文章摘要
张伟,董阳泽,张刚强,刘俊凯,张俊清.一种基于广义互相关的水声直扩信号检测方法[J].声学技术,2021,40(1):44~48
一种基于广义互相关的水声直扩信号检测方法
A detection method of underwater acoustic DSSS signal based on generalized cross-correlation
投稿时间:2019-12-24  修订日期:2020-01-16
DOI:10.16300/j.cnki.1000-3630.2021.01.007
中文关键词: 直扩信号检测  广义互相关  非相干积累  相关峰提取
英文关键词: direct sequence spread spectrum signal detection  generalized cross-correlation(GCC)  non-coherent accumulation  cross-correlation peaks extraction
基金项目:
作者单位E-mail
张伟 上海船舶电子设备研究所, 上海 201108 zhangwei726726@163com 
董阳泽 上海船舶电子设备研究所, 上海 201108  
张刚强 上海船舶电子设备研究所, 上海 201108  
刘俊凯 上海船舶电子设备研究所, 上海 201108  
张俊清 上海船舶电子设备研究所, 上海 201108  
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中文摘要:
      直扩信号因其低功率谱密度特性使得检测十分困难,针对传统自相关法在低信噪比条件下检测性能急剧下降的问题,在分析了直扩信号自相关特性的前提下,提出一种基于广义互相关估计的直扩信号检测方法。首先对接收信号分段并对相邻信号段分别进行广义互相关估计,估计结果采用二阶矩非相干积累,提取相关峰获得检测统计量,将检测统计量与门限比较,判定信号是否存在。通过计算机仿真对比了改进自相关检测法与文中方法的检测性能,仿真结果表明:该方法相比于改进自相关检测法信噪比容限降低了5 dB,适用于低信噪比条件下的水声直扩信号检测。水池试验处理结果也验证了该方法的实用性。
英文摘要:
      Direct sequence spread spectrum (DSSS) signal is difficult to detect due to its low power spectral density characteristics. Aiming at the problem that the performance of traditional auto-correlation detection method for DSSS signal degrades sharply under the condition of low signal-to-noise ratio (SNR), according to the analysis of autocorrelation characteristics of DSSS signal, a detection method based on generalized cross-correlation (GCC) estimation is proposed. Firstly, the received signal is segmented and the generalized cross-correlation estimation for adjacent segmented signals is performed successively, then the estimated results are processed by non-coherent accumulation of the second-order moment to extract cross-correlation peaks as detection statistics, which are compared with a certain threshold to determine whether a signal exists or not. The comparison between the performances of the improved autocorrelation detection method and the proposed method in this paper is made by computer simulation, and the result shows that the SNR tolerance of the proposed method is reduced by 5 dB compared with the improved auto-correlation method, and the proposed method can detect DSSS signals under low SNR condition. The processing result of pool test data also verifies the practicability of the proposed method.
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