UWB-SAR抑制RFI算法性能评估与测试

Performance Evaluation and Test of RFI Suppression Algorithms for UWB-SAR

参数化方法是实现UWB -SAR抑制RFI的重要手段。为评估抑制RFI算法的实际性能 ,利用UWB -SAR实验系统的实测数据 ,从干扰抑制能力和脉冲压缩性能改善两个方面对几种主要算法进行了比较分析。结果表明 ,在干扰能量抑制比和脉冲压缩指标度量下 ,几种典型的参数化算法都能显著提高接收信号的信干比 ,而基于正弦波模型的算法略优于基于AR模型的算法。

Parametric methods are the important techniques for the implementation of Radio Frequency Interference (RFI) suppression in Ultra-WideBand Synthetic Aperture Radar (UWB-SAR) In order to evaluate the practical performance of RFI suppression algorithms, several primary algorithms are compared by the interference suppression capability and pulse compression performance The results with real data from our experimental UWB-SAR show that parametric algorithms can greatly improve the signal-to-interference ratio Furthermore, the algorithms based on sinusoidal model are a little better than those based on AR model