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校正源条件下基于双星序列观测量的地面运动目标定位算法及理论性能分析
引用本文:王 鼎,张 莉,吴 瑛. 校正源条件下基于双星序列观测量的地面运动目标定位算法及理论性能分析[J]. 通信学报, 2015, 36(10): 62-75. DOI: 10.11959/j.issn.1000-436x.2015266
作者姓名:王 鼎  张 莉  吴 瑛
基金项目:The National Natural Science Foundation of China
摘    要:


Moving source geolocation algorithm and performance analysis using dual-satellites sequence measurements and calibration sources
Ding WANG,Li ZHANG,Ying WU. Moving source geolocation algorithm and performance analysis using dual-satellites sequence measurements and calibration sources[J]. Journal on Communications, 2015, 36(10): 62-75. DOI: 10.11959/j.issn.1000-436x.2015266
Authors:Ding WANG  Li ZHANG  Ying WU
Affiliation:School of Information Systems Engineering,PLA Information Engineering University,Zhengzhou 450001,China
Abstract:The method for locating a moving source on earth using a sequence of time difference of arrival(TDOA)and frequency difference of arrival(FDOA)measurements pairs obtained by dual-satellites was presented in the presence of calibration sources with accurate positions.First,the difference calibration(DC)location algorithm aiming to the mobile target was derived,and its theoretical performance was also analytically derived.The result demonstrates that the DC localization variance could not reach the CRB,although it could eliminate the location bias produced by the position and velocity errors of the dual-satellites.For this reason,a two-step optimal association location algorithm was proposed,and its theoretical performance was proved to be equal to the CRB.Finally,a variety of numerical experiments are performed to corroborate the superiority of the geolocation algorithms and the effectiveness of the performance analysis.
Keywords:dual-satellite geolocation  time difference of arrival(TDOA)  frequency difference of arrival(FDOA)  Cramér-Rao bound(CRB)  Taylor-series iteration  
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