最新刊期
卷 49 ， 期 7 ， 2021
- 摘要：Rapid localization of autonomous underwater vehicles (AUVs) plays an important role in target pursuit tasks. We study active localization method for AUVs using noisy relative measurement, which achieves the precise position estimate of AUVs as quickly as possible under inaccurate initial estimates. A framework for active localization of AUVs with excellent scalability is proposed, which is composed of measurement module, control module and estimation module. In control module we design the motion strategy for AUV, which makes simultaneous convergence of position estimate and the relative geometric location between AUV and beacon. Using noisy relative measurement, a method based on reinforcement learning is adopted to achieve the motion strategy. The numerical simulation results show that the proposed framework and motion strategy has better rapidity and robustness than the traditional localization method.关键词：autonomous underwater vehicles;active localization;motion plan;unactuated initial estimates;target pursuit;reinforcement learning3|17|3更新时间：2025-12-08
- 摘要：To solve the problems of the existing anomaly detection models, such as incoherent latent representation distribution under in high‑dimensional and diverse(within each class) data background, the low accuracy of feature extraction when unbalanced data(normal data far outweighs abnormal data) is large, and the sensitivity of classifier’s hyperparameter, a deep adversarial learning latent representation distribution model for anomaly detection is proposed. Based on the regularization constraint, an improved autoencoder can map the original data feature space to a low‑dimensional the latent feature space to get the reasonable latent representation distribution. On the premise of avoiding the problems of circulation inconsistent of reconstruction feature and unstable training, the multi‑discriminator‑based generative adversarial network can evaluate the latent representation probability distribution accurately, and to solve the hyperparameter sensitivity of one class classifier, so as to improve the overall performances of anomaly detection. Experimental results show that, compared with the up‑to‑date anomaly detection models based on machine learning and deep learning, the proposed model can obtain more coherent space distribution and ideal probability distribution of latent representation, is not sensitive to the hyperparameters of the single‑class classifier, and effectively improve the detection performances under the application background with high‑dimensional, diverse, unbalanced data.关键词：anomaly detection;deep learning;autoencoder;generative adversarial network;latent representation;feature fusion6|18|8更新时间：2025-12-08
- 摘要：Aiming at the problem that most of the existing trajectory privacy protection models are difficult to withstand complex background knowledge attacks, this paper proposes a trajectory privacy protection method based on differential privacy. Firstly, the Laplacian noise with limited radius is added to the original trajectory data by combining the mechanism of geographic indistinguishability. Secondly, a data mapping model is constructed to map the original data and noise data to the new publishing location, so that the attacker cannot obtain the real trajectory data. Then the optimal data mapping function is applied to publish the optimal trajectory position to improve the availability of published data. Finally, differential privacy is used to defend against non‑sensitive information inference attack to further protect user privacy. The experimental results show that the algorithm in this paper can not only effectively protect the privacy of users in the trajectory data, but also ensure the availability of the data.关键词：trajectory data;privacy protection;differential privacy;geographical indistinguishability;background knowledge attack;inference attack9|20|4更新时间：2025-12-08
- 摘要：Recently, the WEBee system achieved the one‑way communication from WiFi to ZigBee on the physical level by emulating the time‑domain signal of receiver. However, there are some shortcomings in WEBee such as short FRR (Frame Receive Rate) of single transmission frames and a large SER (Symbol Error Ratio). In view of the above‑mentioned facts, this paper proposes an optimization scheme via split coding before cyclic prefix (CP). The main idea is splitting and coding the synchronization word sequences in ZigBee’s preamble. It can reduce the error occurred in the CP operation effectively and improve the FRR. The results show that the maximum FRR can reach 65.2%, which is 8.1% higher than the original system. Furthermore, the SER is reduced from 2.7% to 1.8%.关键词：cross‑technology communication(CTC);cyclic prefix(CP);synchronization word;split coding2|16|0更新时间：2025-12-08
- 摘要：To improve the robustness of transient interference processing, over‑the‑horizon radar (OTHR) can take the way of suppression after assured detection. This paper analyzes automatic recognition of transient interference in the range‑Doppler (RD) map, by transforming the RD map into gray image, extracting the texture features, and designing the classification algorithm based on machine learning. Firstly, a model of transient interference is developed to simulate the received data, so that the training does not rely on real data. Secondly, the image datasets are produced and classified into three categories, i.e. strong interference, weak interference, and non‑interference. Then, the local binary pattern (LBP) texture features are extracted to design the binary classifier based on support vector machine (SVM) and then design the ternary classifier by error‑correcting output codes (ECOC). Finally, simulations based on real data from OTHR and literatures demonstrate the effectiveness of our method and the effects of various parameters and image features.关键词：OTHR;RD map;transient interference;interference recognition;SVM;texture features3|18|4更新时间：2025-12-08
- 摘要：Traditional methods only focus on entities in the visual strategy network and cannot deduce the relationship between entities and attributes. There are problems of exposure bias and error accumulation in the language strategy network. Therefore, this paper proposes a multi‑level visual fusion network model based on reinforcement learning. In the visual strategy network, multi‑level sub‑neural network module is used to transform visual features into feature sets of visual knowledge. The fusion network generates the function words which make the description sentences more fluent and can be used for the interaction between the visual strategy network and the language strategy network. The gradient algorithm of self‑criticism strategy based on reinforcement learning is used to optimize the visual fusion network end‑to‑end. The experimental results show that the model can get good results in MS‑COCO data set and improve the CIDEr value of Karpathy segmentation test from 120.1 to 124.3.关键词：image captioning;visual fusion;reinforcement learning;strategy network;machine learning;attention mechanism3|20|4更新时间：2025-12-08
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Generalization of Zero‑Padded Tri‑Mode OFDM with Index Modulation Based on Three‑Stage LLR Detection
摘要：In this paper, we propose a generalization of zero‑padded tri‑mode orthogonal frequency division multiplexing with index modulation (GZTM‑OFDM‑IM) system based on the log‑likelihood ratio (LLR) detection. In the proposed system, a dual‑mode signal constellation is designed and applied, and a three‑stage detector based on LLR algorithm is applied for the receiver. Due to more index activation patterns produced in the transmitter, spectral efficiency (SE) of the proposed system is efficiently improved compared with the traditional ZTM‑OFDM‑IM system. Simulation results show that the GTM‑OFDM‑IM system has higher SE than the corresponding ZTM‑OFDM‑IM, and maintains the bit error rate (BER) performance depending on the proposed detection algorithm with low computational complexity. And theoretical BER upper bound of the proposed system is fit to the simulation results at the high signal‑to‑noise ratio (SNR) region.关键词：index modulation;orthogonal frequency division multiplexing (OFDM);dual‑mode signal constellation;log⁃likelihood ratio (LLR) detection;spectral efficiency (SE);bit error rate (BER);computational complexity6|21|0更新时间：2025-12-08 - 摘要：Aiming at the problems of loss channel capacity and high algorithm complexity of the existing matrix decomposition‑based hybrid precoding algorithms, a two‑stage based low complexity hybrid precoding algorithm is proposed. The algorithm is divided into two parts: obtaining the optimal full‑digital precoder and the hybrid precoder. Firstly, this paper combines singular value decomposition (SVD) and water filling algorithm to design an optimal full‑digital precoder with the requirement of lossless capacity. Then, to reduce the complexity of searching columns of the overcomplete matrix, the two‑stage hybrid precoding (TS‑HP) algorithm is proposed to obtain the hybrid precoding matrix. In the first stage, the candidate set of the analog precoding matrix is obtained according to the antenna array response matrix correlation. In the second stage, greedy search is used to search the candidate set to construct a hybrid precoding matrix. Simulation results show the proposed algorithm can effectively inprove the system performance and reduce the algorithm complexity.关键词：millimeter‑wave massive MIMO;hybrid precoding;singular value decomposition;low complexity;antenna array;greedy search3|20|1更新时间：2025-12-08
- 摘要：In order to solve the problems of query topic drift and word mismatch in natural language processing, an algorithm of association pattern mining and rule expansion based on CSC(Copulas-based Support and Confidence) framework is proposed. The association patterns based on statistical analysis are fused with the word embedding with context semantic information, and a pseudo-relevance feedback query expansion model is presented based on the fusion of association pattern mining and word embedding learning. In this model, the rule expansion terms are mined from the pseudo-relevance feedback document set, and the word vectors are obtained by word embedding learning training of the initial document set. The vector similarity between the rule expansion term and original query is calculated, and the rule expansion terms whose vector similarity is not lower than the threshold are extracted as the final expansion terms. The experimental results show that the proposed expansion model can effectively reduce the problems of query topic drift and word mismatch, improving the performance of information retrieval. Compared with the existing query expansion methods based on association pattern and word embedding, the average increase of the MAP（Mean Average Precision）of the proposed expansion model is up to 17.52%. The expansion model in this paper is more effective for short queries. The proposed mining method can be used in other text mining tasks and recommendation systems to improve their performance.关键词：natural language processing;information retrieval;text mining;word embedding;query expansion2|22|2更新时间：2025-12-08
- 摘要：Generalized signcryption can run flexibly in three modes: signcryption, signature and encryption, and has strong practicability.This paper combines lattice‑based signature scheme and key exchange protocol to construct a trapdoor-free generalized signcryption scheme.In the construction, a distinguishing function is introduced, which automatically identifies the three modes of encryption, signature and signcryption according to the key conditions of the sender and the receiver. This ensures the excellent symmetry of the algorithm in these three modes.Finally, based on the deterministic learning with errors (LWE) problem on the ring, itused the method of FO13 toprove that the scheme satisfies the indistinguishability against adaptive chosen ciphertext attack (IND-CCA2) security and the strong unforgeability against choosing message attack (SUF-CMA) security.It is based on Fiat-Shamir with abort framework which does not use complex preimage sample algorithmand trapdoor generation algorithm, so it has high computational efficiency.关键词：generalized signcryption;learning with errors on rings;trapdoor‑free lattice‑based signcryption;discernibility function;quantum attack resistance2|17|3更新时间：2025-12-08
- 摘要：In order to simulate one‑dimensional discrete time quantum walks after a long time of evolution and reduce the computational complexity, we propose a path analysis approach. Dividing every path of a discrete time quantum walk into a set of blocks and counting number of paths starting from an initial qubit state, we give an expression for some evolution operator in form of a linear combination of a fixed set of basis in a 2‑dimensional matrix space. As a consequence, we present a calculating formula of probability distribution in terms of hypergeometric polynomial and give a sufficient condition on symmetry of probability distribution which is only determined by initial qubit states. Our experimental results reveal that this method can well simulate the evolution process in a long time scale. We also briefly extend these studies to more general discrete time quantum walks.关键词：discrete time quantum walk;flip operator;path analysis approach;limit distribution;probability distribution;symmetry2|17|0更新时间：2025-12-08
- 摘要：Aiming at the characteristics of high reliability of the intelligent lighting technique with limited communication data, a power line communication technology based on the conduction angle modulation is proposed. The chopper technology is used to modulate the conduction angle of the power waveform and transmit the modulated power waveform on the power line. The principle of the coding in the design is simple and distinctive, in which a complete power waveform corresponding to signal "0", while the chopped waveform relating to signal "1". One frame data contains 24 bit signal. In consideration of the power quality standard of power grid, the conduction angle modulation interval is from 0.91 π to π. Based on the practical testing results, the design can realize dimming control, the total harmonic distortion rate is less than 5%, the voltage flicker amplitude is less than 4%, and the power factor is greater than 0.90. This design has a wide application prospect in the field of intelligent lighting.关键词：conduction angle;power line communication;light dimming;total harmonic distortion;voltage flicker;power factor;electromagnetic compatibility2|26|2更新时间：2025-12-08
- 摘要：Impact is one of the main damage types involved in structural health monitoring research. To improve the impact localization accuracy, a two‑dimensional beam‑focusing probabilistic imaging localization algorithm based on the cross‑shape sensor arrangement is proposed. The blind zone of impact detection can be reduced through the cross‑shape sensor arrangement. And the accuracy of impact localization can also be improved by two‑dimensional beam‑focusing probabilistic imaging method. In the two‑dimensional beam focusing algorithm, the accuracy of the impact wave speed testing has high influence on the effect of the impact localization. The probability distribution of the wave velocity is obtained through statistical analysis. The distribution is brought into the two‑dimensional beam focusing probabilistic imaging localization algorithm to localize the impact. The probability distribution image of the horizontal sensor array and the vertical sensor array are obtained separately and further fused into one more accurate, scientific and intuitive probability distribution image. The validity and practicability of the method are verified through experimental research.关键词：impact damage;structural health monitor;probability tomography;cross array;two‑dimensional beam focusing algorithm;data fusion4|17|2更新时间：2025-12-08
- 摘要：A robust generalized labeled multi‑Bernoulli (GLMB) filter is presented to perform multi‑target tracking (MTT) with unknown statistical characteristics of glint noise. The glint noise with unknown statistical characteristics is modeled as a multivariate Student’s t distribution with unknown and time‑varying mean. The proposed filter relaxes the restrictive assumption that the mean of glint noise is zero, and can effectively deal with the problem of MTT under the condition that the mean of glint noise is unknown and time‑varying. The variational Bayesian approximation is applied in the GLMB filtering framework with the augmented state. The approximate solution of the marginal likelihood function can be obtained by minimizing the Kullback‑Leibler divergence. The simulation results demonstrate that the proposed filter can effectively track multi‑target when the statistics of glint noise is unknown.关键词：random finite set;multi‑target tracking;glint noise;unknown statistical characteristics;variational Bayesian inference;generalized labeled multi‑Bernoulli filter2|17|2更新时间：2025-12-08
- 摘要：Residual hardware impairment (RHI) characteristics exist in actual transceiver which will have an important impact on the cooperative non‑orthogonal multiple access (NOMA) system performance. In this paper, downlink single eavesdropper and multi relay cooperative non‑orthogonal multiple access system with RHI is proposed, and the closed expression and asymptotic expression of secrecy outage probability performance is derived under the relay transmission scheme by maximizing SNR for joint legitimate and eavesdropping link(M‑LaE‑SNR)；The analytical and simulation results show that the secrecy outage performance of RHI‑D‑E‑MR‑NOMA system using M‑LaE‑SNR scheme is better than the other schemes, and the more the number of relays, and the performance advantage of the proposed scheme is more obvious with more relay numbers; Meanwhile, RHI can reduce the secrecy transmission performance of the system, and the influence of RHI on the performance is mainly related to the signal‑to‑noise ratio (SNR) of the main link and the number of cooperative relays; And RHI at different nodes have different influences on system secure performance. It is also proved that the order of user’s secrecy diversity order is equal to the number of relays K.关键词：non‑orthogonal multiple access;physical layer security;residual hardware impairment;relay selection scheme;secrecy outage probability;secrecy diversity order2|21|3更新时间：2025-12-08
- 摘要：Present vision based on dynamic head gesture recognition algorithms usually have disadvantages in generalization and recognition rate, and head‑mounted sensors are expensive and inconvenient. In view of the above problems, a dynamic head gesture recognition algorithm without head‑mounted sensors is proposed. Using this method based on two‑stream 3DCNN(3D Convolutional Neural Network), the dense optical flow is generated by head movements, the original data and dense optical flow are put into the motion feature extractor in parallel, and finally, features are fused. Experimental results show that the proposed algorithm has higher recognition accuracy and better generalization than the artificial feature extraction and C3D(Convolutional 3D) methods, and its recognition rate is as good as those head mounted sensors.关键词：deep learning;computer vision;human‑computer interaction;action recognition;dynamic head gesture;two‑stream network2|18|4更新时间：2025-12-08
- 摘要：Regional focusing irradiation (RFI) can precisely bring the energy of the transmitted signals to the specific regions. However, the array ultra‑sparsity results in high energy level in the sidelobe regions, which increases the risk of the jamming system being attacked in precision electronic warfare. Therefore, it is significant to alleviate the energy level in the sidelobe regions. We propose a method based on L∞‑norm to evaluate the energy level in the grating lobe regions, and introduce it to the RFI model to establish a multiobjective optimization model to alleviate the maximum energy in the sidelobe regions. The ADMM (Alternating Direction Method of Multipliers) framework is adopted to separate the origin problem into two subproblems. For subproblem‑I, we adopt the greedy method to derive the closed‑form solutions of the unimodular quadratic program. Regarding subproblem‑II, which has L2‑L∞ terms without constraints, we smoothen the L∞ term approximately, and employ the gradient descent method to solve it. The transmitted signal is obtained when the solutions of two subproblems are convergent. Numerical experiments reveal that the proposed model has better performance on alleviating the energy in sidelobe regions, and the adopted algorithm is more practical than the method based on L1‑norm.关键词：regional focusing irradiation (RFI);precision electronic warfare;ultra‑sparse array;sidelobe region;grating lobe region;alternating direction method of multipliers (ADMM)3|17|1更新时间：2025-12-08
- 摘要：Compared with the traditional color cameras, the dynamic vision sensor, a type of event‑based sensor, has higher time resolution, dynamic range, lower power consumption and lower bandwidth requirements. It has good application prospects in the field of automatic driving, which attracts more and more researchers’ attention. However, event‑driven data is asynchronous and lacks a unified representation. At the same time, in the complex traffic scenario, the traditional semantic segmentation model is difficult to be applied to the event‑driven data‑based traffic scene segmentation task, for instance, the lane detection task. In view of the above problems, our study proposes a three‑channel encoding method for event data, which is successfully used as the input of convolution neural network by considering the spatio‑temporal characteristics of event data comprehensively. This paper also proposes a lane segmentation algorithm based on encoding‑decoding model, which is superior to the traditional event‑based lane line segmentation. On the DET data set, with mIoU(mean Intersection over Union) as the evaluation index, this paper reaches 58.76%, which is 4.4% higher than the benchmark.关键词：event‑based;convolution neural network;lane detection;encoder‑decoder model;semantic segmentation;dynamic vision sensor;event representation7|20|4更新时间：2025-12-08
- 摘要：In the field of software testing, it is a hot research spot to generate test cases using genetic algorithm. In the traditional process of generating test cases by genetic algorithm, it is necessary to calculate the fitness of each individual. In order to reduce the time consumption of fitness calculation and reuse test cases, a test case generation and reuse method based on support vector machine regression model is proposed. In the process of using genetic algorithm to generate test cases, a certain number of individuals and their fitness are used as samples to train the support vector machine regression model. In the subsequent population evolution, individual fitness is calculated according to the regression model. At the same time, individuals with higher fitness are found by the regression model and applied to the evolution of the new population. In the experiment on a large program, compared with that of the same classical method, the coverage rate of this approach is increased by 3% and the average evolutional time is also reduced by 85.97%.关键词：test case;test reuse;support vector machine;genetic algorithm;fitness5|20|5更新时间：2025-12-08
- 摘要：D2D communication is one of the key technologies of 5G/B5G networks. Meanwhile, in 5G/B5G network, the centralized deployment of small base stations (BSs) makes user equipment (UE) located inside or outside the cluster. This paper constructs a network model based on Poisson point and Poisson cluster processes, and proposes a cluster‑based UEs classification scheme as well as a spectrum resource allocation scheme by joining orthogonal and sharing methods. The cluster‑based UEs classification scheme divides UEs into different types of cluster center and cluster edge UEs. The joint spectrum allocation scheme divides the available frequency band into two orthogonal sub‑bands, which are allocated to different types of UEs (BSs). For this design, this paper establishes a D2D receiver interference model, gives the interference distribution, and analyzes the coverage probability of the cluster center and cluster edge D2D receivers. Simulation and numerical results show that the D2D network coverage probability increases as the transmit power of pico BS (PBS) decreases. Meanwhile, the influence of the coverage radius of PBS and D2D transmitters on the coverage probability of the D2D network is also given.关键词：heterogeneous network;device‑to‑device (D2D) communication;user equipment classification;spectrum shared allocation;coverage probability3|23|2更新时间：2025-12-08
- 摘要：In order to reduce the complexity of LED selection algorithm in generalized space shift keying (GSSK) aided indoor visible light communication (VLC) system, a support vector machine (SVM) assisted low complexity and high efficiency machine learning LED selection algorithm is proposed for the considered GSSK‑VLC system. By modeling the LED selection in indoor GSSK‑VLC system as a multi‑classification problem, an optimization problem is constructed by utilizing kernel SVM. After the optimal parameters of the learning system are obtained, the LED selection procedure can be accomplished efficiently for any given user’s channel state information. Simulation results and complexity analysis show that, compared with traditional LED selection algorithms, the proposed SVM aided LED selection algorithm can achieve an ideal bit error ratio (BER) performance while having considerably lower complexity.关键词：visible light communication (VLC);generalized space shift keying (GSSK);LED selection;support vector machine (SVM)2|26|1更新时间：2025-12-08
PAPERS
- 摘要：With miniaturization, networklization and intelligentization of implantable medical electronic devices, the science and technology related are constantly updated and iterative. This paper reviews the development of implantable medical electronic devices as well as related crucial technologies, discusses from accurate sensing of physiological information in vivo, wireless reliable transmission to efficient processing of in vitro big data, and presents the latest development and direction of the scientific research. On this basis, the paper proposes a generation of intelligent vascular stents that can intelligently and constantly monitor "restenosis" and "endoleak" after stent implantation, which provides a concept and direction for the future development of vascular stents. This technology promotes China's internal implantable medical electronic devices to develop in the direction of high‑end and intelligentization.关键词：implantable medical electronic devices;intelligent vascular stents;recurrent stenosis;internal leakage;in vivo sensing;cross body transmission;wireless power supply3|23|2更新时间：2025-12-08
- 摘要：Salient object detection aims to detect and segment the most salient objects in the image. It is one of the important preprocessing steps in computer vision tasks, and it has a wide range of applications in information retrieval, public safety and other fields. This paper systematically reviews the recent research on the salient object detection models based on deep learning. From the perspective of detection granularity, the research results of applying deep learning into the field of salient object detection are reviewed. First, the salient object detection methods are discussed from three aspects: sparse detection methods, dense detection methods and weakly-supervised learning methods. Then, the mainstream data sets and common performance evaluation indicators used for salient object detection research are briefly introduced, and the performance of various mainstream models on the three most widely used data sets are compared and analyzed. Finally, this paper analyzes the current problems in the field of salient object detection and prospects for possible future research trends.关键词：salient object detection;deep learning;convolutional neural network;visual saliency;weakly supervised learning;computer vision task14|20|15更新时间：2025-12-08
- 摘要：Object detection is one of the most fundamental and important tasks in the field of computer vision, which is the basis of high‑level vision tasks such as behavior recognition and human‑computer interaction. With the development of deep learning technology, the accuracy and efficiency of object detectors have been greatly improved. Compared with traditional object detection algorithms, deep learning utilizes powerful hierarchical feature extraction and learning capabilities to make breakthroughs in the performance of object detectors. Meanwhile, the large‑scale datasets and the tremendous improvement in computing power have also contributed to the vigorous development in this field. In this paper, the existing research of object detectors based on deep learning are reviewed in detail. First, we review the traditional object detection algorithms and its problems. Then, object detectors based on deep learning are introduced, and the region‑based and single‑stage benchmark detectors are summarized. After that, the current mainstream object detectors are concluded from eight perspectives of feature maps, context information, bounding box optimization, regional proposal, category imbalance processing, training strategy, weakly supervised learning and unsupervised learning. Finally, the problems to be solved in the object detectors are proposed and future research directions are prospected.关键词：computer vision;deep learning;object detection;convolutional neural network14|18|20更新时间：2025-12-08
- 摘要：Attribute reduction is an important research direction in rough set. This paper summarizes attribute reduction algorithms based on rough sets from eight aspects, including incomplete decision information tables, incompatible decision information tables, continuous attribute decision information tables, dynamic decision information table, ordered data decision information table, attribute reduction algorithm based on rough extension model, attribute reduction algorithm based on attribute importance degree and attribute reduction algorithm based on intelligent optimization algorithm. Through summarizing eight aspects of attribute reduction algorithms based on rough set, positive significance is shown for further research on attribute reduction algorithm of rough set.关键词：rough set;attribute reduction;incomplete decision;incompatible decision;dynamic decision2|15|16更新时间：2025-12-08
SURVEYS AND REVIEWS
- 摘要：To solve the problem of noise amplification of the physical layer network coding (PNC) by soft‑message‑forward (SMF) in the fifth‑generation cooperative communication, this paper proposes a PNC with selective soft‑message‑forward (SSMF) and a decoding scheme based on threshold decision. According to the principle that the superposition signal with minimum noise after zero forcing detection has the highest reliability, selecting the most reliable signal from the received signal set at the relay node and mapping this signal into log‑likelihood ratio metrics can improve the bit error ratio (BER) performance and reduce the complexity. Simulation results indicate that the proposed SSMF cooperative coding performance is relatively better under quasi‑static Rayleigh fading channel and binary‑phase‑shift keying (BPSK) modulation. At BER of 10-3, the proposed cooperative coding scheme can obtain about 0.7dB, 1.1 dB and 2.3dB gains when compared with those of the denoise‑and‑forward based adaptive diversity scheme, the SMF scheme, and the decode‑and‑forward scheme, respectively.关键词：two‑way relay networks;cooperative coding;selective soft‑message‑forward;multiple input multiple output(MIMO);physical layer network coding;cooperative communication2|22|0更新时间：2025-12-08
CORRESPONDENCE
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