An Efficient Algebraic Solution for Moving Source Localization from Quadruple Hybrid Measurements
An Efficient Algebraic Solution for Moving Source Localization from Quadruple Hybrid Measurements作者机构：Henan High-Speed Railway Operation and Technological Research Center PLA Strategic Support Force Information Engineering University
出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))
年 卷 期：2022年第31卷第2期
页 面：255-265页
核心收录：
学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学]
基 金：supported by the Henan Province Science and Technology Project (212102210564) the Open Fund Project of Scientific Research Platform of Zhengzhou Railway Vocational and Technical College(2021KFJJ002)
主 题：Source localization Time difference of arrival Frequency difference of arrival Angle of arrival Angle rate
摘 要：This paper deals with the 3-D moving source localization using time difference of arrival(TDOA), frequency difference of arrival(FDOA), angle of arrival(AOA) and AOA rate measurements, gathered from a set of spatially distributed receivers. The TDOA,FDOA, AOA and AOA rate measurement equations were firstly established according to the space geometric relationship of the source relative to the receivers. Then an efficient closed-form algorithm for source position and velocity estimation from the quadruple hybrid measurements was proposed. The proposed algorithm converts the nonlinear measurement equations into a linear set of equations, which can then be used to estimate the source position and velocity applying weighted least square(WLS) minimization. In contrast to existing two-stage WLS algorithms, the proposed algorithm does not introduce any nuisance parameters and requires merely onestage, which enables for source localization with the fewest receivers necessary. Theoretical accuracy analysis shows that the proposed algorithm reaches the CramerRao lower bound, and simulation studies corroborate the efficiency and superiority of the proposed algorithm over other algorithms.
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