基于压缩传感的混沌二相码雷达成像

压缩传感系统利用信号稀疏表示的先验知识,能从少量的观测值中重构原始信号。由于混沌相位编码信号是一种伪随机码,其越来越多地应用在雷达领域。本文将压缩传感理论应用到混沌二相码雷达系统中,将成像问题转化为字典选择问题来处理,对接收的回波进行线性投影来降低采样频率,通过最小化光滑0范数重构成像。实验结果表明,本文方法在有效降低采样频率的基础上,获得了较高质量的成像效果,并且对噪声具有一定的自适应性。

Radar imaging of chaotic binary-phase coded signal via compressed sensing

Compressed sensing system can reconstruct the original signal from the fewer measurements using the sparse priors of signal.Because chaotic phase-coded signal is pseudonoise code,it has been more and more used to radar.In this paper,compressed sensing is used in chaotic phase-coded radar system,the problem of imaging is transformed to the problem of dictionary selecting to deal,a low-dimensional,nonadaptive,linear projection is used to reduce the sampling frequency,then a convex smooth l0 norm minimization is solved to reconstruct imaging.The results of experiment show that,the proposed algorithm can achieve better imaging results and has the self-adaptive characteration to noise based on reducing the sampling frequency.