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计算机工程 ›› 2010, Vol. 36 ›› Issue (24): 228-230. doi: 10.3969/j.issn.1000-3428.2010.24.082

• 工程应用技术与实现 • 上一篇    下一篇

基于自适应重采样的雷达信号压缩算法

孙业超,韩 民,杨 阳,孙伟峰,杨明强   

  1. (山东大学信息科学与工程学院,济南 250100)
  • 出版日期:2010-12-20 发布日期:2010-12-14
  • 作者简介:孙业超(1986-),男,硕士,主研方向:信号处理;韩 民、杨 阳,讲师;孙伟峰,博士;杨明强,副教授
  • 基金资助:
    国家部委基金资助项目

Radar Signal Compression Algorithm Based on Adaptive Re-sampling

SUN Ye-chao, HAN Min, YANG Yang, SUN Wei-feng, YANG Ming-qiang   

  1. (School of Information Science and Engineering, Shandong University, Jinan 250100, China)
  • Online:2010-12-20 Published:2010-12-14

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

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

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