基于相关与小波变换相结合的弱信号检测

Weak Signal Detection Based on Correlation and Wavelet Transform

摘要:

针对强噪声背景中的弱信号检测问题,在传统的相关检测方法的基础上,利用小波良好的去噪性能,提出了相关检测与小波变换相结合的弱信号检测方法。仿真结果表明,该方法优于传统的相关检测方法,无须知道有用信号的先验知识和同步信号便可以有效的检测周期性弱信号,并获得更高的输出信噪比。

Abstract:

Concerning the detection of weak signal in stronger noise background, a novel method was proposed in terms of conventional correlation detection. This method combined correlation detection and wavelet transform by using the better de-noise feature of wavelet. Simulation results showed that this method outperformed conventional correlation detection, which could detect weak signal effectively by not knowing the apriori knowledge of useful signal and synchronous signal, and gained better SNR of output.