heterogeneous networks;massive multiple input multiple output;non-orthogonal multiple access;full-duplex;power sharing67|85|0更新时间：2025-07-16
- 摘要：Aiming at the problem of scarcity of on-board resources and low energy utilization efficiency in multi-beam satellite communication system, this paper proposed the power allocation algorithm in distributed satellite cluster network downlink considering both system power consumption and data rate. And the energy efficiency of the system is optimized by reasonable resource allocation. First we built distributed satellite cluster power allocation model and transformed the problem of fractional form to simple subtractive form. Then based on convex optimization, the power-data rate trade off power allocation algorithm is proposed, and the trade-off between energy efficiency (EE) and spectral efficiency (SE) is discussed. The numerical results validate the effectiveness of the proposed algorithm and the EE-SE tradeoff, and the influence of circuit power on system performance is also analyzed.关键词：distributed satellite cluster network;satellite communications;energy efficiency;convex optimization;space network architecture;satellite-terrestrial link;multi-beam satellite37|78|2更新时间：2025-07-16
- 摘要：Existing channel state information (CSI) feedback methods for frequency division duplexing (FDD) multiple-input multiple-output (MIMO) systems have high complexity and low feedback accuracy. In this paper, a deep learning-based CSI compression feedback method is proposed. The method first uses the convolutional neural network (CNN) to extract the channel feature vector, and then uses the maximum pooling (Maxpooling) network to compress the CSI. Finally, considering the spatial correlation of the massive MIMO channel, bidirectional long short-term memory (Bi-LSTM) network and bidirectional convolution long-term memory (Bi-ConvLSTM) network are used for single-user and multi-user scenarios respectively to recover the CSI. In this paper, the deep learning network is trained offline using massive MIMO channel data, the channel information learned by the network can fully characterize the states of the channel. The simulation results show that compared with the existing typical CSI feedback methods, the proposed method has higher feedback accuracy, shorter running time and better system performance.关键词：FDD;massive MIMO;channel state information;deep learning;compression feedback;spatial correlation83|105|2更新时间：2025-07-16
- 摘要：Generate-to-adapt model has used generative adversarial network to implement model structure and has made a breakthrough in domain adaptation learning. However, some of its network structures lack information interaction, and the ability to use only adversarial learning is not sufficient to completely reduce the inter-domain distance. In this paper, an unsupervised domain adaptation classification model based on generative adversarial network (UDAG) is proposed. This model optimizes inter-domain differences and makes full use of the information between unsupervised confrontation training and supervised classification training to learn the shared features between the source and target domain distribution. The experimental results under four domain adaptation conditions show that the UDAG model learns better shared feature embedding and implements domain adaptive classification, and the classification accuracy is significantly improved.关键词：generate-to-adapt model;transfer learning;domain adaptation learning;generative adversarial network;MK-MMD;unsupervised learning133|138|8更新时间：2025-07-16
- 摘要：To enhance the classification performance and noise sensitivity of emitter signal recognition, a recognition system based on kernel space time-frequency feature and stacked sparse denoising auto-encoders (SSDAE) is proposed. Firstly, the noise interference and feature redundancy reduced by time-frequency transform, sparse-domain denoising and kernel space dimensionality reduction. Then, it is based on the idea of sparse auto-encoder (SAE) and denoising auto-encoder (DAE), an SSDAE based recognition network is constructed. Experimental results show that the system has the best comprehensive performance in recognition rate and time efficiency, which can significantly reduce noise sensitivity and improve low SNR environment adaptability. When the SNR is -12dB, the overall average recognition rate of the system for the 8 types of emitter signals reaches 96.75%.关键词：emitter signal recognition;sparse denoising auto-encoder;time-frequency feature;kernel mapping;mini-batch stochastic gradient descent method (MSGD);dropout regularization87|93|6更新时间：2025-07-16
- 摘要：In the actual production life conditions, a large number of multiple choices can be converted into a multiple-choice knapsack problem (MCKP), but MCKP is a classic NP-hard problem. Therefore, for very large scale MCKP, it is often only possible to use the particle swarm algorithm, wolf pack algorithm, fish swarm algorithm and so on to solve the problem. For swarm intelligence algorithms, efficient and fast greedy algorithms play a key role in the generation of initial solutions. Based on the convex Pareto algorithm (CPA), an improved Pareto algorithm (IPA) that can quickly get the linear programming dominated set is proposed. IPA firstly selects the minimum weight item of each set, then computes the value density of all items, and finally chooses the greedy choice of the item according to the value density from high to low. When the value of the greedy option is greater than the original selection of the item set, then IPA is iterated. The simulation results show that compared with CPA, the speed of IPA is increased by 98.86%. The PSO-IPA solution accuracy is increased by an average of 28.92%.关键词：multiple-choice knapsack problem(MCKP);greedy algorithm;big data;Pareto front;convex optimization;swarm intelligence algorithm;integer optimization113|83|1更新时间：2025-07-16
- 摘要：The "three-layer two-interface" architecture of software-defined networking (SDN) enables attackers to infer fingerprint information such as network type, controller type, and key flow rules by analyzing the round-trip time distribution of packets. Currently SDN fingerprint attack and its defense research are not mature, so this paper constructs a full-factor SDN fingerprint attack chain. Then, the probabilistic scrambling mechanism and controller dynamic confusion scheduling mechanism are designed in the dual time dimension respectively. More specifically, the gradient probabilistic scrambling and optimal confusion scheduling synergistically promote the information hiding degree of SDN fingerprint. The experimental results show that the mechanism can effectively hide the SDN fingerprint information while reducing the impact on network performance.关键词：SDN fingerprint attack;round-trip time;fuzzy confusion;fingerprint information hiding degree;probabilistic scrambling mechanism;controller dynamic confusion scheduling mechanism58|63|0更新时间：2025-07-16
- 摘要：Cyberbullying has attracted the increasing attention among researchers. Social and computer science researchers have explored cyberbullying from various perspectives. This paper surveys the existing work on cyberbullying detection in social and computer science domains. It first introduces the basic research problems and characteristics of cyberbullying; second, it discusses a variety of machine learning algorithms for cyberbullying detection, including supervised learning, weakly supervised learning, rule-based and deep learning algorithms; and third, it summarizes 12 existing datasets used in cyberbullying detection and the popular metrics for detection performance. Finally, the paper analyzes the potential research from several aspects, such as cyberbullying detection approaches based on heterogeneous information network, auxiliary information fusion, and psychological characteristics.关键词：cyberbullying;bullying detection;machine learning;social network;bullying feature;cyberbullying dataset150|232|1更新时间：2025-07-16
- 摘要：Object detection is a hot topic in the field of computer vision, and has been widely used in robot navigation, intelligent video surveillance, aerospace, and other fields. The research background, significance and challenges of object detection were introduced. Then the object detection algorithms based on deep learning were reviewed according to two categories: candidate region-based and regression-based. For the candidate region-based algorithms, we first introduced the R-CNN (Region with Convolutional Neural Network) based series of algorithms, and then the R-CNN based methods were overviewed from four dimensions: the research of feature extraction networks, the region of interesting pooling researches, improved works based on region proposal networks, and some improved approaches of non maximum suppression algorithms. Next, the regression-based algorithms were surveyed in terms of YOLO (You Only Look Once) series and SSD (Single Shot multibox Detector) series. Finally, according to the current trend of object detection algorithms that are developing more efficient and reasonable detection frameworks, the future research focuses of unsupervised and unknown category object detection directions were prospected.关键词：object detection;deep learning;feature extraction;computer vision;video surveillance;image processing;convolutional neural network292|297|69更新时间：2025-07-16
- 摘要：In this work, we fabricate and investigate the Schottky β-Ga2O3 solar-blind UV photodetectors. The results show that full width at half maximum of the X-ray diffraction peak from (-201) plane of the β-Ga2O3 grown by pulsed laser deposition is only 36 arcsec, indicating that the epitaxial β-Ga2O3 has a high crystal quality. The fabricated Schottky diodes based on the β-Ga2O3 exhibits obvious Schottky rectification characteristic, and the dark current maintains at 0.1 nA magnitude under -5 V bias voltage, and forward conduction voltage is 1.5 V. The photocurrent spectrum show that the device exhibits remarkable peak response at 240 nm, a steep cutoff wavelength at 260 nm, and a rejection ratio of 1000 between in-band and out-band of solar-blind ultraviolet. Meantime, the effects of different dopants on the crystal quality of β-Ga2O3 are also studied.关键词：Schottky;β-Ga2O3;solar-blind UV photodetector31|74|0更新时间：2025-07-16
- 摘要：When single-phase full-bridge rectifier works in the hard-switching state, with the increasing of switching frequency and output power, the switching loss will increase significantly, which has negative influence on the efficiency of the rectifier. In order to solve this problem, a single-phase full-bridge soft-switching rectifier is proposed. When the rectifier is in the dead state, the voltage across the resonant capacitor in parallel with the main switch can decrease to zero via the resonance of the auxiliary circuit. The main switch can achieve zero-voltage switching, and the bidirectional auxiliary switch can achieve zero-current switching. The commutation process of the rectifier is analyzed. The experimental results show that the main switch and auxiliary switch can achieve soft-switching. Therefore, the single-phase full-bridge soft-switching rectifier can achieve high-efficiency operation with high switching frequency.关键词：rectifier;switching loss;bidirectional switch;zero-voltage switching;zero-current switching28|84|1更新时间：2025-07-16
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