强混响背景下LFM信号回波检测
发布时间：2018-12-17 08:07
【摘要】：混响是主动声纳检测的主要背景干扰,由于它是一种非平稳的有色噪声,使得工作在白噪声条件下的检测器性能受到极大限制。在混响背景下实现目标回波检测,常采用自回归(AR)模型对宽带回波预白化处理,但在强混响背景条件下,白化后直接进行匹配滤波检测的结果不甚理想。针对此问题,在AR模型预白化基础上,提出一种改进方法,对白化后信号先进行二分奇异值分解(SVD)处理,有效去除大部分混响干扰,然后再作匹配检测。仿真实验分析表明,相比于仅白化后的匹配滤波检测,该方法可提高信混比约3 d B,匹配检测效果得到了明显改善。
[Abstract]:Reverberation is the main background interference in active sonar detection. Because it is a non-stationary colored noise, the performance of detector working under white noise is greatly limited. In order to realize target echo detection in reverberation background, autoregressive (AR) model is often used to prewhiten wideband echo, but under strong reverberation background, the result of direct matched filtering detection after whitening is not satisfactory. In order to solve this problem, an improved method based on prewhitening of AR model is proposed. After whitening the signal is processed by binary singular value decomposition (SVD), most of the reverberation interference is removed effectively, and then matching detection is made. The simulation results show that compared with only whitened matched filter detection, this method can improve the signal-to-mixing ratio of about 3 dB, and the effect of matching detection is obviously improved.
【作者单位】： 海军潜艇学院;
【基金】：国家高技术研究发展计划(863计划)项目~~
【分类号】：U666.7
本文编号：2383936
[Abstract]:Reverberation is the main background interference in active sonar detection. Because it is a non-stationary colored noise, the performance of detector working under white noise is greatly limited. In order to realize target echo detection in reverberation background, autoregressive (AR) model is often used to prewhiten wideband echo, but under strong reverberation background, the result of direct matched filtering detection after whitening is not satisfactory. In order to solve this problem, an improved method based on prewhitening of AR model is proposed. After whitening the signal is processed by binary singular value decomposition (SVD), most of the reverberation interference is removed effectively, and then matching detection is made. The simulation results show that compared with only whitened matched filter detection, this method can improve the signal-to-mixing ratio of about 3 dB, and the effect of matching detection is obviously improved.
【作者单位】： 海军潜艇学院;
【基金】：国家高技术研究发展计划(863计划)项目~~
【分类号】：U666.7
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1 王静;黄建国;张群飞;韩晶;;噪声空间谱预白化小孔径阵列被动目标检测方法[J];西北工业大学学报;2012年03期
，本文编号：2383936
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