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A wideband spectrum sensing based on ESPRIT algorithm

A wideband spectrum sensing based on ESPRIT algorithm

引用

2017 International Conference on Computer technology, Electronics and Communication, ICCTEC 2017

作者： Shen, Yanni Wan, Qun Xia, Changxiong Wan, Yihe School of Electronic Engineering University of Electronic Science and Technology of China Chengdu China Key Lab of Blind Signal Processing 393 mailbox Chengdu China Jiangxi Province Engineering Research Center Special Wireless Communications Tongfang Electronic Technology Co. Ltd Jiujiang China

ISBN: (纸本)9781538657843

Spectrum sensing is a prerequisite for cognitive dio. This paper proposes a wideband spectrum sensing method based on ESPRIT algorithm for detecting active channels. In this method, it detects the occupied channels directly according to the relationship between the Fourier transform (FT) of the multicoset sampler's output sequences and the active channels, which can save a lot of sampling rate and reduce the computational complexity. And the performance of this method is evaluated by calculating the detection probabilities for different numbers of samples and different signals to noise ratios (SNRs). The simulation results show that the proposed method performs well in low SNR and less data samples. © 2017 IEEE.

关键词： signal to noise ratio

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A Novel Clustering Method Based on Density Peaks and Its Validation by Channel Measurement

A Novel Clustering Method Based on Density Peaks and Its Val...

引用

European Conference on Antennas and Propagation

作者： Hanqing Xue Lei Tian Yuxiang Zhang Chao Wang Jianhua Zhang Wei Li Hewen Wei Key Lab of Universal Wireless Communications Ministry of Education State Key Lab of Networking and Switching Technology Beijing University of Posts and Telecommunications P. O. Box 92 Beijing 100876 China Department of Electrical Engineering Northern Illinois University DeKalb IL 60115 National key laboratory of science and technology on blind signal processing Chengdu Sichuan 610041 China

ISBN: (纸本)9781785618154;9781785618161

In this paper, cluster centers are defined as local maxima in the density which is called density peaks. We use an algorithm based on density peaks to cluster multipath components (MPCs) whose parameters are estimated by the space-alternating generalized expectation-maximization (SAGE) algorithm. To validate its performance, we apply it to the data from a channel measurement in an indoor scenario at 28 GHz and compare it to the widely used KPowerMeans algorithm with the same distance metric of multiple component distance (MCD). Through the results, we find it can cluster MPCs more accurately validated by Calinski-Harabasz (CH) and Davies-Bouldin (DB) indices. More importantly, it overcomes the shortcoming of setting the number of clusters manually because we can determine the cluster centers automatically. Besides, the efficiency of DP clustering is far superior to KPowerMeans because what it needs is only a distance matrix and we only need to compute it once. At the end, statistical analysis of clusters are presented to provide insights in channel modeling of millimeter wave.

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Performance evaluation of anomaly-detection algorithm for keystroke-typing based insider detection 17

Performance evaluation of anomaly-detection algorithm for ke...

引用

50th ACM Turing Conference - China, ACM TUR-C 2017

作者： He, Liang Li, Zhixiang Shen, Chao National Key Laboratory of Science and Technology on Blind Signal Processing P. O. Box 666 Chengdu Sichuan610041 China MOE KLINNS Lab Xi'an Jiaotong University P. O. Box 1088 Xi'an Shaanxi710049 China

ISBN: (纸本)9781450348737

Keystroke dynamics is the process to identify or authenticate individuals based on the typing rhythm behaviors. There are many classifications proposed to check the user's legitimacy, and therefore we should make it clear how they perform in order to confirm promising research direction. Nevertheless, these researches provide experiments in different situations such as datasets, conditions and methodologies as well. This paper aims to benchmark the algorithms in the same dataset and feature in order to measure the performance on an equal level. Using dataset containing 51 subjects' typing rhythm, we implemented and evaluated 13 classifiers measured by F1-measure. We also develop a way to process the typing data, and test it on these algorithms. Considering the case that the model should reject outlander, we test the algorithms on open set. The top-performing classifier achieves F1-measure rates 0.92 when using 50 subjects' typing normalized data to train and the remaining one to test. The results, along with the normalization methodology, constitute a benchmark for comparing classifiers and measuring performance of keystroke dynamics for insider detection. © 2017 ACM.

关键词： Classification (of information)

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A method of fast extract signal subspace based on the householder transformation

A method of fast extract signal subspace based on the househ...

引用

2017 International Conference on Computer technology, Electronics and Communication, ICCTEC 2017

作者： Chang, Yu Wan, Qun Xia, Changxiong Wan, Yihe School of Electronic Engineering University of Electronic Science and Technology of China Chengdu China Key Lab of Blind Signal Processing 393 mailbox Chengdu China Jiangxi Province Engineering Research Center Special Wireless Communication Tongfang Electronic Techology Co. Ltd Jiujiang China

ISBN: (纸本)9781538657843

The technologies of array signal processing based on subspace decomposition can break the Rayleigh limit, and have great performance and angular resolution. However, in order to obtain signal subspace, traditional methods need to apply singular value decomposition on the signal covariance matrix. Because of the large amount of calculation of singular value decomposition, it is difficult to satisfy the requirements in real-time. Given that the signal covariance matrix is conjugate-symmetric, this paper proposes a new method that can fast compute signal subspace depending on repeatedly applying householder transformation to reduce the covariance matrix order based on the power method, and it has fewer iterations and less amount of calculation. © 2017 IEEE.

关键词： Covariance matrix

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Three-dimensional Reconstruction Technique Based on Scattering Point Extraction

Three-dimensional Reconstruction Technique Based on Scatteri...

引用

2017 9th International Conference on Modelling, Identification and Control (ICMIC 2017)

作者： Bo Cheng Huafeng Peng Long Li Jidong Qin the National Key Laboratory of Science and Technology on Blind Signal Processing the National Digital Switching Engineering & Technological R&D Center

The purpose of this paper is to find a more effective way to reconstruct the structure of a *** this paper,the principle of ISAR and In ISAR signal formation and imaging are analyzed by the perspective of analyzing the target linear frequency modulation echo signal and combining with ISAR imaging *** proposed a method of In ISAR scattering point extraction technology based on CLEAN algorithm and threshold *** compare it to the method of image matching *** simulation results show that the In ISAR reconstruction technique based on scattering point extraction method is a more effective one,with higher detection probability and has an ability to suppress the influence of noise and sidelobe effect,under the condition of noise.

关键词： Inverse synthetic aperture radar(ISAR) Interference ISAR Scattering point In ISAR imaging

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Comparative Channel Study of Ray Tracing and Measurement for an Indoor Scenario at 28 GHz

Comparative Channel Study of Ray Tracing and Measurement for...

引用

European Conference on Antennas and Propagation

作者： Jinnan Zhan Jianhua Zhang Lei Tian Xinzhuang Zhang Pan Tang Jianwu Dou Hewen Wei Key Lab of Universal Wireless Communications Ministry of Education State Key Lab of Networking and Switching Technology Beijing University of Posts and Telecommunications Mailbox NO.92 100876 Beijing China Wireless Algorithm Department Product R&D system ZTE Corp. Ltd. 201210 Shanghai China National Key Laboratory of Science and Technology on Blind Signal Processing 610041 Chengdu Sichuan China

The millimeter wave communication is important for future wireless systems. In this paper, the channel characteristics at 28 GHz in an indoor scenario are researched based on ray tracing (RT) simulation and measurement. In the RT simulation, various configurations, such as different number of reflections, diffractions and penetrations are used. As for the measurement, two setups are implemented in order to analyze more parameters. Setup one is that biconical antennas are used at both the transmitter (TX) and receiver (RX). The other setup is that horn antenna at RX is rotated 360° in azimuth with a step of 5° when an omni-directional antenna located at TX. Meanwhile, antenna is rotated one circle with an elevation angle of 10°, 0° and -10°, respectively. Path loss and K-factor are analyzed firstly, and analysis results indicate the RT result with 1 or 2 reflections, 1 diffractions and 5 penetrations in this conference room is closest to the measurement result and channel models in 3GPP TR 38.901. Then, the root mean square (RMS) delay spread and RMS angular spread are investigated, which shows the value of measurement is a bit larger than RT because of the limitation of azimuth and elevation step. According to all the results, 1-2 reflections, 1 diffraction and 5 penetrations can be used in RT for future analysis of indoor scenario at 28 GHz.

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Specific Emitter Identification based on the Energy Envelope of Transient signal

Specific Emitter Identification based on the Energy Envelope...

引用

2016 6th International Conference on Machinery,Materials,Environment,Biotechnology and Computer(MMEBC 2016)

作者： Fei Zhuo Yuanling Huang Jian Chen Science and Technology on Blind Signal Processing Laboratory

Specific Emitter Identification（SEI） is the method to identify the individual radio emitter using the transmitted signals’ characteristic called Radio Frequency Fingerprint（RFF）, which are originated from transmitter imperfectionsA novel SEI approach to extract transient fingerprint features of energy envelope of transient signals is proposed in this paperThe origin of energy envelop is explored, and a nonlinear system model is utilized to explain how the features of energy envelope produceAn iterative least squares identification algorithm is proposed to extract the parameters of model, which can be constructed the fingerprint featuresExperimental results demonstrate that the method is effective, and the method can be applicable any signal of TDMA system.

关键词： specific emitter identification radio frequency fingerprint energy envelope iterative least squares

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Normal-Mode Based MUSIC for Bearing Estimation in Shallow Water Using Acoustic Vector Sensors

Normal-Mode Based MUSIC for Bearing Estimation in Shallow Wa...

引用

2016 International Conference on Mechatronics Engineering and Information technology(ICMEIT 2016)

作者： Weiwei Ai Jinyu Xiong Xiaoyong Zhang Science and Technology on Blind Signal Processing Laboratory

ISBN: (纸本)9781510829039

To realize unbiased bearing estimates of multiple acoustic sources in a range-independent shallow water, Normal-Mode based MUSIC(NM-MUSIC) method using acoustic vector sensor(AVS) array is proposed in this paper. Comparing to NM-MUSIC method based on scalar array, the method based on AVS array solves the problem of port and starboard ambiguity, and also breaks through the limitation of half wavelength. Meanwhile, the method realizes unbiased bearing estimates, while most of the conventional Direction of Arrival(DOA) methods result in biased bearing estimates in shallow water. Simulation results show that the performance of the new method proposed is better than that of the original method.

关键词： Acoustic vector sensor array Normal-Mode based MUSIC Shallow ocean Unbiased bearing estimates

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A Wideband Spectrum Sensing Based on ESPRIT Algorithm

A Wideband Spectrum Sensing Based on ESPRIT Algorithm

引用

International Conference on Computer technology, Electronics and Communication (ICCTEC)

作者： Yanni Shen Qun Wan Changxiong Xia Yihe Wan School of Electronic Engineering University of Electronic Science and Technology of China Chengdu China Key Lab of Blind Signal Processing Chengdu China Jiangxi Province Engineering Research Center Special Wireless Communications Tongfang Electronic Technology Co. Ltd Jiujiang China

ISBN: (纸本)9781538657850

关键词： Sensors Wideband signal to noise ratio Channel estimation signal processing algorithms Wireless communication

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Browser Identification Based on Encrypted Traffic

Browser Identification Based on Encrypted Traffic

引用

2016 International Conference on Communications, Information Management and Network Security (CIMNS2016)

作者： Changjiang Liu Jiesi Han Qiang Wei National Key Laboratory of Science and Technology on Blind Signal Processing

ISBN: (纸本)9781510830981

Network traffic encryption brings security to network communication, however it also brings challenges to network monitoring. As more and more major websites use encryption protocol to protect imformation of visitors, it is a burning issue to identify client when session is encrypted. In this paper, we present browser identification of HTTPS client based on packet length. The sequence of request packet length is different among browsers and our experiment shows that it is possible to recognize what kind of browser the traffic comes from according to length sequence. We theoretically analyze the possibility of using the request packet length to identify browsers and show the method of using length sequence to establish dictionary. The dictionaries are used to distinguish unknown traffic flow. Our experiment results show that we can get accurate results of browser identification in HTTPS communication through packet length analysis.

关键词： HTTPS accecss traffic packet length browser identificaion

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