Research on distributed sound localization algorithm based on nonlinear programming model

YE Yong; CHEN Jian-feng; ZHANG Zhu; LENG Xin

doi:10.13873/j.1000-97872013.02.001

Chinese

您当前的位置：

首页 >

文章列表页 >

Research on distributed sound localization algorithm based on nonlinear programming model

更新时间：2025-09-11

- Research on distributed sound localization algorithm based on nonlinear programming model
- Vol. 32, Issue 2, Pages: 46-49(2013)
- 作者机构：
  
  西北工业大学航海学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872013.02.001
  CLC： TN929.5;O221.2;TP212.9
- Published：2013
- 稿件说明：
移动端阅览
[1]叶永,陈建峰,张竹,冷欣.基于非线性规划模型的分布式声定位算法研究[J].传感器与微系统,2013,32(02):46-49.

YE Yong, CHEN Jian-feng, ZHANG Zhu, et al. Research on distributed sound localization algorithm based on nonlinear programming model[J]. 2013, 32(2): 46-49.
[1]叶永,陈建峰,张竹,冷欣.基于非线性规划模型的分布式声定位算法研究[J].传感器与微系统,2013,32(02):46-49. DOI： 10.13873/j.1000-97872013.02.001.

YE Yong, CHEN Jian-feng, ZHANG Zhu, et al. Research on distributed sound localization algorithm based on nonlinear programming model[J]. 2013, 32(2): 46-49. DOI： 10.13873/j.1000-97872013.02.001.

摘要

在使用分布式麦克风阵列对目标声源进行定位时

为使定位误差达到最小

目前常采用最小二乘估计算法。但该算法会导致距目标声源越远的节点对定位结果的影响反而会越大

如果优先选取距目标声源较近的节点进行运算

又会造成未参与运算的节点定向信息的浪费。针对此问题

利用非线性规划理论

建立分布式声定位的非线性规划模型。仿真结果表明:采用非线性规划模型后

距目标声源较远的节点对定位精度的影响比最小二乘法小;当监测区域内可用节点数目较少时

此方法能有效提高定位精度。

Abstract

While using distributed microphone array to locate target sound source

least-square estimation algorithm is often used in order to make the locating errors smallest.However

the algorithm can lead to the more farther away the node from target sound source

the larger effect on locating results.If the priority to select the node closer to the target sound source to calculate

but will inevitably lead to waste localization information of some node

which doesn’t participate in operation.Aiming at this problem

nonlinear programming model for distributed acoustic location is founded.Simulation results show that the effect of remote node farther away from the target sound source on localization precision is smaller than the least squares method;and this method can effectively improve localization precision when a small number of nodes in the monitoring area is available.

关键词

Keywords

references

一种多传感器信息融合的可能性关联方法 [J]. 周新宇,杨风暴,吉琳娜,李香亭. 传感器与微系统 . 2012(04)

十字阵短时宽带声源实时定向算法 [J]. 程萍,陈建峰,马驰,张竹. 应用声学 . 2012(02)

约束最小二乘无源定位算法的求解与分析 [J]. 李淳,刘聪锋,廖桂生,李艳斌. 系统工程与电子技术 . 2012(02)

基于线性最小二乘估计的双基地声纳定位优化算法 [J]. 刘若辰,王英民,张群. 鱼雷技术 . 2011(06)

无线传感器网络中的节点自适应周期定位 [J]. 张晓芳,李国徽,王娟华. 计算机工程与应用 . 2011(29)

基于加权最小二乘的多基地声呐定位算法研究 [J]. 张小凤,应欢. 计算机仿真 . 2011(08)

基于传感器网络的水下声音源定位方法研究 [J]. 徐建华,任超. 计算机测量与控制 . 2011(07)

水声传感器网络目标协同定位方法研究 [J]. 王彪,李宇,黄海宁. 系统仿真学报 . 2009(19)

一种多基地声纳的联合估计定位算法 [J]. 孙勇,赵俊渭,张银兵,张小凤. 鱼雷技术 . 2009(02)

分布式实时被动声定位系统研究 [J]. 马驰州,滕鹏晓,杨亦春,尹力. 探测与控制学报 . 2007(01)

无源定位技术研究 [D]. 高为. 上海交通大学 2006

Views

188

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Design of distributed bridge monitoring system based on LoRa wireless communication

Temperature compensation acoustic localization algorithm based on nine-element stereo array

WSNs train positioning algorithm based on new anchor sensor nodes

Distributed air conditioning control system for new energy vehicles

Mutual coupling calibration algorithm for opportunity type electromagnetic vector sensor array

Related Author

GU Zhenzong

YAO Di

ZHANG Zerui

ZHAO Yanming

LI Quanjie

CUI Weili

CUI Linlin

ZHANG Jian

Related Institution

School of Information and Electrical Engineering,Hunan University of Science and Technology

School of Computer Science,Zhongyuan University of Technology

School of Mechatronics Engineering,Zhongyuan University of Technology

School of Electronic and Information Engineering, Lanzhou Jiaotong University

Wuxi PuOu Electronics Co Ltd

⁰