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基于能量UWSAN的最大似然目标定位 被引量:2

A New and Better Method for Obtaining Source Location in Underwater Wireless Sensor Array Network(UWSAN) Using Acoustic Energy Received by Each Array
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摘要 文章针对低信噪比下的水下目标定位问题,建立了水下无线传感器阵列网络,该结构包括多个分布式声传感器阵列,它适应于多模态信号处理,既可以利用目标的方位信息,又可以用能量信息。文中提出了用每个阵列接收到的信号能量作为参量完成目标定位并推导了基于能量的最大似然比目标定位方法。数值仿真表明:基于该结构的能量似然函数定位方法,可以有效估计目标的位置,并且比单阵元网络的定位性能和信息传输率上有了较大的提高,尤其是在低信噪比下情况下,可以大大减小估计的方差。 Aim.The introduction of the full paper reviews some references in the open literature,points out what we believe to be their shortcomings and then proposes a novel UWSAN architecture that consists of multiple distributed arrays of acoustic sensors for achieving the source location.Sections 1 and 2 explain our method using the novel architecture;their core consists of:(1) we give Fig.1 to show the UWSAN architecture,which we believe can facilitate multi-modal acoustic signal processing;(2) we develop the method of source location using the acoustic energy received by each array:(3) we derive eq.(9) for estimating the source location of a target with the maximum likelihood(ML) method.Section 3 presents a numerical simulation example;the simulation results,given in Figs.2 through 6,and their analysis demonstrate preliminarily that our method is effective for obtaining source location and that,compared with the single sensor underwater WSN,our method has a better performance of source location,especially when SNR(signal to noise ratio) is low.
作者 马艳 石星
出处 《西北工业大学学报》 EI CAS CSCD 北大核心 2010年第6期824-828,共5页 Journal of Northwestern Polytechnical University
基金 陕西省自然基金(2010JM8010)资助
关键词 水下无线传感器阵列网络 最大似然估计 目标定位 声能量 signal to noise ratio wireless sensor networks maximum likelihood estimation source location acoustic energy
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参考文献8

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