Anti-interrupted Sampling Repeater Jamming Waveform Design Method

Chang ZHOU; Ziyue TANG; Zhenbo ZHU; Yuanpeng ZHANG

doi:10.11999/JEIT171236

Volume 40 Issue 9

Aug. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(9): 2198-2205

Chang ZHOU, Ziyue TANG, Zhenbo ZHU, Yuanpeng ZHANG. Anti-interrupted Sampling Repeater Jamming Waveform Design Method[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2198-2205. doi: 10.11999/JEIT171236

Citation:

Chang ZHOU, Ziyue TANG, Zhenbo ZHU, Yuanpeng ZHANG. Anti-interrupted Sampling Repeater Jamming Waveform Design Method[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2198-2205. doi: 10.11999/JEIT171236

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Anti-interrupted Sampling Repeater Jamming Waveform Design Method

doi: 10.11999/JEIT171236

Air Force Early Warning Academy, Wuhan, 430019, China

Funds: The National Natural Science Foundation of China (51309232)

Received Date: 2017-12-28
Rev Recd Date: 2018-05-22

Available Online: 2018-07-12

Publish Date: 2018-09-01

Abstract

Abstract

Interrupted Sampling Repeater Jamming (ISRJ) is an advanced intensive false-target jamming with the advantages of fast interference response, anti-agile ability and so on. The radar signal is intermittently sampled with low-rate based on the principle of the under-sampling method, so that the radar can not detect the real targets and the jamming may overload the signal processing system. This article mainly focuses on the Interrupted Sampling Repeater Jamming. A sensitive Doppler sparse waveform is designed based on the ambiguity function theory to suppress the interference, which destroys the continuity of the interference signal output on different Doppler and suppresses the output of the intensive interference. Based on the analysis of the equivalent interval sidelobe, a method of sliding window extraction detection is proposed to achieve effective target detection while anti-jamming. Theoretical analysis and simulation experiments demonstrate the effectiveness of the interference suppression and the target detection performance in the interference.

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References(20)

References

王雪松, 刘建成, 张文明, 等. 间歇采样转发干扰的数学原理[J]. 中国科学, 2006, 36(8): 891–901 doi: 10.3969/j.issn.1674-7259.2006.08.007

WANG Xuesong, LIU Jiancheng, ZHANG Wenming, et al. The mathematical principle of Interrupted Sampling Repeater Jamming[J]. Science in China Series E Information Sciences, 2006, 36(8): 891–901 doi: 10.3969/j.issn.1674-7259.2006.08.007

SPARROW M J and CIKALO J. ECM techniques to counter pulse compression radar[P]. US Patent 7081846, 2006.

马晓峰, 陆乐, 盛卫星, 等. 干扰子空间正交投影快速零陷跟踪波束赋形算法[J]. 电子与信息学报, 2016, 38(10): 2560–2567 doi: 10.11999/JEIT151438

MA Xiaofeng, LU Le, SHENG Weixing, et al. Fast nulls tracking pattern synthesis based on jammer subspace orthogonal projection[J]. Journal of Electronics&Information Technology, 2016, 38(10): 2560–2567 doi: 10.11999/JEIT151438

GANG Lu and BIN Tang. Deception jammer rejection using pulse diversity in joint slow/fast-time domain[J]. Journal-Chinese Institute of Engineers, 2013, 36(3): 405–410 doi: 10.1080/02533839.2012.731847

HAYKIN S. Cognitive radar: A way of the future[J]. IEEE Signal Processing Magazin, 2006, 23(1): 30–40 doi: 10.1109/MSP.2006.1593335

YU Xianxiang, CUI Guolong, GE Peng, et al. Constrained radar waveform design algorithm for spectral coexistence[J]. Electronics Letters, 2017, 53(8): 558–560 doi: 10.1049/el.2016.4524

FENG Xiang, SONG Yangchun, ZHOU Zhiquan, et al. Designing unimodular waveform with low range sidelobes and stopband for cognitive radar via relaxed alternating projection[J]. International Journal of Antennas and Propagation, 2016, 2016: 1–9 doi: 10.1155/2016/6280508

HE Hao. Waveform design for active sensing systems: A computational approach[D]. [Ph.D. dissertation], Cambridge University Press, UK, 2012.

冯翔, 陈志坤, 赵宜楠, 等. 基于联合优化松弛交替投影的组网雷达恒模波形设计方法[J]. 电子与信息学报, 2016, 38(7): 1745–1751 doi: 10.11999/JEIT151152

FENG Xiang, CHEN Zhikun, ZHAO Yinan, et al. Unimodular waveforms design for netted radar system via joint optimization relaxed alternating projectio[J]. Journal of Electronics&Information Technology, 2016, 38(7): 1745–1751 doi: 10.11999/JEIT151152

李玉翔, 任修坤, 孙扬, 等. 一种循环迭代的宽带MIMO雷达正交稀疏频谱波形设计方法[J]. 电子与信息学报, 2017, 39(4): 953–959 doi: 10.11999/JEIT160597

LI Yuxiang, REN Xiukun, SUN Yang, et al. Cyclic iterative method for wideband MIMO radar orthogonal sparse frequency waveform design[J]. Journal of Electronics&Information Technology, 2017, 39(4): 953–959 doi: 10.11999/JEIT160597

PETER S, HE Hao, and LI Jian. New algorithms for designing unimodular sequences with good correlation properties[J]. IEEE Transactions on Signal Processing, 2009, 57(4): 1415–1425 doi: 10.1109/TSP.2009.2012562

SONG Junxiao, PRABDU B, and DANIEL P. Sequence design to minimize the weighted integrated and peak sidelobe levels[J]. IEEE Transactions on Signal Processing, 2016, 64(8): 2051–2064 doi: 10.1109/TSP.2015.2510982

ANTONIO D M, HUANG Y, PIEZZO M, et al. Design of optimized radar codes with a peak to average power ratio constraint[J]. IEEE Transactions on Signal Processing, 2011, 59(6): 2683–2697 doi: 10.1109/TSP.2011.2128313

SOLTANALIAN M and STOICA P. Designing unimodular codes via quadratic optimization[J]. IEEE Transactions on Signal Processing, 2014, 62(5): 1221–1234 doi: 10.1109/TSP.2013.2296883

EUSTICE D, BAYLIS C, LATHAM C, et al. Optimizing radar waveforms using generalized alternating projections[C]. Wireless & Microwave Circuits & Systems, Waco Texas, 2015: 1–6.

ZHANG Jingdong, QIU Xiaoyan, SHI Changli, et al. Cognitive radar ambiguity function optimization for unimodular sequence[J]. EURASIP Journal on Advances in Signal Processing, 2016, 2016(31): 1–13 doi: 10.1186/13634-016-0325-3

WU L L, BADU P, and DANIEL P. Cognitive radar-based sequence design via SINR maxmization[J]. IEEE Transactions on Signal Processing, 2017, 65(3): 779–793 doi: 10.1109/TSP.2016.2621723

AUBRY A, DE Maio A, JIANG B, et al. Ambiguity function shaping for cognitive radar via complex quartic optimization[J]. IEEE Transactions on Signal Processing, 2013, 61(22): 5603–5619 doi: 10.1109/TSP.2013.2273885

RICHARDS M A. Fundamentals of Radar Signal Processing[M]. New York: McGraw-Hill, 2014: 139–147.

李秀友, 关键, 薛永华, 等. 模糊函数约束下的高多普勒容忍性波形设计方法[J]. 信号处理, 2015, 31(12): 1612–1618 doi: 10.3969/j.issn.1003-0530.2015.12.011

LI Xiuyou, GUAN Jian, XUE Yonghua, et al. High Doppler tolerance waveform design method constrained by ambiguity function[J]. Journal of Signal Processing, 2015, 31(12): 1612–1618 doi: 10.3969/j.issn.1003-0530.2015.12.011

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