| 摘要: |
| 提出了一种基于目标辅助的声阵列网络自定位机制.该自定位机制主要有两种形式:基于静态目标辅助的自定位和移动目标辅助的自定位.对于静态目标辅助的自定位,节点根据所测得DOA,通过伪线性最小二乘法首先由信标节点来定位静态目标,然后再用BML算法由静态目标来定位未知节点;对于移动目标辅助定位,采用BML,PCML和RML这3种算法实现自定位并作对比分析.通过MATLAB仿真可知,静态目标数目的增加有利于定位精度的提高.在信标快速移动情况下,PCML和RML对声音传播延时进行了补偿,有利于提高定位精度.最后再采用实验数据论证了该机制的可行性. |
| 关键词: 无线传感器网络 声阵列 自定位 波达方向 最大似然估计 |
| DOI： |
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| 基金项目:国家自然科学基金(60873223,90818010,11174316);浙江省科技厅国际合作项目(2009C34002);浙江省文物局文物保护科技项目(2070204);中国科学院无线传感网与通信重点实验室开放课题(2011001) |
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| Self-Localization Mechanism for Acoustic Array Network Based on Target Assistance under the Limited Beacons |
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XUE Hai-Liang1,2, SHAO Hua-Jie1, WANG Zhi1, LI Yuan-Shi1, LUO Ji-An1, BAO Ming2, FENG Da-Hang2
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1.Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China;2.Institute of Acoustic, The Chinese Academy of Sciences, Beijing 100190, China
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| Abstract: |
| A mechanism based on target assistance is proposed in this paper.This mechanism is mainly divided into two forms:static target assistance based self-localization mechanism and mobile target assistance based self-localization mechanism.The former,according to the measured DOA by nodes,first beacons through the pseudo-linear least square method to locate the static targets.Next,the unknown nodes are located by previously located static targets through BML.For the latter,BML,PCML and RML three algorithms are adopted in the self-localization and have been compared among themselves.From the MATLAB simulation results,the increasing the number of static targets contributes to an improvement of accuracy.PCML and RML can compensate the delay of sound propogation and increase the accuracy of localization when the target with a high speed.Finally,the feasibility of this mechanism is validated by experimental datas. |
| Key words: WSN accoustic array self-localization DOA Maximum Likelihood |
