| 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。 |
| 关键词: MEMS麦克风 FPGA 广义互相关算法 时延估计 加权函数 |
| DOI： |
|
| 基金项目:国网山西省电力公司科技项目（52053018000T） |
|
| Improved Generalized Cross-Correlation Time Delay Estimation Method for Sound Source Localization |
| 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;School of Information and Communication Engineering, North University of China, Taiyuan 030051, China;State Grid Shanxi Electric Power Research Institute,Taiyuan 030001, China;School of Instrument and Electronic, North University of China, Taiyuan 030051, China) |
| Abstract: |
| 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. |
| Key words: MEMS microphone FPGA Generalized cross-correlation algorithm Delay estimation Weighting function |
