数据采集与处理2017，Vol.32Issue(5)：898-905,8.DOI:10.16337/j.1004-9037.2017.05.006
利用时差的单站无源相干定位最大似然算法
Maximum Likelihood Algorithm for Single-Observer Passive Coherent Location Using TDOA Measurements
摘要
Abstract
To solve the single-observer passive location estimation using multiple illuminators of opportunity,a time difference of arrival(TDOA) location algorithm based on maximum likelihood is proposed.Firstly,according to the functional relationship between the TDOA measurements and the target location,the likelihood function of the target location is constructed.Then Newton's method is applied to obtain the global maximum of the nonlinear likelihood function and determine the target position.The least squares solution of the target location is derived and used as the initial guess of the Newton's method.Finally,the theoretical error and the Cramer Rao Lower Bound (CRLB) are also derived and proved to be equal.Simulation results demonstrate that the proposed algorithm outperforms existing algorithms and achieves the CRLB at moderate noise level.Moreover,from the geometric dilution of precision figure,the influence of target position,illuminator number and position on the localization accuracy is analyzed.关键词
最大似然/单站/无源定位/时差/牛顿迭代/最小二乘Key words
maximum likelihood (ML)/single-observer/passive location/time difference of arrival(TDOA)/Newton's method/least squares (LS)分类
信息技术与安全科学引用本文复制引用
赵勇胜,宋艳,赵拥军,赵闯..利用时差的单站无源相干定位最大似然算法[J].数据采集与处理,2017,32(5):898-905,8.基金项目
国家自然科学基金(61401469)资助项目 （61401469）
国家高技术研究发展计划(2012AA7031015)资助项目. （2012AA7031015）
