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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
【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。
【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.
- 【文献出处】 计算机工程 ,Computer Engineering , 编辑部邮箱 ,2010年24期
- 【分类号】TN957.51
- 【被引频次】5
- 【下载频次】130