首页> 外文会议>MIC;International Conference on Measurement, Information and Control >Research on acoustic source localization using time difference of arrival measurements
【24h】

Research on acoustic source localization using time difference of arrival measurements

机译:基于到达时间差的声源定位研究

获取原文

摘要

Time difference of arrival (TDOA) technology has been widely used in positioning and navigation system recently. This paper first introduces and analyzes the basic principle of acoustic source localization using time difference of arrival (TDOA) measurements. Time difference measurement is a key problem in TDOA location method for its accuracy directly determines the position estimation accuracy of the location system. Generalized cross-correlation (GCC) method can weaken the impact of noise on the delay estimation accuracy so this method is adopted in the paper to obtain TDOA measurement by detecting the peak position of the correlation function of two signals. Through the analysis of TDOA location algorithm, an improved Taylor algorithm with 10 iterations is proposed to solve the location coordinate of the acoustic source. This algorithm can achieve a higher accuracy with relatively smaller calculation. In order to forecast system performance, MATLAB simulations are realized for an acoustic source localization system using microphone array. Finally, the implementation of location system and actual test results are presented. In the actual environment, positioning errors are within 3 cm with microphone array element spacing of 50 cm and it is shown the implemented system can be applied to acoustic source localization.
机译:到达时间差(TDOA)技术最近已广泛用于定位和导航系统中。本文首先介绍并分析了到达时差(TDOA)测量对声源定位的基本原理。时差测量是TDOA定位方法中的关键问题,因为其精度直接决定了定位系统的位置估计精度。广义互相关(GCC)方法可以减弱噪声对延迟估计精度的影响,因此本文采用此方法通过检测两个信号的相关函数的峰值位置来获得TDOA测量值。通过对TDOA定位算法的分析,提出了一种经过10次迭代的改进泰勒算法来求解声源的定位坐标。该算法可以通过较小的计算获得较高的精度。为了预测系统性能,针对使用麦克风阵列的声源定位系统实现了MATLAB仿真。最后,给出了定位系统的实现和实际测试结果。在实际环境中,麦克风阵列元件的间距为50 cm,定位误差在3 cm以内,这表明所实施的系统可以应用于声源定位。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号