基于自适应重采样的雷达信号压缩算法  

Radar Signal Compression Algorithm Based on Adaptive Re-sampling

作　　者：孙业超[1] 韩民[1] 杨阳[1] 孙伟峰[1] 杨明强[1] 

机构地区：[1]山东大学信息科学与工程学院,济南250100

出　　处：《计算机工程》2010年第24期228-230,共3页Computer Engineering

基　　金：国家部委基金资助项目

摘　　要：针对实际应用中雷达采集的信号数据量较大、难以实时传输和存储的问题,提出一种基于自适应重采样的雷达信号压缩算法。对雷达信号进行分段处理,根据每段信号频谱的特点自适应地确定一个重采样率,通过对信号的重采样实现对雷达信号的压缩,利用零插值和低通滤波实现对信号的重构。实验结果证明了该算法的有效性。Aiming at the problem that the great amount of the radar signal data cause difficulties on the storage and transmission of signals, this paper proposes a radar signal compression algorithm based on adaptive re-sampling. The signal is divided into blocks, and a re-sampling rate is determined by the characteristics of the radar signal spectrum adaptively for each block. The radar signal can be compressed by re-sampling with the rate obtained, and be reconstructed successfully by zero-interpolation and low-pass filtering. Experimental results prove the effectiveness of the algorithm.

关 键 词：雷达信号 信号压缩 自适应重采样 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]