Radio frequency noise interference suppression based on estimation-feedback integration

WANG Guohong; SUN Dianxing; BAI Jie; ZHANG Xiangyu

doi:10.7527/S1000-6893.2017.21500

ACTA AERONAUTICAET ASTRONAUTICA SINICA >

2018 , Vol. 39 >Issue 3: 321500 - 321500

DOI: https://doi.org/10.7527/S1000-6893.2017.21500

Electronics and Electrical Engineering and Control

Radio frequency noise interference suppression based on estimation-feedback integration

WANG Guohong ,
SUN Dianxing ,
BAI Jie ,
ZHANG Xiangyu

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Institute of Information Fusion, Naval Aeronautical University, Yantai 264001, China

Received date: 2017-06-12

Revised date: 2017-12-20

Online published: 2017-12-20

Supported by

National Natural Science Foundation of China (61731023,61701519)

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Abstract

To overcome the problem low probability of detection of pulse radar under strong Radio Frequency (RF) noise interference, a radio frequency noise interference suppression technique is proposed based on estimation-feedback integration. Firstly, pretreatment of the blind source separation is performed for the echo signal. The parameters of the target echo signal are estimated according to the characteristics of FRactional Fourier Transform (FRFT), and the narrowband filter is used to filter out most of the interference and noise energy. Then, using the M/N logic method to perform the trace processing in the data layer, and combining the radial velocity direction, detection of target track prediction is realized. Finally, using the data layer of track state feedback real-time correction filter parameters, the interference energy is better filtered out in the signal layer and the interrupt track is also filtered out to complete RF jamming suppression. The simulation results show that the algorithm proposed has better interference suppression effect compared with existing RF noise interference suppression techniques.

Key words： FRactional Fourier Transform (FRFT); narrowband filtering; estimated detection; feedback regulation; integrated processing

Cite this article

WANG Guohong , SUN Dianxing , BAI Jie , ZHANG Xiangyu . Radio frequency noise interference suppression based on estimation-feedback integration[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018 , 39(3) : 321500 -321500 . DOI: 10.7527/S1000-6893.2017.21500

References

[1] 赵国庆. 雷达对抗原理[M]. 西安:西安电子科技大学出版社, 2012:122-123. ZHAO G Q. Radar countermeasure principle[M]. Xi'an:Xidian University Press, 2012:122-123(in Chinese).
[2] 李冬霞, 崔颜敏, 刘海涛, 等. 基于JADE的测距仪脉冲干扰抑制技术[J].系统工程与电子技术, 2016, 38(2):423-427. LI D X, CUI Y M, LIU H T, et al. Distance measure equipment impulse interference mitigation method based on JADE[J]. Systems Engineering and Electronics. 2016, 38(2):423-427(in Chinese).
[3] 温媛媛, 陈豪. 基于时域卷积盲信号分离的雷达干扰抑制技术算法[J].中国科学院大学学报, 2013, 30(4):523-527. WEN Y Y, CHEN H. Algorithm of radar interference suppression based on blind signal separation in the time domain[J]. Journal of University of Chinese Academy of Sciences, 2013, 30(4):523-527(in Chinese).
[4] JONEIDI M, ZAEEMZADEH A, REZAEIFAR S, et al. LFM signal detection and estimation based on sparse representation[C]//Information Sciences and Systems. Piscataway, NJ:IEEE Press, 2015:1-5.
[5] JIN Y, DUAN P, JI H. Parameter estimation of LFM signals based on scaled ambiguity function[J]. Circuits Systems & Signal Processing, 2016, 35(12):1-18.
[6] DING Y, SUN L, ZHANG H, et al. A multi-component LFM signal parameters estimation method using STFT and Zoom-FRFT[C]//IEEE International Conference on Communication Software and Networks. Piscataway, NJ:IEEE Press, 2016:112-117.
[7] LIU D, LIU Y, CAI H, et al. Linear frequency-modulated continuous wave active sonar signal processing[C]//OCEANS. Piscataway, NJ:IEEE Press, 2014:1-5.
[8] 陈小龙, 关键, 刘宁波, 等. 基于FRFT的LFM信号自适应滤波算法及分析[J]. 现代雷达, 2010, 32(12):48-53. CHEN X L, GUAN J, LIU N B, et al. Adaptive filtering algorithm for LFM signal and performance analysis based on FRFT[J]. Modern Radar, 2010, 32(12):48-53(in Chinese).
[9] 贺达超, 王国宏, 孙殿星. 压制干扰下长基线雷达网多目标跟踪技术[J]. 指挥控制与仿真, 2015(6):1-7. HE D C, WANG G H, SUN D X. Multi-target tracking technique for long baseline radar network in the presence of suppressive jamming[J]. Command Control & Simulation, 2015(6):1-7(in Chinese).
[10] 王国宏, 李世忠, 白晶, 等. 压制干扰下组网雷达目标检测与跟踪技术[J]. 宇航学报, 2012, 33(12):1781-1787. WANG G H, LI S Z, BAI J, et al. Target detection and tracking technique for radar network in the presence of suppressive jamming[J]. Journal of Astronautics, 2012, 33(12):1781-1787(in Chinese).
[11] 李世忠, 王国宏, 白晶, 等. 压制干扰下雷达网点目标概率多假设跟踪算法[J]. 西安交通大学学报, 2012, 46(10):101-106. LI S Z, WANG G H, BAI J, et al. A tracking algorithm with multiple probabilities hypothesis for radar network point target in the presence of suppressive jamming[J]. Journal of Xi'an Jiaotong University, 2012, 46(10):101-106(in Chinese).
[12] 徐海全, 王国宏, 关成斌. 远距离支援干扰下的目标跟踪技术[J]. 北京航空航天大学学报, 2011, 37(11):1353-1358. XU H Q, WANG G H, GUAN C B. Tracking technique in the presence of standoff jamming[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011,37(11):1353-1358(in Chinese).
[13] 谢艾彤. 低信噪比信号的检测与参数估计方法研究[D]. 成都:电子科技大学, 2007:33-35. XIE A T. Study on detection and parameter estimation of signal in low signal-to-noise ratio[D]. Chengdu:Electronic Science and Technology University, 2007:33-35(in Chinese).
[14] 杜东平. 雷达压制式干扰抑制算法研究[D]. 成都:电子科技大学, 2008:24-27. DU D P. The research of radar pressure jamming suppression algorithm[D]. Chengdu:Electronic Science and Technology University, 2008:24-27(in Chinese).
[15] 李智明. 基于改进Fast ICA算法的混合语音盲分离[D]. 上海:上海交通大学, 2015:21-43. LI Z M. Blind separation of mixed audio signals based on improved fast ICA[D]. Shanghai:Shanghai Jiao Tong University, 2015:21-43(in Chinese).
[16] 齐林, 陶然, 周思永, 等. 基于分数阶Fourier变换的多分量LFM信号的检测和参数估计[J]. 中国科学, 2003, 33(8):749-759. QI L, TAO R, ZHOU S Y, et al. Detection and parameter estimation of multi-component LFM signals based on fractional Fourier transform[J]. Science in China, 2003, 33(8):749-759(in Chinese).
[17] 刘锋, 徐会法, 陶然. 基于FRFT的对称三角LFMCW信号检测与参数估计[J]. 电子与信息学报, 2011, 33(8):1864-1870. LIU F, XU H F, TAO R. Detection and parameter estimation of symmetrical triangular LFMCW signal based on Fractional Fourier transform[J]. Journal of Electronics & Information Technology, 2011, 33(8):1864-1870(in Chinese).
[18] 陶然, 邓兵, 王越, 等. 分数阶傅里叶变换及其应用[M]. 北京:清华大学出版社, 2009:11-12. TAO R, DENG B, WANG Y, et al. Fractional Fourier transform and its applications[M]. Beijing:Tsinghua University Press, 2009:11-12(in Chinese).
[19] 张贤达. 信号处理中的线性代数[M]. 北京:北京科学出版社, 1997:65-67. ZHANG X D. Linear algebra in signal processing[M]. Beijing:Beijing Science Press, 1997:65-67(in Chinese).
[20] 张峰, 陶然. 分数阶Fourier域谱估计及其应用[J]. 电子学报, 2008, 36(9):1723-1727. ZHANG F, TAO R. Power spectral estimation and its application in Fractional Fourier domain[J]. Acta Electronica Sinica, 2008, 36(9):1723-1727(in Chinese).
[21] 王瑜, 李小波, 周青松, 等. 基于FRFT窄带滤波的LFM信号研究[J]. 火力与指挥控制, 2016, 41(12):41-43. WANG Y, LI X B, ZHOU Q S, et al. Study of LFM signal based on FRFT domain narrowband filter[J]. Fire Control & Command Control, 2016, 41(12):41-43(in Chinese).
[22] 何友, 修建娟, 张晶炜, 等. 雷达数据处理及应用[M]. 北京:电子工业出版社, 2010:117-118. HE Y, XIU J J, ZHANG J W, et al. Radar data processing with applications[M]. Beijing:Electronic Industry Press, 2010:117-118(in Chinese).
[23] 孙殿星. 雷达网抗欺骗式干扰技术研究[D]. 烟台:海军航空工程学院, 2015:81-82. SUN D X. Research on anti-spoofing technology of radar network[D]. Yantai:Naval Aeronautical and Astronautical University, 2015:81-82(in Chinese).
[24] 陈小龙, 刘宁波, 王国庆, 等. 基于Radon-分数阶傅里叶变换的雷达动目标检测方法[J]. 电子学报, 2014, 42(6):1074-1080. CHEN X L, LIU N B, WANG G Q, et al. Radar detection method for moving target based on Radon-fractional Fourier transform[J]. Acta Electronica Sinica, 2014, 42(6):1074-1080(in Chinese).

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