摘要
针对高斯色噪声混响模型下的宽带信号检测问题,研究了AR模型参数对混响局部平稳性的影响并仿真实现了满足要求的混响数据,提出了采用分段匹配滤波和分段预白化匹配滤波器实现混响背景下的宽带信号检测。首次分析了实测的正反线性调频和双曲调频信号产生的混响数据的局部平稳性,结果表明,高斯色噪声混响模型可以准确地描述这2种信号产生的混响。仿真和实测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,其中分段预白化滤波器可在信混比大于-19 dB(实测混响)条件下检测双曲调频信号,其性能优于分段匹配滤波器。
For wideband signal detection in the local stationary colored Gaussian reverberation model background, the effect of auto regressive (AR) model parameters on local stationarity of reverberation is studied, and the simulation data of reverberation are obtained. Block matched filter and block pre-whiten matched filter for detection of linear frequency modulation (LFM) and hyperbolic frequency modulation (HFM) wideband signals in reverberation environments are presented. It is found that the colored Gaussian reverberation model can exactly describe the real reverberations generated by LFM and HFM via analyzing their local stationarity. The results of simulation and detection of wideband signal show that the two filters can detect the wideband signal at low signal to reverberation ratio ( SRR), specifically the block pre-whiten matched filter can detect HFM signal at SRR 〉 - 19 dB, and the performance of block pre-whiten matched filter is much better than that of block matched filter.
出处
《鱼雷技术》
2009年第3期18-24,共7页
Torpedo Technology
基金
船舶工业国防科技预研基金项目
关键词
局部平稳性
混响
分段匹配滤波
分段预白化匹配滤波
宽带信号
检测算法
local stationarity
reverberation
block matched filter
block pro-whiten matched filter
wideband signal
detection algorithm