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为解决大带宽、多通道空间雷达系统的数据量大导致数据无法存储和传输的问题,介绍了一种基于压缩感知理论(CS,Compressive Sensing)的、全新的合成孔径雷达数据获取体制和脉冲压缩方法.在观测场景满足一定稀疏特性的前提条件下,使用该方法取代传统的匹配滤波方法进行脉冲压缩处理,可以从远远低于常规雷达所获取的数据量中恢复出原始场景.压缩感知脉冲压缩是通过使用一种贪婪追踪算法解一个逆问题来重建脉冲压缩后的信号.给出了该方法的原理和过程,并通过计算机仿真验证了该方法的有效性.这种新方法可以简化雷达系统,有效降低存储和传输的数据量,将设计重点从昂贵的接收机硬件上转移到智能信号重建算法上去.
In order to solve the problem of large amount of data and large amount of data in multi-channel space radar system, which can not store and transmit data, a novel SAR acquisition system based on Compressive Sensing (CS) and pulse compression The proposed method replaces the traditional matched filtering method and performs pulse compression processing to recover the original scene from the amount of data acquired by the conventional radar when the observed scene satisfies a certain sparse characteristic.The compressed sensing pulse Compression uses a greedy tracking algorithm to solve an inverse problem to reconstruct the pulse-compressed signal. The principle and process of the method are given and the effectiveness of the proposed method is verified by computer simulation. This new method can simplify the radar System that effectively reduces the amount of data that is stored and transmitted and shifts design focus from expensive receiver hardware to intelligent signal reconstruction algorithms.