应用CZT成像算法处理非线性调频SAR信号

在雷达领域，非线性调频(NLFM)信号正越来越广泛地被应用．对于综合孔径雷达(SAR)，利用NLFM脉冲压缩既可改善脉压系统性能，又可提高系统的安全性和抗干扰性，但是如何应用现有的成像算法处理NLFM SAR信号仍少有研究．本文提出了一种改进的Chirp Z-Transform(CZT)算法．该算法适用于处理NLFM SAR信号．作者从NLFM函数族中选取了一组NLFM信号进行处理，不失普遍性地证明了应用改进的CZT算法处理NLFM信号和线性调频(LFM)信号，可以得到相同的距离单元迁移(RCM)校正效果．

Application of Chirp Z-Transform in Imaging Processing of Non-Linear Frequency Modulated SAR Signals

In the radar field, Non-Linear Frequency Modulation (NLFM) signals are widely used. For Synthetic Aperture Radar (SAR), use NLFM pulse compress can improve the pulse compress and anti-jamming capability of SAR system. But how to take the existing SAR imaging arithmetic to process NLFM signal still rarely be studied. This paper expounds a kind of improved Chirp Z-Transform (CZT) arithmetic which permits to process SAR echo when SAR sends NLFM signals. a group of parameters form NLFM functions family is chosen and the improved CZT arithmetic to process the signal. Is used, the result is as good as Linear Frequency Modulated SAR signals.