The SMeared SPectrum (SMSP) jamming is a special active deception jamming for countering a Linear Frequency Modulated (LFM) pulse compression radar system. For suppressing the SMSP jamming, a novel anti-jamming approach is proposed based on jointing Time-Frequency (TF) distribution and Compressed Sensing (CS). First the SMSP jamming is isolated in the TF domain, and then the TF points belonging to target signal are reserved. According to the linear relationship between the reserved TF points and the frequency domain of radar echo, a CS minimization model is established and the Orthogonal Matching Pursuit (OMP) algorithm is utilized to recover the target signal, which means the SMSP jamming is mitigated simultaneously. The validity of the proposed method is evaluated using experimental data via Monte Carlo simulation.
The National Natural Science Foundation of China (61271297, 61272281, 61301284), The Specialized Research Fund for the Doctoral Program of Higher Education (20110203 110001)
Corresponding Authors:
LU Yunlong
E-mail: yllu@stu.xidian.edu.cn
LU Yunlong,LI Ming,CAO Runqing等. Jointing Time-frequency Distribution and Compressed Sensing for Countering Smeared Spectrum Jamming[J]. JEIT, 2016, 38(12): 3275-3281.
LU Yunlong, LI Ming, CHEN Hongmeng, et al. Countering DRFM range gate pull-off jamming based on singular spectrum analysis[J]. Journal of Electronics & Information Technology, 2016, 38(3): 600-606. doi: 10.11999/JEIT150550.
LU Yunlong, LI Ming, and YAN Yan. Method for detecting DRFM deception jamming based on LFM rate matching[J]. Journal of Xidian University, 2014, 41(5): 67-73. doi: 10.3969/j.issn.1001-2400.2014.05.012.
[4]
ZHANG Jingdong, ZHU Daiyin, and ZHANG Gong. New antivelocity deception jamming technique using pulses with adaptive initial phase[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(2): 1290-1300. doi: 10.1109/TAES.2013.6494414.
WU Yifeng, WANG Tong, WU Jianxin, et al. A method to suppress dense repeater jamming for airborne radar based on generalized sidelobe canceller[J]. Journal of Electronics & Information Technology, 2014, 36(5): 1049-1054. doi: 10.3724 /SP.J.1146.2013.01040.
JIANG Lei and WANG Tong. Airborne radar adaptive transmit technique for anti coherent repeater jammer[J]. Systems Engineering and Electronics, 2015, 37(4): 789-794. doi: 10.3969/j.issn.1001-506X.2015.04.11.
TONG Yalong, WANG Tong, DAI Baoquan, et al. A moving target detection method to suppress dense deception jamming for airborne radar[J]. Journal of Electronics & Information Technology, 2015, 37(3): 658-664. doi: 10.11999/ JEIT140679.
YANG Shaoqi, TIAN Bo, LI Xin, et al. A recognition method of LFM radar active deception jamming based on SPWVD figure[J]. Journal of Air Force Engineering University, 2016, 17(1): 56-59. doi: 10.3969/j.issn.1009-3516.2016.01.011.
[9]
ZHAO Yuan, DU Dongping, AHMED ABDALLA Ali, et al. Detection of SMSP jamming in netted radar system based on fractional power spectrum[C]. IEEE 17th International Conference on Computational Science and Engineering, Chendu, 2014: 989-993. doi: 10.1109/CES.2014.197.
[10]
LI Yongping, YING Xiong, and TANG Bin. SMSP jamming identification based on matched signal transform[C]. IEEE International Conference on Computational Problem-Solving, Chendu, 2011: 182-185. doi: 10.1109/ICCPS.2011.6092274.
[11]
SUN Minghong and TANG Bin. Suppression of smeared spectrum ECM signal[J]. Journal of the Chinese Institute of Engineers, 2009, 32(3): 407-413. doi: 10.1080/02533839. 2009.9671521.
[12]
STANKOVIC L, THAYAPARAN T, DAKOVIC M, et al. Micro-Doppler removal in the radar imaging analysis[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(2): 1234-1250. doi: 10.1109/TAES.2013.6494410.
[13]
WHITELONIS N and LING Hao. Radar signature analysis using a joint time-frequency distribution based on compressed sensing[J]. IEEE Transactions on Antennas and Propagation, 2014, 62(2): 755-763. doi: 10.1109/TAP.2013. 2291893.
YAN Hao, DONG Chunxi, and ZHAO Guoqing. Parameter estimation of LFM signal based on compressed sensing[J]. Chinese Journal of Radio Science, 2015, 30(3): 449-456. doi: 10.13443/j.cjors.2014070103.
[16]
ZUO Lei, LI Ming, ZHANG Xiaowei, et al. CFAR detection of range-spread targets based on the time-frequency decomposition feature of two adjacent returned signals[J]. IEEE Transactions on Signal Processing, 2013, 61(24): 6307-6319. doi: 10.1109/TSP.2013.2282274.
ZHANG Yuheng, WU Qihui, and WANG Jinlong. LFM interference suppression using time-frequency windowed short-time fourier transform[J]. Journal of Electronics & Information Technology, 2007, 29(6): 1361-1364.
[18]
DJUROVIC I, STANKOVIC L, and BOHME J F. Robust L-estimation based forms of signal transforms and time-frequency representations[J]. IEEE Transactions on Signal Processing, 2003, 51(7): 1753-1761. doi: 10.1109/ TSP.2003.812739.
[19]
STANKOVIC L, OROVIC I, STANKOVIC S, et al. Compressive sensing based separation of nonstationary and stationary signals overlapping in time-frequency[J]. IEEE Transactions on Signal Processing, 2013, 61(18): 4562-4572. doi: 10.1109/TSP.2013. 2271752.