Abstract:
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.
Key words:
radar signal,
signal compression,
adaptive re-sampling
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。
关键词:
雷达信号,
信号压缩,
自适应重采样
CLC Number:
SUN Ye-Chao, HAN Min, YANG Yang, SUN Wei-Feng, YANG Meng-Jiang. Radar Signal Compression Algorithm Based on Adaptive Re-sampling[J]. Computer Engineering, 2010, 36(24): 228-230.
孙业超, 韩民, 杨阳, 孙伟峰, 杨明强. 基于自适应重采样的雷达信号压缩算法[J]. 计算机工程, 2010, 36(24): 228-230.