雷达学报2016，Vol.5Issue(3)：302-311,10.DOI:10.12000/JR15133
联合角度和时差的单站无源相干定位加权最小二乘算法
Weighted Least Squares Algorithm for Single-observer Passive Coherent Location Using DOA and TDOA Measurements
摘要
Abstract
In order to determine single-observer passive coherent locations using illuminators of opportunity, we propose a jointing angle and Time Difference Of Arrival (TDOA) Weighted Least Squares (WLS) location method. First, we linearize the DOA and TDOA measurement equations. We establish the localization problem as the WLS optimization model by considering the errors in the location equations. Then, we iteratively solve the WLS optimization. Finally, we conduct a performance analysis of the proposed method. Simulation results show that, unlike the TDOA-only method, which needs at least three illuminators to locate a target, the jointing DOA and TDOA method requires only one illuminator. It also has a higher localization accuracy than the TDOA-only method when using the same number of illuminators. The proposed method yields a lower mean square error than the least squares algorithm, which makes it possible to approach the Cramér-Rao lower bound at a relatively high TDOA noise level. Moreover, on the basis of the geometric dilution of precision, we conclude that the positions of the target and illuminators are also important factors affecting the localization accuracy.关键词
角度/时差/无源定位/外辐射源/加权最小二乘Key words
Difference Of Arrival (DOA)/Time Difference Of Arrival (TDOA)/Passive location/Illuminator of opportunity/Weighted Least Squares (WLS)分类
信息技术与安全科学引用本文复制引用
赵勇胜,赵拥军,赵闯..联合角度和时差的单站无源相干定位加权最小二乘算法[J].雷达学报,2016,5(3):302-311,10.基金项目
国家高技术研究发展计划(2012AA7031015)，国家自然科学基金(61401469,41301481,61501513) Foundation Items：The National High Technology Research and Development Program of China (2012AA7031015), The National Natural Science Foundation of China (61401469,41301481,61501513) （2012AA7031015）
