面向声源定位的改进广义互相关时延估计方法  被引量:9

Improved Generalized Cross-Correlation Time Delay Estimation Method for Sound Source Localization

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作  者:屈顺彪 俞华 芦竹茂 申冲[1,4] 韩钰 王晨光 QU Shun-biao;YU Hua;LU Zhu-mao;SHEN Chong;HAN Yu;WANG Chen-guang(Key Laboratory of Instrumentation Science and Dynamic Measurement Ministry of China,North University of China,Taiyuan 030051,China;State Grid Shanxi Electric Power Research Institute,Taiyuan 030001,China;School of Information and Communication Engineering,North University of China,Taiyuan 030051,China;School of Instrument and Electronic,North University of China,Taiyuan 030051,China)

机构地区:[1]中北大学仪器科学与动态测试教育部重点实验室,太原030051 [2]国网山西省电力公司电力科学研究院,太原030001 [3]中北大学信息与通信工程学院,太原030051 [4]中北大学仪器与电子学院,太原030051

出  处:《导航定位与授时》2021年第6期118-124,共7页Navigation Positioning and Timing

基  金:国网山西省电力公司科技项目(52053018000T)。

摘  要:面向以数字微机电系统(MEMS)麦克风作为声传感器的声源定位阵列,完成了前端麦克风阵列的电路设计和以现场可编程逻辑门阵列(FPGA)为核心的数据采集系统的开发,并对麦克风输出的脉冲密度调制信号进行了降采样处理。针对传统的广义互相关算法在低信噪比下时延估计误差较大的问题,提出了一种改进PHAT加权函数的方法。在同等条件下对基于不同加权函数的广义互相关算法进行了MATLAB仿真验证,实验结果表明,在低信噪比条件下该方法相较于传统的广义互相关算法,时延估计误差更小且抗噪性能更强。For the sound source localization array with digital MEMS microphone as the acoustic sensor,the circuit design of the front-end microphone array and the development of the data acquisition system with FPGA as the core are completed,and the down-sampling processing of the pulse density modulation signal output by the microphone is completed.Aiming at the problem that the traditional generalized cross-correlation algorithm has a large time delay estimation error under low signal-to-noise ratio,a method to improve the PHAT weighting function is proposed.Under the same conditions,the generalized cross-correlation algorithm based on different weigh-ting functions is verified by MATLAB simulation.The experimental results show that compared with the traditional generalized cross-correlation algorithm,this method has smaller time delay estimation error and stronger anti-noise performance under low signal-to-noise ratio conditions.

关 键 词:MEMS麦克风 FPGA 广义互相关算法 时延估计 加权函数 

分 类 号:TN911.7[电子电信—通信与信息系统]

 

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