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Blind source separation algorithm for communication complex signals in communication reconnaissance

Frontiers of Electrical and Electronic Engineering in China 2008年第3期3卷 338-342页

作者： Weihong FU Xiaoniu YANG Nai’an LIU Xingwen ZENG State Key Laboratory of Integrated Service Networks Xidian UniveristyXi’an 710071China National Laboratory of Information Control Technology for Communication System Jiangnan Electronic Communications Research InstituteJiaxing 314033China

Most blind source separation algorithms are only applicable to real signals,while in communication reconnaissance processed signals are *** solve this problem,a blind source separation algorithm for communication complex signals is deduced,which is obtained by adopting the Kullback-Leibler divergence to measure the signals’*** the other hand,the performance of natural gradient is better than that of stochastic gradient,thus the natural gradient of the cost function is used to optimize the *** to the conclusion that the signal’s mixing matrix after whitening is orthogonal,we deduce the iterative algorithm by constraining the separating matrix to an orthogonal *** results show that this algorithm can efficiently separate the source signals even in noise circumstances.

关键词： communication reconnaissance blind source separation complex signal

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A method for blind identification of uplink virtual MIMO signal

A method for blind identification of uplink virtual MIMO sig...

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3rd International Conference on Innovative Computing information and control, ICICIC'08

作者： Chen, Qinghua Xie, Xianzhong Zheng, Yi Institute of Personal Communication MII Key Lab of Mobile Communication Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China National Defense Key Lab of Telecommunication System Information and Control Technology Jiaxing 314033 China

ISBN: (纸本)9780769531618

This paper discusses system models of three types of signal in wireless communication, i.e. single user single antenna signal, virtual MIMO signal and single user MIMO signal. Based on the model, proposes a method for blind identification of uplink virtual MIMO signal by using the MUSIC algorithm to blindly estimate DOAs of the received signal. Simulation results show the feasibility of this method. This approach has important value in both theory and application for noncooperation communication environment. © 2008 IEEE.

关键词： Antennas

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Towards Yo-Yo attack mitigation in cloud auto-scaling mechanism

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Digital communications and Networks 2020年第3期6卷 369-376页

作者： Xiaoqiong Xu Jin Li Hongfang Yu Long Luo Xuetao Wei Gang Sun Key Lab of Optical Fiber Sensing and Communications(Ministry of Education) University of Electronic Science and Technology of ChinaChengdu611731China National Key Laboratory of Science and Technology on Information System Security Beijing100101China Center for Cyber Security University of Electronic Science and Technology of ChinaChengdu611731China University of Cincinnati CincinnatiOH45220USA

Cloud platforms could automatically scale underlying network resources up and down in response to changes in the traffic *** an auto-scaling mechanism can largely enhance the elasticity and scalability of cloud ***,it may introduce new security *** example,the Yo-Yo attack is a newly disclosed attack against the cloud auto-scaling *** periodically send bursts of traffic to cause the autoscaling mechanism to oscillate between the scale-up process and the scale-down process,which may result in significant performance degradation and economic *** of the prior work addressed the problem of mitigating such an *** this paper,we propose a Trust-based Adversarial Scanner Delaying(TASD)approach to effectively and proactively mitigate the Yo-Yo attack on the cloud auto-scaling *** TASD,we first propose to use the trust-based scheme to establish trust values for users,which is leveraged to identify adversarial *** values are updated by jointly considering the request mode and the auto-scaling ***,we aim to disable the condition under which the Yo-Yo attack takes effect by injecting certain delay,under the QoS constraints,to manipulate the response time of suspicious requests and deceive the *** extensive evaluation demonstrates that our approach achieves promising results,e.g.,it can detect at least 80%Yo-Yo adversarial users and reduce more than 41%malicious scale-ups.

关键词： Cloud computing Auto-scaling mechanism Yo-yo attack Attack detection Attack defense

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Chaos characteristics analysis of transient signals for phase-locked synthesizer based FHC system 14

Chaos characteristics analysis of transient signals for phas...

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14th International Symposium on communications and information Technologies, ISCIT 2014

作者： Ping, Li Guohong, Wang Yan, Xiaopeng Peng, Gong Shi, Wenbo Chunyun, Song Beijing Institute of Technology National Key Lab. of Mechatronic Engineering and Control Beijing100081 China Northeastern University School of Computer and Communication Engineering Qinhuangdao China National Lab. of Information Control Technology for Communication System Jiaxing Zhejiang314033 China

ISBN: (纸本)9781479944163

Frequency synthesizer plays an important role in frequency hopping communication system. In this paper, we derivate the conditions for a system to become the chaotic based on the phase model of phase-locked synthesizer. We found that the system parameter changing during the frequency switching is able to make the system to be chaotic. Based on the Cao's method [5], we find that the fractal dimension of the transient signals should be equal to or less than 4, which also provides the maximal positive Lyapunov exponent. In addition, the unique double-ring attractor of them is also reproduced through the phase reconstruction, which also implies that the frequency switching will result in a chaotic for Frequency-Hopping Communication system. © 2014 IEEE.

关键词： Fractal dimension

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A technique for blind identification of uplink signals in multibeam smart antenna

A technique for blind identification of uplink signals in mu...

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4th Advanced International Conference on Telecommunications, AICT 2008

作者： Chen, Qinghua Xie, Xianzhong Institute of Personal Communication MII Key Lab of Mobile Communication Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China National Defense Key Laboratory of Telecommunication System Information and Control Technology Jiaxing 314033 China

ISBN: (纸本)9780769531625

In this paper, we construct signal modelings of four types of signals in wireless communication, i.e. single user single antenna signal, virtual MIMO signal, multibeam smart antenna signal and single user MIMO signal first , based on the model, propose a technique for blind identification of uplink signals in multibeam smart antenna by combining MUSIC algorithm with Forward-backward Spatial Smoothing algorithm to blindly estimate DOAs of these four types of signals, when the source signal is one of the four types. Simulation results show the feasibility of this technique. This paper has important value in both theory and application, especially in noncooperation communication environment. © 2008 IEEE.

关键词： Multiple signal classification

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Step-size optimization EASI algorithm for blind source separation

Step-size optimization EASI algorithm for blind source separ...

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2007 International Conference on Computational Intelligence and Security, CIS'07

作者： Weihong, Fu Xiaoniu, Yang Naian, Liu State Key Lab. of Integrated Service Networks Xidian University Xi'an 710071 China National Laboratory of Information Control Technology for Communication System Jiaxing Zhejiang 31403 China

ISBN: (纸本)0769530729

Aiming at the problem of blind source separation of the communication signals, we propose a step size optimization equivariant adaptive source separation via independence (SO-EASI) algorithm basing on the EASI block based algorithm. This algorithm adjusts the step-size by the steepest descent method and thereby greatly increases its convergence speed whatever value the step-size is initialized. Simulation results show that SO-EASI algorithm can effectively blindly separate the communication signals and these results also support the expected improvement in convergence speed of the approach. © 2007 IEEE.

关键词： Blind source separation

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A method for blind identification of single user MIMO signal in step by step

A method for blind identification of single user MIMO signal...

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4th International Conference on Wireless and Mobile communications, ICWMC 2008

作者： Chen, Qinghua Xie, Xianzhong Institute of Personal Communication MII Key Lab. of Mobile Communication Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China National Defense Key Laboratory of Telecommunication System Information and Control Technology Jiaxing 314033 China

ISBN: (纸本)9780769532745

This paper constructed signal models of four types of signal in wireless communication, i.e. single user MIMO signal, single user single antenna signal, virtual MIMO signal and multibeam smart antenna signal first, and then proposed a method for blind identification of single user MIMO signal in step by step in noncooperation communication, when the unknown source was one of the four types by using MUSIC algorithm and Forward-backward Spatial Smoothing algorithm to blindly estimate DOAs of the received signal in the first two steps, and use blind channel estimation in the third step. Simulation results show the feasibility of this method. There has not been any published literature reporting research results about this topic yet, so the results of this paper is of important value in both theory and application. © 2008 IEEE.

关键词： Multiple signal classification

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A Green Paradigm for Internet of Things: Ambient Backscatter communications

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China communications 2019年第7期16卷 109-119页

作者： Wei Zhang Yao Qin Wenjing Zhao Minzheng Jia Qiang Liu Ruisi He Bo Ai Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology and also with Institute of Telecommunication Satellites China Academy of Space Technology (CAST) Beijing Key Lab of Transportation Data Analysis and Mining Beijing Engineering Research Center of High-Speed Railway Broadband Mobile Communications School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China Department of Information Engineering Beijing Polytechnic College Beijing 100042 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China

Internet of Things (IoT) has attracted extensive interest from both academia and industries, and is recognized as an ultimate infrastructure to connect everything at anytime and anywhere. The implementation of IoT generally faces the challenges from energy constraint and implementation cost. In this paper, we will introduce a new green communication paradigm, the ambient backscatter (AmBC), that could utilize the environmental wireless signals for both powering a tiny-cost device and backscattering the information symbols. Specifically, we will present the basic principles of AmBC, analyze its features and advantages, suggest its open problems, and predict its potential applications for our future IoT.

关键词： ambient backscatter (AmBC) RF-powered device Internet of Things (IoT) battery-free tag wire-less sensor

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Hexagonally ordered microbowl arrays decorated with ultrathin CuInS_(2) nanosheets for enhanced photoelectrochemical performance

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Journal of Energy Chemistry 2020年第12期29卷 134-142页

作者： Ming Li Le Chen Yanjie Su Huan Yin Kexiang Hu State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China School of Electronic Engineering and Automation Guilin University of Electronic TechnologyKey Laboratory of Optoelectronic Information Processing of Guangxi Colleges and Uniy/ersitiesGuilin 541004GuangxiChina Key Laboratory for Thin Film and Microfabrication of the Ministry of Education Department of Micro/Nano ElectronicsSchool of ElectronicsInformation and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China National and Local Joint Engineering Laboratory of Internet Technology on Mine School of Information and Control EngineeringChina University of Mining and TechnologyXuzhou 221008JiangsuChina School of Physics and Telecommunication Engineering Guangxi Colleges and Universities Key Lab of Complex System Optimization and Big Data ProcessingYulin Normal UniversityYulin 537400GuangxiChina

This paper demonstrates the design and fabrication of three-dimensional(3 D) hexagonally ordered microbowl arrays(MBAs) decorated with Cu In S2 nanosheets for enhanced photoelectrochemical(PEC) performance. The 3 D MBAs are fabricated by a micro-fabrication technique. The ultrathin CuInS2 nanosheets are grown on the 3 D electrodes by solvothermal transformation of Cu film. The photocurrent density of 3 D photocathode(CuInS2@MBAs) is about two times higher than that of the planar counterpart(CuInS2@Planar). The improved PEC performance can be ascribed to the elevated light trapping ability and the increased surface area for loading photocatalysts. In addition, CdS quantum dots as cocatalysts are modified onto the Cu In S2 nanosheets to further enhance the PEC activity because the formed p-n heterojunction can accelerate the separation of photogenerated carriers. As a result, the 3 D photocathode of CuInS2/CdS@MBAs shows an optimal incident photon to current efficiency of 10% at the wavelength of400 nm. It is believed that this work can be generalized to design other hierarchical 3 D photoelectrodes for improved solar water splitting.

关键词： Microbowl array CuInS_(2) Nanosheet Photocathode Photoelectrochemical performance

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Research on stochastic comb-pilot design for NC-OFDM system

Research on stochastic comb-pilot design for NC-OFDM system

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2008 International Conference on Wireless communications, Networking and Mobile Computing, WiCOM 2008

作者： Xuetao, Dong Xianzhong, Xie Institute of Personal Communication MII Key Lab on Mobile Communication CQUPT Chongqing 400065 China National Defense Key Laboratory of Telecommunication System Information and Control Technology NO.36 Institute of CETC Jiaxing 314033 China

ISBN: (纸本)9781424421084

NC-OFDM is OFDM-based spectrum pooling technique and also a transmission mode of cognitive radio. The paper models and analyzes NC-OFDM stochastic process, then designs stochastic comb-pilot pattern and analyzes its characteristics in detail. At the end of the paper simulation results prove the feasibilities of the stochastic comb-pilot strategies in NC-OFDM system. © 2008 IEEE.

关键词： Orthogonal frequency division multiplexing

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