基于复合频率编码的低截获概率波形簇设计

doi:10.12305/j.issn.1001-506X.2021.11.12

系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (11): 3137-3143.doi: 10.12305/j.issn.1001-506X.2021.11.12

基于复合频率编码的低截获概率波形簇设计

郝志梅^1,*, 孙进平¹, 罗美方²

1. 北京航空航天大学电子信息工程学院, 北京 100191
2. 中国航空工业集团公司雷华电子科技研究所, 江苏无锡 214063

收稿日期:2020-12-22 出版日期:2021-11-01 发布日期:2021-11-12
通讯作者: 郝志梅
作者简介:郝志梅 (1979—), 女, 研究员, 博士, 主要研究方向为雷达低截获抗干扰技术|孙进平 (1975—), 男, 教授, 博士, 主要研究方向为雷达信号与数据处理技术|罗美方 (1984—), 女, 高级工程师, 硕士, 主要研究方向为雷达低截获技术
基金资助:
航空科学基金资助课题(2014ZC07002)

Waveform cluster design of low probability of intercept based on compound frequency coding

Zhimei HAO^1,*, Jinping SUN¹, Meifang LUO²

1. School of Electronics and Information Engineering, Beihang University, Beijing 100191, China
2. Leihua Electronic Technology Research Institute, Aviation Industry Corporation of China, LTD., Wuxi 214063, China

Received:2020-12-22 Online:2021-11-01 Published:2021-11-12
Contact: Zhimei HAO

摘要/Abstract

摘要：

针对宽带正交低截获概率(low probability of intercept，LPI)雷达波形簇设计, 利用频率编码捷变和调频斜率捷变的复合波形编码技术, 在波形正交约束的基础上构造了一种复合频率编码的非线性代价目标函数, 提出了基于频率编码捷变或调频斜率捷变的复合波形簇优化设计方法。利用模式搜索算法获得了具有良好自相关和互相关旁瓣特性的宽带正交LPI波形簇。仿真结果表明, 所设计的波形能够获得低自相关旁瓣和低互相关旁瓣, 可为LPI雷达发射波形与多输入多输出雷达波形的设计提供参考。

关键词: 低截获概率雷达, 正交波形, 低自相关旁瓣, 低互相关旁瓣

Abstract:

As for the waveform cluster design of wideband orthogonal low probability of intercept (LPI) radar, utilizing the composite waveform coding technology of frequency coding agility and frequency modulation slope agility, a nonlinear cost objective function of compound frequency coding is constructed based on waveform orthogonal constraint. Moreover, the optimization design method of composite waveform cluster combining frequency coding agility and frequency modulation slope agility is proposed. A wideband orthogonal LPI waveform cluster with optimal autocorrelation and cross-correlation sidelobe is obtained by using pattern search algorithm. Simulation results show that the designed waveform can obtain low autocorrelation sidelobe and low cross-correlation sidelobe, which can provide reference for the design of LPI radar transmitting waveform and multiple input multiple output radar waveform.

Key words: low probability of intercept (LPI) radar, orthogonal waveform, low autocorrelation sidelobe, low cross-correlation sidelobe

中图分类号:

TN96

郝志梅, 孙进平, 罗美方. 基于复合频率编码的低截获概率波形簇设计[J]. 系统工程与电子技术, 2021, 43(11): 3137-3143.

Zhimei HAO, Jinping SUN, Meifang LUO. Waveform cluster design of low probability of intercept based on compound frequency coding[J]. Systems Engineering and Electronics, 2021, 43(11): 3137-3143.

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参考文献 20

1	贺平. 雷达对抗原理[M]. 北京: 国防工业出版社, 2016.
	HE P . Principle of radar countermeasure[M]. Beijing: National Defence Industry Press, 2016.
2	杨少委. 正交波形MIMO雷达射频隐身技术研究[D]. 成都: 电子科技大学, 2015.
	YANG S W. Research on radio frequency stealth technology for orthogonal waveform MIMO radar[D]. Chengdu: University of Electronic Science and Technology of China, 2015.
3	SCHLEHER D C . LPI radar: fact or fiction[J]. IEEE Aerospace and Electronic Systems Magazine, 2006, 21 (5): 3- 6. doi: 10.1109/MAES.2006.1635166
4	SULISTYANINGSI H, SAPUTERA Y P, WAHAB M. Radar signal processing development for low probability of intercept radar system[C]//Proc. of the IEEE Region 10 Conference, 2016: 946-950.
5	罗美方, 郝志梅, 王强. LFM-频率编码复合低截获波形信号处理方法[J]. 电子科技大学学报, 2017, 46 (2): 335- 339. doi: 10.3969/j.issn.1001-0548.2017.02.003
	LUO M F , HAO Z M , WANG Q . Signal processing technique for LFM/FSK hybrid LPI waveform[J]. Journal of University of Electronic Science and Technology of China, 2017, 46 (2): 335- 339. doi: 10.3969/j.issn.1001-0548.2017.02.003
6	MAJUMDER U , BELL M R , RANGASWAMY M . Design and analysis of radar waveforms achieving transmit and receive orthogonality[J]. IEEE Trans.on Aerospace and Electronic Systems, 2016, 52 (3): 1056- 1066. doi: 10.1109/TAES.2016.140248
7	ZHANG J D , XU N Q . Discrete phase coded sequence set design for waveform-agile radar based on alternating direction method of multipliers[J]. IEEE Trans.on Aerospace and Electronic Systems, 2020, 56 (6): 4238- 4252. doi: 10.1109/TAES.2020.2993683
8	HAI D . Discrete frequency-coding waveform design for netted radar systems[J]. IEEE Signal Processing Letters, 2004, 11 (2): 179- 182. doi: 10.1109/LSP.2003.821693
9	MEHANY W, JIAO L. Improved design of orthogonal discrete frequency-coding waveform based on modified genetic algorithm for MIMO-SAR[C]//Proc. of the IEEE International Conference on Signal Processing, Communications and Computing, 2014: 341-345.
10	CHANG G H , YU X X , YU C J . Discrete frequency and phase coding waveform for MIMO radar[J]. Radio-Engineering, 2017, 26 (3): 835- 841.
11	XUE Y H, LI X Y, SUN Y L, et al. Discontinuous spectra orthogonal discrete frequency-coding waveform set design for MIMO sky-wave radar[C]//Proc. of the IET International Radar Conference, 2015.
12	PENG Y X , YANG J , QIU Z K , et al. Orthogonal discrete frequency coding waveform design based on chaos[J]. Journal of Systems Engineering and Electronics, 2013, 24 (4): 617- 624. doi: 10.1109/JSEE.2013.00072
13	ROY A, DEB D, NEMADE H B, et al. Design of discrete frequency-coding waveforms using phase-coded linear chirp for multiuser and MIMO radar systems[C]//Proc. of the National Conference on Communications, 2019.
14	GAO C, TEH K C, LIU A. Frequency coding waveform with segment LFM[C]//Proc. of the IEEE 5th Asia-Pacific Confe-rence on Synthetic Aperture Radar, 2015: 507-510.
15	YU C J, CHANG G H, JI Y G, et al. DFCW-LFM analysis for MIMO HFSWR[C]//Proc. of the CIE International Conference on Radar, 2016.
16	LEVANON N , MOZESON E . Modified costas signal[J]. IEEE Trans.on Aerospace and Electronic Systems, 2004, 40 (3): 946- 953. doi: 10.1109/TAES.2004.1337466
17	ZHOU R X, XIA G F, ZHAO Y, et al. Coherent signal processing method for frequency-agile radar[C]//Proc. of the IEEE 12th International Conference on Electronic Measurement & Instruments, 2015: 431-434.
18	张静克, 代大海, 邢世其, 等. 调频斜率极性捷变SAR欠采样转发干扰[J]. 国防科技大学学报, 2016, 38 (4): 96- 102.
	ZHANG J K , DAI D H , XING S Q , et al. Repeater jamming against chirp rate polarity jittered SAR based on sub-Nyquist sampling[J]. Journal of National University of Defense Technology, 2016, 38 (4): 96- 102.
19	YA Y, CUI G, JIAN W, et al. Optimized phase-coded waveforms design against range repeat jamming[C]//Proc. of the IEEE Radar Conference, 2015: 395-399.
20	肖艳平, 傅庆庆, 潘建. 模式搜索法在飞行品质评价中的应用研究[J]. 航空科学技术, 2019, 30 (6): 68- 73.
	XIAO Y P , FU Q Q , PAN J . Research on the application of pattern search method in flight quality evaluation[J]. Aeronautical science and Technology, 2019, 30 (6): 68- 73.

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基于复合频率编码的低截获概率波形簇设计

Waveform cluster design of low probability of intercept based on compound frequency coding

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