一种高斯色噪声混响背景的宽带信号检测算法

Wideband Signal Detection Algorithm in Colored Gauss Reverberation Background

针对由正反线性调频信号和双曲调频信号产生的宽带混响,研究了以局部平稳高斯色噪声混响模型为基础的分段匹配滤波检测算法。对匹配滤波器采用分段预白化处理,对数据进行合理分段后,对每段数据按高斯色噪声背景下的最佳检测器,即对匹配滤波检测器进行预白化处理,则可以得到分段预白化匹配滤波检测器。仿真试验实现了对混响数据下的宽带信号检测。结果表明采用分段匹配滤波器和分段预白化滤波器可以在低信混比下检测信号,其中分段预白化匹配滤波算法可以有效检测满足局部平稳高斯色噪声背景下的回波信号,且性能优于分段匹配滤波器。

In order to detect linear and hyperbolic frequency modulation windband signal in reverberation environments,a signal detection algorithm is presented based on block matched filter.The matched filter is processed with block prewhiten method,the data is blocked and each blocked data is processed by matched detection filter which is called block prewhiten matched filter detector.Windband signal detection simulation is completed in reverberation data background,simulation result shows that block matched filter and block prewhiten matched filter can detect signal at low signal-to-reverberation ratio（SRR）,and the improved filter can detect echo signal in local stationarity colored Gauss reverberation background effectively,and the performance of block prewhiten matched filter is much better than block matched filter using same filter.