李昆原, 杜庆治, 叶哲江, 龙华. 基于提升小波时间延迟估计的被动声定位研究[J]. 云南大学学报(自然科学版), 2012, 34(6): 641-647,652.
引用本文: 李昆原, 杜庆治, 叶哲江, 龙华. 基于提升小波时间延迟估计的被动声定位研究[J]. 云南大学学报(自然科学版), 2012, 34(6): 641-647,652.
LI Kun-yuan, DU Qing-zhi, YE Zhe-jiang, LONG Hua. Research on the passive acoustic positioning for lifting wavelet time delay estimation[J]. Journal of Yunnan University: Natural Sciences Edition, 2012, 34(6): 641-647,652.
Citation: LI Kun-yuan, DU Qing-zhi, YE Zhe-jiang, LONG Hua. Research on the passive acoustic positioning for lifting wavelet time delay estimation[J]. Journal of Yunnan University: Natural Sciences Edition, 2012, 34(6): 641-647,652.

基于提升小波时间延迟估计的被动声定位研究

Research on the passive acoustic positioning for lifting wavelet time delay estimation

  • 摘要: 在七元空间声传感器阵列被动声定位的数学模型下,针对一阶离散小波时间延迟估计算法在低信噪比的环境下,存在着时间延迟估计精度较差,导致对目标声源定位精度较差的问题,提出一种基于提升小波时间延迟估计算法.通过仿真和计算证明改进后的算法在低信噪比的环境下估计出较高精度的时间延迟量,计算简便,运行效率较高,提升了七元空间声阵定位的精度,达到了简化算法的目的.

     

    Abstract: In the mathematical model of the seven-element acoustic array,the first-order discrete wavelet time delay estimation algorithm estimate the delay time poorly in low SNR environment,this paper proposed the lifting wavelet time delay estimation algorithm to try to solve the problem.Compared with the first-order discrete wavelet time delay estimation algorithm,this algorithm improved the precision of positioning in low SNR environment.The computer simulation showed that this algorithm improved the efficiency of the computation and enhanced the accuracy of positioning in the seven-element acoustic array.

     

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