Improved Gaussian particle tracking algorithm based on microphone array networks

JIANG Xiao-xiao; YANG Xu-guang; ZHAO Lu-yang; WANG Ying-guan

doi:10.13873/j.1000-97872012.03.017

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Improved Gaussian particle tracking algorithm based on microphone array networks

更新时间：2025-09-11

- Improved Gaussian particle tracking algorithm based on microphone array networks
- Vol. 31, Issue 3, Pages: 56-59+62(2012)
- 作者机构：
  
  中国科学院上海微系统与信息技术研究所无线传感器网络与通信重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872012.03.017
  CLC： TN713;TP212.9
- Published：2012
- 稿件说明：
移动端阅览
[1]江潇潇,杨旭光,赵鲁阳,王营冠.基于传声器阵列网络的改进高斯粒子跟踪算法[J].传感器与微系统,2012,31(03):56-59+62.

JIANG Xiao-xiao, YANG Xu-guang, ZHAO Lu-yang, et al. Improved Gaussian particle tracking algorithm based on microphone array networks[J]. 2012, 31(3): 56-59+62.
[1]江潇潇,杨旭光,赵鲁阳,王营冠.基于传声器阵列网络的改进高斯粒子跟踪算法[J].传感器与微系统,2012,31(03):56-59+62. DOI： 10.13873/j.1000-97872012.03.017.

JIANG Xiao-xiao, YANG Xu-guang, ZHAO Lu-yang, et al. Improved Gaussian particle tracking algorithm based on microphone array networks[J]. 2012, 31(3): 56-59+62. DOI： 10.13873/j.1000-97872012.03.017.

摘要

针对传声器阵列网络中目标跟踪的特点

建立了基于声阵列网络的目标跟踪模型

在此基础上

提出了一种改进的高斯粒子滤波（GPF）算法。该算法将扩展卡尔曼滤波的状态更新方法引入到GPF算法中

并通过直接更新状态量的高斯分布参数来取代传统GPF中逐个更新粒子的方法。通过蒙特—卡罗仿真结果表明:与扩展卡尔曼粒子滤波（EPF）和传统的GPF算法相比

该算法表现出较高的精度和稳定性。

Abstract

Aiming at the characteristic of target tracking in microphone array networks

a new algorithm of improved Gaussian particle filter（GPF） is presented.The algorithm updates Gaussian distribution parameters of the particle with extended Kalman particle filter（EPF） rather than update all particles one by one in traditional GPF.Compared with EPF and GPF

the results of Monte-Carlo simulations demonstrate that the proposed new algorithm has higher precision and stability.

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Keywords

references

基于水声传感器网络的目标纯方位运动分析 [J]. 王彪,曾庆军,解志斌,黄海宁. 中国造船 . 2011(01)

On sequential Monte Carlo sampling methods for Bayesian filtering. [J] . Arnaud Doucet,Simon Godsill,Christophe Andrieu. Statistics and Computing . 2000 (3)

Bayesian Forecasting [J] . P. J. Harrison,C. F. Stevens. Journal of the Royal Statistical Society. Series . 1976 (3)

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