【作者】 周鹤峰； 田章福； 曾旸； 龚昌超； 曾新吾； 蒋伟康；

【Author】 ZHOU Hefeng;TIAN Zhangfu;ZENG Yang;GONG Changchao;ZENG Xinwu;JIANG Weikang;College of Meteorology and Oceanology, National University of Defense Technology;State Key Laboratory of Mechanical System and Vibration, Shanghai Jiaotong University;

【机构】 国防科技大学气象海洋学院； 上海交通大学机械系统与振动国家重点实验室；

【摘要】 时延估计是一种广泛应用的声定位技术。基于广义互相关算法的时延估计方法通过引入加权函数来增强声信号中的有效成分,从而提高时延估计的精度。当信噪比较低时,传统的加权函数难以有效抑制噪声干扰,导致时延估计的误差变大。针对该问题提出了一种改进的基于广义互相关算法的时延估计方法,该方法采用了新型的混合加权函数。数值仿真结果表明,在不同信噪比条件下,改进方法的时延估计精度均高于利用传统加权函数的时延估计方法。更多还原

【Abstract】 Time delay estimation is a widely used acoustic localization technique. In order to improves the accuracy of time-delay estimation, a weighting function is introduced into the time delay estimation method based on generalized cross correlation algorithm to enhance the effective components in the acoustic signal. When the signal-to-noise ratio is relatively low, the traditional weighting functions are difficult effectively suppress the noise interference, leading to a large error of time delay estimation. To solve this problem, an improved time delay estimation method based on generalized cross correlation algorithm is proposed, which adopts a new hybrid weighting function. Numerical simulation results show that the time delay estimation accuracy of the improved method is higher than that using the traditional weighted function under different SNR conditions.更多还原