Moving targets TDOA/FDOA passive localization algorithm based on localization error refinement

被引:0
作者
Liu, Yang [1 ]
Yang, Le [1 ,2 ]
Guo, Fucheng [1 ]
Jiang, Wenli [1 ]
机构
[1] College of Electronic Science and Engineering, National University of Defense Technology, Changsha
[2] School of Internet of Things Engineering, Jiangnan University, Wuxi
来源
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2015年 / 36卷 / 05期
基金
中国国家自然科学基金;
关键词
Frequency difference of arrival; Localization; Taylor-series; Time difference of arrival; Weighted least squares;
D O I
10.7527/S1000-6893.2015.0010
中图分类号
学科分类号
摘要
For the two-stage weighted least squares (TSWLS) technique of passive source localization using time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements, which has the problem that the root mean square error (RMSE) and localization bias is large as the measurement noise increases. Based on analyzing the factor influencing the performances of the TSWLS firstly and then improves the TSWLS via Taylor-series (TS) expansion technique. The first stage of the new algorithm is the same as the one of TSWLS. At the second stage of the new algorithm, the localization error of the first stage is identified through utilizing the first-order Taylor-series expansion. Through updating the first-stage localization error, the final localization output is obtained. Theoretical performance analysis shows that the proposed estimator can attain the Cramer-Rao lower bound (CRLB) accuracy. Computer simulations are used to contrast the new technique with the TSWLS algorithm, the iterative maximum likelihood method based on TS and the constrained total least squares (CTLS) algorithm in terms of their localization RMSE and the localization bias. The new algorithm whose complexity is almost the same as TSWLS, the RMSE and localization bias are lower than TSWLS, TS and CTLS algorithm. ©, 2015, AAAS Press of Chinese Society of Aeronautics and Astronautics. All right
引用
收藏
页码:1617 / 1626
页数:9
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