基于自适应重采样的雷达信号压缩算法

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。

Radar Signal Compression Algorithm Based on Adaptive Re-sampling

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.