一种简单有效的TDOA-FDOA-AOA目标定位闭式解

doi:10.3969/j.issn.1001-2400.2018.02.029

Abstract

Abstract:

This paper proposes a simple and efficient closed-form solution for a moving source localization using the time difference of arrival(TDOA), frequency difference of arrival(FDOA) and angle of arrival(AOA) measurements obtained at spatially distributed moving receivers. The developed method first converts nonlinear TDOA, FDOA and AOA equations into linear ones by the localization geometry relation, and then obtains the final source status estimate using the weighted least squares(WLS) technique. Theoretical analysis and simulations verify the approximate efficiency of the developed positioning technique and its improved performance over the benchmark iterative method.

Key words: passive localization, time difference of arrival(TDOA), frequency difference of arrival(FDOA), angle of arrival(AOA), Cramer-Rao lower bound(CRLB)

DENG Bing;SUN Zhengbo;YANG Le. Efficient closed-form estimator for TDOA-FDOA-AOA localization[J].Journal of Xidian University, 2018, 45(2): 171-175+180.

References

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[1]	DENG Bing;SUN Zhengbo;YANG Le;HE Qing. TDOA localization with linear-correction in the presence of sensor position errors [J]. Journal of Xidian University, 2017, 44(4): 106-111.
[2]	ZHOU Cheng;HUANG Gaoming;GAO Jun. Optimum sensor array for passive localization from time differences of arrival [J]. Journal of Xidian University, 2016, 43(4): 123-127.
[3]	XING Tianzhang;WANG Ju;CHEN Xiaojiang;FANG Dingyi;YANG Zhe. Heterogeneous data synergistic location method in the WSN [J]. J4, 2014, 41(5): 197-202.
[4]	LI Xiao-jie;XU Lu-ping;ZHOU Xue-song. High accuracy complex sinusoid frequency estimator in low SNR environment [J]. J4, 2009, 36(6): 1010-1014+1020.

Efficient closed-form estimator for TDOA-FDOA-AOA localization

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