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11th International Symposium on communications and information Technologies, ISCIT 2011

作者： Zheng, Shilian Yang, Xiaoniu Lou, Caiyi Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781457712944

Spectrum sensing is one of the fundamental problems for cognitive radio. In cognitive radio networks, cognitive radios can cooperatively sense the spectrum to detect the presence of primary users with higher sensitivity. This paper proposes distributed consensus algorithms for decision fusion based cooperative spectrum sensing. Both theoretical analysis and simulations are performed to show the convergence property of the algorithms. Results show that the proposed algorithms can realize central OR, AND, and M-out-of-n decision fusion rules by locally exchanging information among each radio and its adjacent neighbors in a distributed way. © 2011 IEEE.

关键词： Cognitive radio

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Research on Covariance Matrix and Freedom Degree of GNSS Anti-jamming Array 6

Research on Covariance Matrix and Freedom Degree of GNSS Ant...

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6th International Conference on Signal and Image Processing, ICSIP 2021

作者： Nan, Pulong Wang, Lijun Pan, Gaofeng Science and Technology On Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9780738133737

The paper focuses on the covariance matrix and freedom degree widely involved in array anti-jamming processing. Based on the eigen decomposition of array covariance matrix of received signals, the correlation properties as well as the relationship between eigenvalue distribution of covariance matrix and consumed freedom degrees of array are researched and analyzed, with GNSS anti-jamming array taken as an example. Simulation experiments are done to explain a number of representative conditions and help summarize several deploying instructions for the platforms carrying anti-jamming arrays, so as to avoid freedom degrees being consumed much and ensure the anti-jamming capabilities. © 2021 IEEE.

关键词： Covariance matrix

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Phased Array Full-Duplex for Concurrent Multifunction: Architecture and Implementation 13

Phased Array Full-Duplex for Concurrent Multifunction: Archi...

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13th International Conference on Microwave and Millimeter Wave technology, ICMMT 2021

作者： Chen, Shunyang Chen, Jiarui Huang, Xiaoguo Chen, Linglu Zhang, Qi Chen, Binhui Zhu, Menglei Science And Technology On Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781665434379

In this article, the realization of concurrent multifunction in phased array full-duplex platforms is discussed. For modern complex electromagnetic environment, an efficient architecture is needed to accomplish the concurrent working of several different functions, such as communication, radar, spectrum sensing and so on. First, we establish a novel architecture based on the phased array system to effectively incorporate current approaches useful for realizing concurrent multifunction. Then, a prototype implementation based on multi-objective beamforming is proposed to demonstrate the role of digital methods in cancelling self-interferenc. Finally, simulation and experimental results are exhibited to prove the result of the proposed method. © 2021 IEEE.

关键词： Architecture

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Joint Delay and Maintenance Optimization for Spectrum Handoff in Cognitive Radio Networks Using Binary Shuffled Frog Leaping Algorithm 19

Joint Delay and Maintenance Optimization for Spectrum Handof...

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19th IEEE International Conference on communication technology, ICCT 2019

作者： Jiang, Jianjun Zheng, Shilian Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781728105352

In cognitive radio networks, when a primary user reoccupies the channel, cognitive radios (CRs) need to vacate the channel and reestablish a link on some other channel to avoid interference to primary users, resulting in spectrum handoff. A joint spectrum handoff delay and link maintenance optimization problem for spectrum handoff is formulated in this paper. A binary shuffled frog leaping algorithm (SFLA) based algorithm is proposed to solve this problem. Simulations show that the proposed algorithm performs far better than random target channel visiting scheme. It can obtain solutions with low handoff delay and low probability of handoff failure which are very close to the optimal solutions. © 2019 IEEE.

关键词： Cognitive radio

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Contrastive Clustering for Unsupervised Recognition of Interference Signals

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Computer Systems science & Engineering 2023年第8期46卷 1385-1400页

作者： Xiangwei Chen Zhijin Zhao Xueyi Ye Shilian Zheng Caiyi Lou Xiaoniu Yang The School of Communication Engineering Hangzhou Dianzi UniversityHangzhou310018China The Science and Technology on Communication Information Security Control Laboratory Jiaxing314001China

Interference signals recognition plays an important role in anti-jamming *** the development of deep learning,many supervised interference signals recognition algorithms based on deep learning have emerged recently and show better performance than traditional recognition ***,there is no unsupervised interference signals recognition algorithm at *** this paper,an unsupervised interference signals recognition method called double phases and double dimensions contrastive clustering(DDCC)is ***,in the first phase,four data augmentation strategies for interference signals are used in data-augmentation-based(DA-based)contrastive *** the second phase,the original dataset’s k-nearest neighbor set(KNNset)is designed in double dimensions contrastive *** addition,a dynamic entropy parameter strategy is *** simulation experiments of 9 types of interference signals show that random cropping is the best one of the four data augmentation strategies;the feature dimensional contrastive learning in the second phase can improve the clustering purity;the dynamic entropy parameter strategy can improve the stability of DDCC *** unsupervised interference signals recognition results of DDCC and five other deep clustering algorithms show that the clustering performance of DDCC is superior to other *** particular,the clustering purity of our method is above 92%,SCAN’s is 81%,and the other three methods’are below 71%when jammingnoise-ratio(JNR)is−5 *** addition,our method is close to the supervised learning algorithm.

关键词： Interference signals recognition unsupervised clustering contrastive learning deep learning k-nearest neighbor

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Implementation of sample rate conversion in direct RF synthesis transmitter

Implementation of sample rate conversion in direct RF synthe...

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2011 Cross Strait Quad-Regional Radio science and Wireless technology Conference, CSQRWC 2011

作者： Zhao, Yun Wang, LiJun Xu, JianLiang Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781424497904

In software defined radio (SDR) transmitter, the baseband data with protocol-specific symbol rate should be up-sampled to the fixed sample rate of synthesized carrier by arbitrary sample rate conversion (ASRC), before up-conversion. During the last few years, along with the rapid development of DAC technology, it is possible to implement direct RF synthesis using digital method. This paper presents implementation structure of a two stage SRC in FPGA, which can be used in Direct RF synthesis transmitter to interpolate the baseband data of variable symbol rate to RF sample rate. © 2011 IEEE.

关键词： Transmitters

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Quantum proof and high-speed privacy amplification for quantum key distribution

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Physical Review Applied 2025年第5期23卷 054004-054004页

作者： Bing-Qi Yan Jun-Bin Wu Fan Fan Bing-Jie Xu Xiao-Ling Zhang Min Gu Key Laboratory of Atomic and Subatomic Structure and Quantum Control (Ministry of Education) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter School of Physics South China Normal University Guangzhou 510006 China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials Guangdong-Hong Kong Joint Laboratory of Quantum Matter South China Normal University Guangzhou 510006 China Quantum Science Center of Guangdong-HongKong-Macao Greater Bay Area (Guangdong) Shenzhen 518000 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu 611731 China National Key Laboratory of Security Communication Institute of Southwestern Communication Chengdu 610041 China

Privacy amplification (PA) is a vital step in the postprocessing stage of quantum key distribution, which can extract a secure key from a source partially leaked to the environment. We propose a PA scheme that uses the square hash (SQH)–modular arithmetic hash (MH) function. In consideration of a potential quantum attacker, we use the trace distance as a metric to measure the closeness between two classical-quantum states. We transform a raw key state to a processed state using this scheme and derive the trace distance between the processed state and the ideal target state. It is proven that the trace distance can be reached as small as desired. Additionally, our approach accelerates the SQH-MH function through the number-theoretic transform, reducing the computational complexity to O(nlog n). On the basis of a CPU, a maximum throughput rate of 1.06 Gbit/s is achieved, and the results show that our algorithm demonstrates good stability of the throughput rate when handling tasks with different compression ratios.

关键词： Number theory

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Wideband spectrum sensing in modulated wideband converter based cognitive radio system

Wideband spectrum sensing in modulated wideband converter ba...

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11th International Symposium on communications and information Technologies, ISCIT 2011

作者： Zheng, Shilian Yang, Xiaoniu Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781457712944

Wideband spectrum sensing is a fundamental problem in cognitive radio networks. In this paper, a wideband spectrum sensing procedure which consists of four steps, i.e., coarse support recovery, fine binary detection, band edges detection and clustering, for modulated wideband converter (MWC) based cognitive radio system at sub-Nyquist rate is proposed. Simulations show that with a sub-Nyquist sampling rate, the proposed spectrum sensing procedure can locate spectrum holes correctly. © 2011 IEEE.

关键词： Cognitive radio

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Specific primary user sensing for wireless security in IEEE 802.22 network

Specific primary user sensing for wireless security in IEEE ...

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11th International Symposium on communications and information Technologies, ISCIT 2011

作者： Luo, Zhenxing Lou, Caiyi Chen, Shichuan Zheng, Shilian Li, Shaowei Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781457712944

Cognitive Radio (CR) is considered as an effective technology for alleviating the spectrum shortage problem by enabling secondary users to utilize vacant spectrum allocated to a primary user (PU). IEEE 802.22 which is the first standard based on CR is developed to increase the efficiency of TV bands. However the physical layer security of IEEE 802.22 has been studied rarely. In this paper, we propose a scheme to sense the specific primary user for dealing with Primary User Emulation (PUE) Attack which is a possible threat to wireless security. According to ATSC digital TV which is one of the important PUs, we estimate the accuracies of pilot and symbol rate as RF fingerprint (RFF), and Support Vector Data Description (SVDD) is introduced to sense the fine differences of RFF to distinguish PUE attacker from PU. The simulation results show that the proposed scheme is feasible to verify the PUE attacker at a relative high SNR level. © 2011 IEEE.

关键词： Cognitive radio

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Modulation Recognition of Underwater Acoustic communication Signals Based on Joint Feature Extraction

Modulation Recognition of Underwater Acoustic Communication ...

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2019 IEEE International Conference on Signal, information and Data Processing, ICSIDP 2019

作者： Ge, Yizhou Zhang, Xin Zhou, Qing Science and Technology on Communication Information Security Control Laboratory Jiaxing314000 China No.36 Research Institute of CETC Jiaxing314000 China School of Marine Science and Technology Northwestern Polytechnical University Xi'an710072 China

ISBN: (纸本)9781728123455

Recently, the research on modulation identification of underwater acoustic (UWA) communication signals has attracted much attention. It is a challenge to identify the modulation of underwater acoustic communication signals in the environment of low signal-to-noise ratio (SNR), multipath interference, frequency and phase drift. In this paper, a joint feature extraction algorithm is proposed which combines the method of cyclic spectrum with high-order cumulant to perform the modulation recognition of UWA communication. In the algorithm, the higher-order cumulant features of the communication signals and their counterparts after the square transformation are used firstly for the intra-class modulation recognition of phase shift keying (PSK) and frequency shift keying (FSK), and the inter-class modulation recognition of PSK. Then the cross-section parameter of spectral correlation function of signals are used for inter-class recognition of FSK modulation. Simulation results show that BPSK, QPSK, 2FSK and 4FSK underwater acoustic communication signals can be identified at rate better than 90% by using the joint modulation recognition algorithm with a signal-to-noise ratio of -2dB. © 2019 IEEE.

关键词： Underwater acoustic communication

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