幅相联合处理算法的分析和实时实现

针对多种接收相参处理法对改善因子的限制 ,提出了一种全新的幅相联合处理算法。介绍了该算法的数学分析 ,计算仿真 ,数字信号处理器 (DSP)实时实现方法。该算法分别通过卷积和相关提取不受发射脉冲随机初相、振幅、脉间频率抖动影响的幅度分量和相位分量 ,再联合成新的相参复信号。这个联合信号具有幅度、相位时间一致性好 ,便于用DSP实时实现的优点。理论分析和实际测试表明 :该算法的改善因子性能大于 5 5 d B。该算法的应用使某非相参雷达的杂波中可见度性能提高 10 d B

Analysis and real-time implementation of A-P combined processing algorithm

A new combined Amplitude Phase (A P) processing algorithm was developed by analyzing the improvement factor limitation from other coherent on receive processing methods. The analysis, simulation, implementation are presented. The amplitude component and the phase component, which are not completely influenced by the random phase, amplitude and frequency of the transmitted pulse, are separately extracted using convolution and correlation processing and are then combined into a new complex coherent signal. The time of the combined A P signal is coherent, so the algorithm is implemented with digital signal processing (DSP). Theoretical analysis and practical tests demonstrate that improvement factor of the algorithm is improved by more than 55 dB. The sub clutter visibility of a non coherent radar is increased by 10 dB using the algorithm with radar signal.