基于波形分集的雷达抗有源欺骗干扰技术研究

发布时间：2018-04-08 23:09

  本文选题：有源欺骗干扰　切入点：抗干扰　出处：《电子科技大学》2015年硕士论文

【摘要】：现代电子战中基于数字射频储存器(DRFM)有源欺骗干扰的出现与广泛使用,使得雷达抗干扰面临愈来愈多的困难。有源欺骗干扰与雷达信号具有极强的相干性,在雷达接收端易形成虚假目标,使雷达难以分辨,严重耗费雷达资源,给雷达带来了严峻的挑战和威胁。因此,为提高雷达系统的抗干扰性能和探测能力,针对雷达有源欺骗干扰的抗干扰技术逐步成为了国内外学者研究的重点和热点。本文围绕典型有源欺骗干扰的抑制问题,立足于波形分集技术,主要做了以下几方面的研究工作:1、研究了距离波门拖引干扰、距离假目标干扰和截取复制(CI)干扰三种典型距离欺骗干扰,以及速度波门拖引干扰和速度假目标干扰两种典型速度欺骗干扰的产生机理和数学模型,并仿真分析了典型有源欺骗干扰对雷达探测的影响。2、研究了基于正交频分-线性调频(OFD-LFM)的抗干扰波形设计方法,该方法利用正交LFM波形的低互相关性,并通过加窗匹配滤波降低波形间的自相关旁瓣水平,使设计的OFD-LFM波形集具有抗距离波门拖引干扰、假目标干扰和CI干扰的特性,可以将干扰尖峰抑制20 dB以上,有效提高了雷达在干扰环境下的目标探测性能。3、针对典型距离假目标干扰,研究了基于相位编码的抗干扰波形设计方法,该方法通过设计具有低自相关旁瓣和互相关旁瓣的相位编码波形,实现了对距离波门拖引干扰和距离假目标干扰的良好抑制性能,在抑制区域内,干扰尖峰可被抑制20 dB以上。4、针对强速度欺骗干扰,提出了基于阻带循环算法(SCAN)的优化初始相位波形设计方法和基于子空间牛顿算法的优化初始相位波形设计方法。这两种方法分别利用SCAN算法和子空间牛顿算法设计具有特定阻带抑制特性的脉间初始相位波形,不仅适用于单目标单干扰场景,也适用于多目标多干扰场景,在强速度欺骗干扰环境下能极大抑制目标附近的干扰能量,有效提高了目标处的信干噪比,同时也增强了微弱目标的检测。仿真结果验证了波形分集技术对抗典型有源欺骗干扰的有效性。结果说明,相对于传统雷达采用的固定发射波形模式,波形分集可以有效提高雷达抗有源欺骗干扰的性能,以及有源欺骗干扰环境下雷达的目标检测概率。
[Abstract]:The emergence and wide use of active deception jamming based on digital radio frequency storage (DRFM) in modern electronic warfare make radar anti-jamming more and more difficult.Active deceptive jamming has strong coherence with radar signal, so it is easy to form false targets in radar receiver, which makes radar difficult to distinguish, seriously consumes radar resources, and brings severe challenges and threats to radar.Therefore, in order to improve the anti-jamming performance and detection ability of radar system, the anti-jamming technology for radar active deception jamming has gradually become the focus and hotspot of domestic and foreign scholars.This paper focuses on the suppression of typical active deceptive jamming. Based on waveform diversity technology, this paper mainly studies the following aspects of research work: 1, and studies the range wave gate towing interference.The mechanism and mathematical model of the three typical range deception jamming, the velocity wave gate drag jamming and the velocity false target jamming, are discussed.The influence of typical active deceptive jamming on radar detection is analyzed by simulation. The anti-jamming waveform design method based on OFD-LFM is studied. The method uses the low correlation of orthogonal LFM waveform.By using windowed matched filter to reduce the autocorrelation sidelobe level, the designed OFD-LFM waveform set has the characteristics of resisting range gate drag interference, false target interference and CI interference, which can suppress the interference peak more than 20 dB.The target detection performance of radar in jamming environment is improved effectively. Aiming at the typical range false target jamming, the design method of anti-jamming waveform based on phase coding is studied.By designing phase coded waveforms with low autocorrelation sidelobe and cross correlation sidelobe, the method achieves good performance in suppressing range gate towing interference and range false target interference.The interference peak can be suppressed by more than 20 dB. For the strong speed deception interference, an optimal initial phase waveform design method based on stopband cycle algorithm (SCANA) and an optimized initial phase waveform design method based on subspace Newton algorithm are proposed.The two methods use the SCAN algorithm and the subspace Newton algorithm to design the initial phase waveforms with specific stopband suppression characteristics, which are not only suitable for single target single interference scenes, but also suitable for multi-target multi-jamming scenarios.In the environment of strong speed deception jamming, the jamming energy near the target can be greatly suppressed, the signal-to-noise ratio at the target is improved effectively, and the detection of weak targets is also enhanced.The simulation results demonstrate the effectiveness of waveform diversity technique against typical active deception jamming.The results show that the waveform diversity can effectively improve the performance of radar against active deceptive jamming and the target detection probability in the environment of active deceptive jamming.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN974
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本文编号：1723757