压缩感知在雷达侦查中的应用.pdf

基于压缩感知的雷达信号侦查处理 姓 名 冯小英 学 号 1302121352 课 程 现代电子对抗系统 指导老师 董春曦 摘 要 雷达侦察是电子对抗领域中的重要组成部分。无论是数字接收机的雷达信号截获技术还 是截获雷达信号后的侦察处理算法，均是以奈奎斯特采样定理为理论基础的，即为了能精确 重构信号，采样速率必须达到信号带宽的两倍以上。随着越来越宽的瞬时带宽，使得无论在 信号截获还是后续参数估计时要求的信号存储空间及运算时间都陷入困境。压缩感知 (Compressed Sensing)的出现给雷达侦察提供了一种新思路。本文研究了压缩感知在模拟域的 应用，包括基于压缩感知的随机等效采样和 AIC(Analog-to-Information Conversion)测量框架 两种算法。同时研究了在不重构情况下基于压缩感知的信号检测算法及频率估计算法。 关键词：压缩感知 随机等效采样 AIC 频率估计 信号检测 Abstract Radar reconnaissance is an important part in the field of ECM (ElectronicCounter-measure). Both the capture technology of digital receiver’s radar signals and the detection processing algorithms after the radar signals are based on the Nyquist sampling theorem. In order to reconstruct signal accurately, the sampling rate must reach more than twice as much as the signal bandwidth. The instantaneous bandwidth are becoming more and more wide, which makes the signal storage space and computation time required in the signal capture and the parameter estimation in trouble. The appearance of Compressed Sensing provides a new way for rdar reconnaissance. This thesis studies the applications of compresse d sensing in the analog domain, including two algorithms: random sampling based on Compressed sensing and AIC (Analog-to- Information Conversion). Signal detection algorithm and frequency estimation algorithm based on Compressed sensing in case of noreconstruction are studied as well. Keywords: Compressed Sensing Random sampling AIC Frequency estimation Signal detection