基于周期WHT循环滤波的交叠类似LFMCW信号检测与分离

doi:10.7527/S1000-6893.2013.0352

Abstract

Abstract:

For weak signal detection and separation of overlapped quasi-LFMCW signals with non-cooperative mode, a new algorithm based on periodic WHT recurrent filter is proposed by using LFMCW signal as an example. Then extend the use of the proposed algorithm to quasi-LFMCW signals with the relationship and difference between them. The proposed algorithm can realize the separation of overlapped quasi-LFMCW signals at low signal-to-noise ratio (SNR), also the separated signals can effectively suppress noise. Aimed at solving the core problem of the high energy signal's strong remainder and the weak energy signal's energy loss after the high energy signal's separation, a narrow frequency excision filter based on cell average is designed, which could not only sufficiently filter the high energy signal, but also keep the weak signal as completely as possible. Simulation results indicate that when false alarm probability is set to 0.01 and SNR is greater than -16 dB, the probability of detection reaches above 0.9. With respect to WHT and FrFT under the same condition, the detection performance is improved by 7 dB and 6 dB respectively. In addition, for overlapped quasi-LFMCW signals, when the weakest signal's SNR is greater than -7 dB, the correlation coefficients between separated and original signal component both exceed 0. 9.

Key words: periodic WHT, LFMCW, recurrent filter, signal separation, overlapped signal, feature extraction

CLC Number:

ZHANG Limin, ZHONG Zhaogen, WANG Zezhong, WANG Jianxiong. Detection and Separation of Overlapped Quasi-LFMCW Signals Based on Periodic WHT Recurrent Filter[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(11): 2580-2589.

References

[1] Phillip E.Pace.Detecting and classifying low probability of intercept radar.Second Edition.Norwood,MA: Artech House,2009: 2-17,448-458.

[2] Gonzalez-Partida J T,Almorox-Gonzalez P,Burgos-Garcia M,et al.Through-the-wall surveillance with millimeter wave LFMCW radars.IEEE Transactions on Geoscience and Remote Sensing,2009,47(6): 1796-1805.

[3] Tao R,Li Y L,Wang Y.Short time fractional Fourier transform and its applications.IEEE Transactions on Signal Processing,2010,58(5): 2568-2580.

[4] Cowell D M J,Freear S.Separation of overlapping linear frequency modulated (LFM) signals using the fractional Fourier transform.IEEE Transactions on Ultrasonics,Ferroelectrics and Frequency Control,2010,57(10): 2324-2333.

[5] Elgamel S A,Soraghan J.Enhanced monopulse tracking radar using optimum fractional Fourier transform.IET Radar,Sonar&Navigation,2011,5(1): 74-82.

[6] Gulum T O,Erdogan A Y,Yildirim T,et al.Parameter extraction of FMCW modulated radar signals using Wigner-Hough transform.2011 IEEE 12th International Symposium on CINTI,2011: 465-468.

[7] Liu F,Xu H F,Sun D P,et al.Feature extraction of symmetrical triangular LFMCW signal using Wigner-Hough transform.Journal of Beijing Institute of Technology,2009,18(4): 478-483.

[8] Xu H F.Interception and recognition of a kind of LPI radar signals based on FrFT.Yan Tai: Aeronautical and Astronautical University,2011.(in Chinese) 徐会法.基于FrFT的一类低截获概率雷达信号截获与识别研究.烟台: 海军航空工程学院,2011.

[9] Geroleo F G,Brandt Pearce M.Detection and estimation of LFMCW radar signals.IEEE Transactions on Aerospace and Electronic Systems,2012,48(1): 405-418.

[10] Geroleo F G,Brandt Pearce M.Detection and estimation of multi-pulse LFMCW radar signals.2010 IEEE Radar Conference,2010: 1009-1013.

[11] Liu F,Sun D P,Huang Y,et al.Multi-component LFM signal feature extraction based on improved Wigner-Hough transform.Journal of Beijing Institute of Technology,2008,28(10): 914-917.(in Chinese) 刘锋,孙大鹏,黄宇等.基于改进Wigner-Hough变换的多分量LFM信号特征提取.北京理工大学学报,2008,28(10): 914-917.

[12] Liu F,Xu H F,Tao R,et al.Research on resolution among multi-component LFM signals in the fractional Fourier domain.Science China: Information Sciences,2012,55(6): 1301-1312.

[13] Wang Z Z,Cao W P,Liu F,et al.Code continuous wave radar signal detection algorithm based on periodic Wigner-Hough transform.Journal of Naval Aeronautical and Astronautical University,2012,27(6): 605-612.(in Chinese) 王泽众,曹万平,刘锋等.基于周期Wigner-Hough变换的多相编码连续波雷达信号检测算法.海军航空工程学院学报,2012,27(6): 605-612.

[14] Ata'a A W,Abdullah S N.Deinterleaving of radar signals and PRF identification algorithms.IET Radar,Sonar & Navigation,2007,1(5): 340-347.

[15] Muth L A,Wang C M,Conn T.Robust separation of background and target signals in radar cross section measurements.IEEE Transactions on Instrumentation and Measurement,2005,54(6): 2462-2468.

[16] He M H.Radar information processing.Beijing: Tsinghua University Press,2010: 48-67.(in Chinese) 何明浩.雷达对抗信息处理.北京: 清华大学出版社,2010: 48-67.

[17] Stankovic L J,Thayaparan T,Dakovic M.Signal decomposition by using the S-method with application to the analysis of HF radar signals in the sea-clutter.IEEE Transactions on Signal Processing,2006,54(11): 4332-4342.

[18] Wang Z Z,Liu F,Huang Y,et al.Digital periodic Wigner-Hough transform and its performance analysis.Telecommunication Engineering,2012,52(9): 1452-1458.(in Chinese) 王泽众,刘锋,黄宇,等.离散周期Wigner-Hough变换及其检测性能分析.电讯技术,2012,52(9): 1452-1458.

Detection and Separation of Overlapped Quasi-LFMCW Signals Based on Periodic WHT Recurrent Filter

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	HAN Songyu, SHAO Haidong, JIANG Hongkai, ZHANG Xiaoyang. Intelligent fault diagnosis of aero-engine high-speed bearings using enhanced CNN [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(9): 625479-625479.
[2]	YANG Te, YANG Zhichun, LIANG Shuya, KANG Zaifei, JIA You. Feature extraction and identification of stationary random dynamic load using deep neural network [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(9): 225952-225952.
[3]	ZHAN Qingliang, BAI Chunjin, ZHANG Ning, GE Yaojun. Feature extraction method of flow around airfoil based on time-history convolutional autoencoder [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(11): 526531-526531.
[4]	CHEN Cheng, ZHAO Dan, WANG Yueqing, DENG Liang, YANG Chao, SU Chengyu, WANG Fang. NNW-TopViz visualization analysis system for flow field [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(9): 625747-625747.
[5]	ZHANG Weiwei, KOU Jiaqing, LIU Yilang. Prospect of artificial intelligence empowered fluid mechanics [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(4): 524689-524689.
[6]	ZHANG Kai, WANG Kaidi, YANG Xi, LI Shaoyi, WANG Xiaotian. Anti-interference recognition algorithm based on DNET for infrared aerial target [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(2): 324223-324223.
[7]	WAN Peng, LI Yingguang, LIU Changqing, HUA Jiaqi. Method for accurate prediction of tool wear under varying cutting conditions based on domain adversarial gating neural network [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(10): 524879-524879.
[8]	SUN Canfei, WANG Youren. Advance in study of fault diagnosis of helicopter planetary gears [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2017, 38(7): 20892-20892.
[9]	LI Jingqing, FENG Cunqian, SUN Hongwei, HE Sisan. Micro-motion feature and shape parameters extraction based on hybrid-scheme radar network for ballistic targets [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(6): 1963-1973.
[10]	SHEN Hao, LI Shuxiao, SHEN Yiping, ZHU Chengfei, CHANG Hongxing. Fast Interframe Registration Method in Aerial Videos [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(6): 1405-1413.
[11]	SHI Jun, JIANG Zhiguo, FENG Hao, ZHANG Haopeng, MENG Gang. Elastic Net Sparse Coding-based Space Object Recognition [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(5): 1129-1139.
[12]	YU Helong, SU Hengqiang, WANG Yan, FENG Xue. Application of SUSAN Corner Detection and Matching Algorithm in High Temperature Deformation Measurement [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(5): 1064-1072.
[13]	CAI Jia, HUANG Panfeng. Research of a Real-time Feature Point Tracking Method Based on the Combination of Improved SURF and P-KLT Algorithm [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(5): 1204-1214.
[14]	HUANG Yu, LIU Feng, WANG Zezhong, XIANG Chongwen, DENG Bing. Periodic FRFT-based Multi-component LFMCW Radar Signal Separating [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(4): 846-854.
[15]	HUANG Yu, LIU Feng, WANG Zezhong, XIANG Chongwen. Chirp Function Sparse Feature Extraction and Sorting of Radar Signals Based on FRFT [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(2): 393-400.