文档介绍：
基于非线性归还模型的分布式声定位算法
研究#
5
10
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。
关键词:分布式;目标声源;定位精度;非线性规划模型
中图分类号:
15
A distributed sound localization algorithm based on
nonlinear programming model.
Chen Jianfeng, Ye Yong
(College of marine,Northwestern Polytechnical University)
20
25
Abstract: Using distributed microphone array to locate the target sound source, least-squares
algorithm is often used in order to make the locating errors smallest. However, the algorithm led
to the sound source is farther away from the target node locating results but larger. If the priority
to select the node from the target sound source closer to the operator in order to improve location
accuracy, but also will inevitably lead to waste of some node information. Therefore nonlinear
programming model for distributed acoustic location is founded. The results show that the remote
node on the location accuracy is smaller than the least squares method; and this method can
effectively improve the location accuracy when a small number of available nodes in the
monitoring area.
Key words: distributed; target sound source; location accuracy; nonlinear programming model
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0 引言
随着无线传感