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Publishing Language: Chinese

Evaluation of TDOA based air target localization algorithm using GNSS-based passive radar

Chuanrui TAN1, Tang LI2, Wenqian CHEN1, Feng WANG1( ), Dongkai YANG1, Shiyu WU3
School of Electronic and Information Engineering,Beihang University,Beijing 100191,China
SHENYUAN Honors College,Beihang University,Beijing 100191,China
Beijing Institute of Remote Sensing Equipment,Beijing 100191,China
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Abstract

The effectiveness of the air target localization method based on time difference of arrival (TDOA) is assessed using passive radar based on the global navigation satellite system (GNSS). The equations of localization and their weighted least squares solution are derived. To determine the weight matrix, an elevation-dependent model and a signal to noise ratio(SNR)-dependent model are introduced. Simulation and outdoor experiment results show that the elevation-dependent model and SNR-dependent model can effectively reduce the position error of the TDOA based air target localization algorithm compared with the unweighted model. When the number of satellites used for localization is fewer than seven, the position performance improves quickly as the number of satellites used increases. However, the improvement trend slows down if more than seven satellites are employed. The evaluation of geometric dilution of precision shows that there is a positive linear correlation between the geometric dilution of precision and position error. In outdoor experiment, the maximum position error of airliners is 206.30 m, and the minimum position error is 13.85 m.

CLC number: TN958.97 Document code: A Article ID: 1001-5965(2025)12-4268-11

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Journal of Beijing University of Aeronautics and Astronautics
Pages 4268-4278

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Cite this article:
TAN C, LI T, CHEN W, et al. Evaluation of TDOA based air target localization algorithm using GNSS-based passive radar. Journal of Beijing University of Aeronautics and Astronautics, 2025, 51(12): 4268-4278. https://doi.org/10.13700/j.bh.1001-5965.2023.0685

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Received: 24 October 2023
Published: 19 December 2023
© Journal of Beijing University of Aeronautics and Astronautics