基于小波变换的雷达目标回波信号提取算法

随着雷达技术的快速发展,低信噪比(signal-to-noise ratio,SNR)条件下的雷达目标信号提取越来越重要。传统的脉冲压缩算法在低SNR条件下作用不明显。提出了一种新的在低SNR条件下的雷达目标回波信号提取算法。该算法在传统脉冲压缩算法的基础之上,采用小波变换对脉冲压缩后的信号进行分解,提取信号高频信息的小波系数。再用改进的小波变换模极大值算法对信号的高频信息进行去噪,然后重构信号的高频信息,最后再重构完整的雷达目标回波信号。仿真结果表明,该算法能够有效地去除噪声,提取出雷达目标的回波信号,相比于脉冲压缩算法及其他算法性能得到了很大的提升。

Radar target echo signal extraction algorithm based on wavelet transform

With the rapid development of radar technology, the radar target signal extraction under low signal to noise ratio (SNR) is becoming more and more important. The traditional pulse compression algorithm has no obvious effect under low SNR. A new algorithm for radar target echo signal extraction under low SNR is proposed. This algorithm is based on the traditional pulse compression algorithm, and use the wavelet transform to decompose the signal after pulse compression, then we extract the wavelet coefficients of the high frequency information. After that the high frequency information of the signal is denoised by the improved wavelet transform modulus maxima algorithm, and then the high frequency information of the signal is reconstructed. Finally, the complete target echo signal is reconstructed. The simulation results show that compared with the pulse compression and other algorithm, the performance has been greatly improved.