An Efficient Algebraic Solution for Moving Source Localization from Quadruple Hybrid Measurements

DING Ting; ZHAO Yongsheng; ZHAO Yongjun

doi:10.1049/cje.2020.00.410

Volume 31 Issue 2

Mar. 2022

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DING Ting, ZHAO Yongsheng, ZHAO Yongjun, “An Efficient Algebraic Solution for Moving Source Localization from Quadruple Hybrid Measurements,” Chinese Journal of Electronics, vol. 31, no. 2, pp. 255-265, 2022, doi: 10.1049/cje.2020.00.410

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DING Ting, ZHAO Yongsheng, ZHAO Yongjun, “An Efficient Algebraic Solution for Moving Source Localization from Quadruple Hybrid Measurements,” Chinese Journal of Electronics, vol. 31, no. 2, pp. 255-265, 2022, doi: 10.1049/cje.2020.00.410

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An Efficient Algebraic Solution for Moving Source Localization from Quadruple Hybrid Measurements

doi: 10.1049/cje.2020.00.410

1.
Henan High-Speed Railway Operation and Technological Research Center, Zhengzhou 450000, China
2.
PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China

Funds: This work was supported by the Henan Province Science and Technology Project (212102210564) and the Open Fund Project of Scientific Research Platform of Zhengzhou Railway Vocational and Technical College (2021KFJJ002)

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Author Bio:
(corresponding author) was born in 1982. She received the Ph.D. degree in information and communication engineering from PLA Strategic Support Force Information Engineering University. She is an Associate Professor at the Henan High-speed Railway Operation and Technological Research Center, Zhengzhou. Her research interests include MIMO radar and communication signal processing. (Email: dingting_ndsc@foxmail.com)

was born in 1990. He is currently pursuing the Ph.D. degree in the information and communication engineering at PLA Strategic Support Force Information Engineering University. His current research interests include multistatic passive radar, target localization, radar signal processing, estimation theory, and detection theory. (Email: ethanchioa@aliyun.com)

was born in 1964. He received the Ph.D. degree from Beijing Institute of Technology. He is currently a Professor in PLA Strategic Support Force Information Engineering University. His current research interests include radar signal processing and array signal processing. (Email: zhaoyongjuntg@126.com)
Received Date: 2020-12-11
Accepted Date: 2021-08-31

Available Online: 2021-11-05

Publish Date: 2022-03-05

Abstract

Abstract

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 one-stage, which enables for source localization with the fewest receivers necessary. Theoretical accuracy analysis shows that the proposed algorithm reaches the Cramer-Rao lower bound, and simulation studies corroborate the efficiency and superiority of the proposed algorithm over other algorithms.
- Source localization,
- Time difference of arrival,
- Frequency difference of arrival,
- Angle of arrival,
- Angle rate

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References(27)

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