基于传感器节点选择的声源定位算法研究  

Research on Sound Source Localization Algorithm Based on Sensor Node Selection

作　　者：冯玉武 胡国华 洪蕾 Feng Yuwu;Hu Guohua;Hong Lei(School of Advanced Manufacturing Engineering,Hefei University,Hefei,Anhui 230601,China)

机构地区：[1]合肥大学先进制造工程学院,安徽合肥230601

出　　处：《黑龙江工业学院学报(综合版)》2025年第2期114-118,共5页Journal of Heilongjiang University of Technology(Comprehensive Edition)

基　　金：安徽省高校自然科学研究项目“基于神经网络算法与分布式结构的低功耗功声源定位方法研究”(项目编号:2023AH052187);安徽省高等学校省级质量工程项目“基于新工科与工程教育认证背景下通信工程专业工程能力培养模式改革与创新”(项目编号:2022sx128);合肥大学质量工程项目“工程教育认证背景下通信原理实验教学改革探索”(项目编号:2023hfujyyb08)。

摘　　要：为了减少能量消耗,提出了基于传感器节点选择的声源定位算法。采用了基于广义信息增益的传感器选择方法,以选择能够提供可靠测量的传感器节点子集。基于广义信息增益的传感器选择方法中应用了等价的卡尔曼滤波器,此滤波器结构只依赖于布尔决策变量,可以充分利用测量噪声的结构,进而选择更少的传感器节点完成声源定位,达成节省能量的目的。最后通过仿真实验对所提算法进行了验证。In order to reduce energy consumption,this paper proposes a sound source localization algorithm based on sensor node selection.This article adopts a sensor selection method based on generalized information gain to select a subset of sensor nodes that can provide reliable measurements.In the sensor selection method based on generalized information gain,an equivalent Kalman filter is applied.This filter structure only relies on Boolean decision variables,which can fully utilize the structure of measuring noise and select fewer sensor nodes to complete sound source localization,achieving the goal of energy savings.Finally,the proposed algorithm is validated through simulation experiments.

关 键 词：无线传感器网络 声源定位 传感器选择 能量消耗 

分 类 号：TN929.5[电子电信—通信与信息系统]