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2015 2nd International Workshop on Materials Engineering and Computer sciences(IWMECS 2015)

作者： Chuandang Liu Luxi Lu National Key Laboratory of Science and Technology on Blind Signal Processing

Overlapping signal separation in spectrum is a difficult problemWe use Gamma Mixture Model to formulate the distribution of signal power in each frequency bin of digital phosphor technology(DPX) spectrumThen Expectation Maximization(EM) Algorithm is used to solve the modelSimulation results show that when CIR is greater than 2.7d B, parameters' estimation error rate of this algorithm is less than 1e-5.

关键词： Gamma Mixture Model EM Algorithm DPX

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Direct Location for Multiple Passive Radars without and with Reference

Direct Location for Multiple Passive Radars without and with...

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2018 3rd International Conference on Communication,Image and signal processing（CCISP 2018）

作者： K.K.Song Y.X.Yang H.F.Peng National Key Laboratory of Science and Technology on Blind Signal Processing

The problem of stationary target location by multiple passive radar sensors that using unknown and non-cooperative opportunity illuminator is considered. Traditional twostep approach which estimating the time difference of arrival(TDOA) and angle of arrival(AOA) firstly and locating using those parameters secondly. We explore the direct location with multiple passive radar sensors without estimating the intermediate parameters. As the reference path from the transmitter to receivers may be blocked in practice, we discuss the both cases that location without and with reference path. Two maximum likelihood algorithms of direct location are proposed for multiple passive radar sensors without and with reference. Monte Carlo simulations indicate that the direct location algorithm is superior to two-step approach with TDOA and AOA at low SNR for multiple passive radar sensors.

关键词： AOA Direct Location for Multiple Passive Radars without and with Reference

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ASTF: Visual Abstractions of Time-Varying Patterns in Radio signals

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IEEE Transactions on Visualization and Computer Graphics 2023年第1期29卷 214-224页

作者： Zhao, Ying Ge, Luhao Xie, Huixuan Bai, Genghuai Zhang, Zhao Wei, Qiang Lin, Yun Liu, Yuchao Zhou, Fangfang School of Computer Science and Engineering Central South University Changsha China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China College of Information and Communication Engineering Harbin Engineering University Harbin China China Research Institute of Radiowave Propagation Qingdao China

A time-frequency diagram is a commonly used visualization for observing the time-frequency distribution of radio signals and analyzing their time-varying patterns of communication states in radio monitoring and management. While it excels when performing short-term signal analyses, it becomes inadaptable for long-term signal analyses because it cannot adequately depict signal time-varying patterns in a large time span on a space-limited screen. This research thus presents an abstract signal time-frequency (ASTF) diagram to address this problem. In the diagram design, a visual abstraction method is proposed to visually encode signal communication state changes in time slices. A time segmentation algorithm is proposed to divide a large time span into time slices. Three new quantified metrics and a loss function are defined to ensure the preservation of important time-varying information in the time segmentation. An algorithm performance experiment and a user study are conducted to evaluate the effectiveness of the diagram for long-term signal analyses. © 2022 IEEE.

关键词： Data visualization

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MIMO-FSK non-coherent detection with spatial multiplexing in fast-fading environment

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The Journal of China Universities of Posts and Telecommunications 2020年第5期27卷 47-54页

作者： Zheng Lin Wang Zhen Chen Jianmei Lin Mengying Deng Xiaofang Guangxi Key Lalxiralory of Wireless Wideband Communications and Signal Processing Guilin University of Electronic TechnologyGuilin 541004China Science and Technology on Communication Networks Laboratory Shijiazhuang 050081China

Accurate estimationand real-time compensation for phase offset and Doppler shift are essential for coherent multi-input multi-output(MIMO)***,a spatial multiplexing MIMO scheme with non-coherent frequency-shift keying(FSK)detection is *** is immune to random phase interference and Doppler shift while increasing *** is valuable that the proposed spatial multiplexing MIMO based on energy detection(ED)is equivalent to a linear system,and there is no mutual interference caused by the product of simultaneous signals in square-law *** equivalent MIMO channel model is derived as a real matrix,which remains maximal multiplexing capacity and reduces the channel estimation *** results show that the proposed scheme has outstanding performance over Rician flat fading channel,and experimental system obtains four times the capacity through 4 antennas on both transmitter and receiver.

关键词： non-coherent MIMO MIMO-FSK spatial multiplexing experimental system

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The Phase Compensation Methods of Distributed Radar Systems

The Phase Compensation Methods of Distributed Radar Systems

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2015 International Conference on Computer Information Systems and Industrial Applications(CISIA2015)

作者： M.Ding T.Sun National Key Laboratory of Science and Technology on Blind Signal Processing

ISBN: (纸本)9781510805750

The distributed radar system is a solution to detect small targets in the *** how to effectively accumulate the received signals from different radar stations is a challenging *** signals influenced by different time-delay,Doppler frequency and reflection coefficient will have different phases before *** this thesis,we study the phase compensation methods to eliminate the effects caused by these factors.

关键词： distributed radar system phase compensation timedelay Doppler frequency reflection coefficient

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Direct Position Determination by Double Fixed Station Based on Delay and AOA

Direct Position Determination by Double Fixed Station Based ...

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2017 2nd International Conference on Control, Automation and Artificial Intelligence(CAAI2017)

作者： Xiangyu Liu Qing He Zhengbo Sun National Key Laboratory of Science and Technology on Blind Signal Processing

ISBN: (纸本)9781510845541

To improve location accuracy, a single-step localization algorithm by double fixed station, using the thought of "signal to position" is proposed to solve the problem of two-step conventional method's information loss, since two-step conventional method divides in estimating intermediate parameter and geolocation. First, the observed signal model is analyzed and problem's mathematical model is generalized. Next, the cost function is formulated based on maximum likelihood estimator(MLE) and simplified as the maximal eigenvalue of hermite matrix. Then, the geographical location maps in twodimensional sector-grid based on angel of arrival(AOA), afterward, the algorithm process is introduced. Finally, simulation results demonstrated that the proposed DPD algorithm outperforms the two-step conventional algorithm in location accuracy, and when signal to noise ratio(SNR) of the same observed signals is-5 dB, the root mean squared error(RMSE) of proposed algorithm reduce the errors of 47% in typical scene.

关键词： passive localization direct position determination(DPD) maximum likelihood estimator(MLE) passive localization time delay angel of arrival(AOA)

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The Application of HBF in Small Aperture OTHR

The Application of HBF in Small Aperture OTHR

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International Congress on Image and signal processing

作者： Yu Jia Qing He Lai Yuan Luo National Key Laboratory of Science and Technology on Blind Signal Processing

ISBN: (纸本)9781467390996

Due to the decrease of azimuth resolution and array gain, the performance of small aperture over the horizon radar (OTHR) is not as good as the conventional OTHR. Therefore, it is necessary to find a new method to improve array performance of small aperture OTHR to satisfy the requirements of target detection. In this paper, conclusions on the performance losses are obtained by deducing the expression of signal to clutter ratio (SCR) under small aperture OTHR receiving condition. Based on the conclusions, Hyper Beam, which is derived from sonar array processing, are applied to improve the performance of small aperture OTHR. Eventually, experimental simulations are given to verify our conclusions.

关键词： HBF Small aperture OTHR UCA SCR UCA Thyristors Fetal Hemoglobin apertures azimuth resolution Object detection

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Specific Emitter Identification based on linear polynomial fitting of the energy envelope

Specific Emitter Identification based on linear polynomial f...

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International Conference on Electronics Information and Emergency Communication

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

ISBN: (纸本)9781509019984

Specific Emitter Identification (SEI) is the technique that identifies the individual radio emitter using the Radio Frequency Fingerprint (RFF), which are originated from the imperfections and differences of transmitters. Previous SEI techniques are sensitive to noise and need enough sampled points. In this paper, a novel SEI approach to extracting fingerprint features of energy envelope of transient signals is proposed. A linear system model is utilized to fit the energy envelope, and the fingerprinting features are constructed by the polynomial coefficients estimated with least-squares algorithm. The results of experiments on actual burst signals demonstrate that the method is effective.

关键词： Feature extraction Transient analysis Fingerprint recognition Linear systems Radio transmitters Transforms Wireless communication

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Freshet Method for Wideband Spectrum Sensing

Freshet Method for Wideband Spectrum Sensing

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2016 International Conference on Computer Engineering,Information science and Internet technology(CII 2016)

作者： CHUANDANG LIU LUXI LU JIAN CHENG National Key Laboratory of Science and Technology on Blind Signal Processing

This paper presents a new method for automatic wireless spectrum segmentation. Spectrum segmentation is regarded as the first step to extract signals of interest in wideband spectrum, and it aims to identify the boundaries between sub-band signals. The proposed Freshet Method, based on the Power Spectral Density(PSD) quantization and Connected Components(CC) detection, is designed for a better spectrum segmentation performance. This method is validated on satellite signals, and the testing result shows a better accuracy of the sub-band boundary estimation than the other published methods.

关键词： PSD Matrix Freshet Method for Wideband Spectrum Sensing

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Low Altitude, Slow Speed and Small Size Object Detection Improvement in Noise Conditions Based on Mixed Training

Low Altitude, Slow Speed and Small Size Object Detection Imp...

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2018 3rd International Conference on Communication,Image and signal processing（CCISP 2018）

作者： J.F.Que H.F.Peng J.Y.Xiong National Key Laboratory of Science and Technology on Blind Signal Processing

The low altitude, slow speed and small size object which we call LSS-object for short, such as small UAV(unmanned aerial vehicles) have become a hot issue of air defense security, which is difficult to detect and identify accurately from the image. In this paper, aiming at the problem of LSS-object detection under noise environment, the detection method based on deep learning is proposed. Firstly, a standard training dataset consisting 5 classes of typical objects is constructed. Then, the standard dataset is augmented with noise of different intensity. Finally, YOLO v3 algorithm is used to form a LSS-object detection system which can adapt to environment noise. The training and detection experiments were carried out on the GPU server. After only using the noise-free dataset for training, the mAP(mean Average Precision) of the noise-free test set detection reached 81.07%, but the mAP decreased to 20.68% when the noise variance was *** adopting the mixed training strategy of the dataset with noise variance of 0.01 and noise-free data, the mAP for the test set detection with noise variance of 0.03 was increased to 70.61%, and the mAP still reached 79.85% in noise-free test set detection. The experiment results show that the mixed training strategy can greatly improve the accuracy in the noisy images detection while maintaining a higher accuracy in noise-free images.

关键词： image LSS Low Altitude Slow Speed and Small Size Object Detection Improvement in Noise Conditions Based on Mixed Training Object

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