电子学报Issue(10)：1888-1897,10.DOI:10.3969/j.issn.0372-2112.2015.10.002
基于 TDOAs 与 FDOAs 的多信号源及感知节点联合定位算法
Joint Multiple Disjoint Sources and Sensors Localization Based on TDOAs and FDOAs
摘要
Abstract
In the presence of sensor position and velocity errors,this paper considers the problem of simultaneously locating multiple disjoint sources and refining erroneous of sensor positions and velocities using time differences of arrival (TDOA)and fre-quency differences of arrival (FDOA).The previous work by Sun and Ho to solve this problem provided an efficient estimator for multiple disjoint sources,but it cannot provide optimum accuracy for the sensor positions and sensor velocities.In many practical ap-plications,it’s necessary and helpful to refine sensor locations and velocities while localizing multiple sources.The proposed method improves the previous method so that both the source and the sensor position and velocity estimates can achieve the Cramér-Rao lower bound (CRLB)accuracy very well over small noise region.The theoretical derivation is corroborated by simulations.关键词
到达时间差/到达频率差/多信号源/被动定位/节点位置及速度误差Key words
time differences of arrival (TDOAs)/frequency differences of arrival (FDOAs)/multiple sources/passive lo-calization/sensor position and velocity errors分类
信息技术与安全科学引用本文复制引用
郝本建,朱建峰,李赞,肖嵩,关磊,万鹏武..基于 TDOAs 与 FDOAs 的多信号源及感知节点联合定位算法[J].电子学报,2015,(10):1888-1897,10.基金项目
国家自然科学基金（No．61401323，No．61301179）；中国博士后科学基金（No．2014M550479）；西安电子科技大学基本科研业务费 （）
