航空学报 > 2023, Vol. 44 Issue (13): 327934-327934   doi: 10.7527/S1000-6893.2022.27934

基于压缩感知的抗SDIF分选射频隐身信号设计及回波信号处理

贾金伟, 刘利民(), 韩壮志, 解辉   

  1. 陆军工程大学 石家庄校区 电子与光学工程系,石家庄 050003
  • 收稿日期:2022-08-18 修回日期:2022-09-21 接受日期:2022-12-15 出版日期:2023-07-15 发布日期:2022-12-22
  • 通讯作者: 刘利民 E-mail:2994289664@qq.com

Design of anti-SDIF radio frequency stealth signal and echo signal processing technology based on compressed sensing

Jinwei JIA, Limin LIU(), Zhuangzhi HAN, Hui XIE   

  1. Department of Electronic and Optical Engineering,Shijiazhuang Campus,Army Engineering University,Shijiazhuang 050003,China
  • Received:2022-08-18 Revised:2022-09-21 Accepted:2022-12-15 Online:2023-07-15 Published:2022-12-22
  • Contact: Limin LIU E-mail:2994289664@qq.com

摘要:

射频隐身雷达能够从根本上提高机载雷达电子防御能力,是当前航空装备研究热点,其重点是抗分选射频隐身信号设计及其回波处理。针对序列差值直方图(SDIF)主分选算法,研究了抗SDIF分选的信号设计原理,并以此为基础,设计了基于随机扰动的区间数目参数化分段线性混沌系统,提出了运用混沌系统对信号脉冲重复周期进行宽间隔调制的方法。然后,考虑到传统信号处理方法在测速等方面难以处理本文设计的高随机性抗分选信号,因此运用压缩感知技术对文中设计的抗分选信号进行回波处理,解算出探测目标的速度和距离。最后,从信号设计原理的正确性、混沌系统的性能、所设计信号的抗分选性能及压缩感知对信号的恢复重构性能4个方面进行仿真验证。结果表明:文中提出的信号设计原理能够正确的指导信号设计;区间数目参数化分段线性混沌系统的性能优于经典的一维混沌系统;运用混沌系统调制的抗分选信号可以实现抗SDIF分选,并且文中设计的抗分选信号能够被处理进而得到目标的速度和距离。

关键词: 雷达对抗, 射频隐身, 抗分选, 信号设计, 混沌系统, 压缩感知, 信号处理

Abstract:

Radio Frequency (RF) stealth anti-sorting technology can improve the battlefield survival rate of radar, and is one of the research hotspots in the field of radar. In this paper, the signal design principle of anti-SDIF sorting is studied based on the main sorting algorithm of Sequence Difference histogram (SDIF). On this basis, a piecewise linear chaotic system with interval number parameterization is designed based on random disturbance, and a method of using chaotic system to modulate the signal pulse repetition period with wide interval is proposed. Then, considering that it is difficult to use the traditional signal processing method to deal with the highly random anti-sorting signal designed in this paper in terms of velocity measurement, the compressed sensing technology is used to process the echo of the signal designed in this paper and to solve the velocity and distance of the detection target. Finally, simulations are carried out to verify the correctness of signal design principle, the performance of chaotic system, the anti-sorting performance of the designed signal, and the recovery and reconstruction performance of the signal by compressed sensing. The results show that the signal design principle presented in this paper can be used for signal design, the performance of interval number parametric piecewise linear chaotic system is better than that of the classical one-dimensional chaotic system, the anti-sorting signal modulated by the chaotic system can achieve anti-SDIF sorting, and the anti-sorting signal designed in this paper can be processed to obtain the speed and distance of the target.

Key words: radar countermeasure, radio frequency stealth, anti-sorting, signal design, chaotic system, compressed sensing, signal processing

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