计算机工程与应用2017，Vol.53Issue(8)：50-56,7.DOI:10.3778/j.issn.1002-8331.1511-0024
利用外辐射源的TDOA和FDOA目标定位算法
TDOA and FDOA location algorithm using illuminators of opportunity
摘要
Abstract
To solve the single-observer passive location estimation using illuminators of opportunity, a jointing TDOA and FDOA location algorithm based on maximum likelihood is proposed. Firstly, according to the TDOA and FDOA mea-surement equations, the maximum likelihood model is constructed. Then Newton's method is applied to solve the maximum likelihood model to obtain the estimation of the target position and velocity. The initial iteration value is given by a Least Squares(LS)algorithm. The Cramer-Rao Lower Bound(CRLB)and the theoretical error of the proposed algorithm are also derived and they are proved equal. Simulation results show that the proposed algorithm has higher estimation accuracy than the Two-Step Weighting Least Squares(TSWLS)algorithm and the Constrained Total Least Squares(CTLS)algorithm, which makes it possible to achieve the CRLB at moderate noise level before the threshold effect occurs. Moreover, from the Geometric Dilution Of Precision(GDOP)figure, it concludes target position, illuminator number and position are also important factors affecting the localization accuracy.关键词
无源定位/到达时差/到达频差/最大似然/牛顿迭代/最小二乘Key words
passive location/Time Difference Of Arrival(TDOA)/Frequency Difference Of Arrival(FDOA)/Maximum Likelihood(ML)/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,赵闯,赵拥军..利用外辐射源的TDOA和FDOA目标定位算法[J].计算机工程与应用,2017,53(8):50-56,7.基金项目
国家自然科学基金(No.61401469,No.61501513) （No.61401469,No.61501513）
国家高技术研究发展计划(863)(No.2012AA7031015). （863）
