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一种二元探测传感器网络目标跟踪算法
引用本文:李煜,程远国,杨露菁.一种二元探测传感器网络目标跟踪算法[J].传感技术学报,2008,21(11).
作者姓名:李煜  程远国  杨露菁
作者单位:1. 海军工程大学电子工程学院,武汉,430033
2. 海军工程大学电子工程学院,武汉,430033;华中科技大学计算机科学与技术学院,武汉,430047
基金项目:国家高技术研究发展计划(863计划),湖北省自然科学基金
摘    要:针对二元探测传感器网络目标定位与跟踪问题,提出一种递推的质心定位方法,推导出了质心定位算法的递推公式。采用序贯最小二乘估计方法,提出了基于递推计算的质心定位结果进行目标跟踪的算法。算法以简单的观测噪声模型体现系统的测量和计算误差,利用序贯最小二乘算法的可变增益,提高了跟踪精度;算法不需要先验统计信息以及序贯式的处理方式等因素,降低了算法的计算复杂度。仿真结果验证了递推公式的正确性和跟踪算法的有效性。

关 键 词:传感器网络  目标跟踪  二元探测  质心算法  最小二乘估计

An Object Tracking Algorithm for Binary Sensor Networks
Li Yu,Cheng Yuanguo,Yang Lujing.An Object Tracking Algorithm for Binary Sensor Networks[J].Journal of Transduction Technology,2008,21(11).
Authors:Li Yu  Cheng Yuanguo  Yang Lujing
Abstract:Aiming at the issue of object localizing and object tracking by binary sensor networks,a localization approach based on centroid algorithm is presented.A recursive computing formula for centroid algorithm has also been deduced.Further than that an object tracking algorithm is presented,which is based on the localization results and employs a sequential least square estimation method.This algorithm enhances its tracking accuracy by adopting a simple observed noise model to represent the measure errors and the computation errors,and employing a variable benefit of least square estimation to improve tracking precision.Considering the factors such as sequential computation idea and no prior statistical information,this tracking method deceases the computation complexity.Simulations demonstrate the validity of the recursive formula and the tracking algorithm.
Keywords:sensor networks  object tracking  binary detection  centroid algorithm  least squares estimation
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