Passive Target Detection Based on GLRT Using Multi-satellite Illumination

Huijie Zhu; Mingqian Liu; Ming Li; Xiuhui Gao

Artificial Intelligence for Communications and Networks. Third EAI International Conference, AICON 2021, Xining, China, October 23–24, 2021, Proceedings, Part I

Research Article

Passive Target Detection Based on GLRT Using Multi-satellite Illumination

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@INPROCEEDINGS{10.1007/978-3-030-90196-7_23,
    author={Huijie Zhu and Mingqian Liu and Ming Li and Xiuhui Gao},
    title={Passive Target Detection Based on GLRT Using Multi-satellite Illumination},
    proceedings={Artificial Intelligence for Communications and Networks. Third EAI International Conference, AICON 2021, Xining, China, October 23--24, 2021, Proceedings, Part I},
    proceedings_a={AICON},
    year={2021},
    month={11},
    keywords={Generalized likelihood ratio test Multi-satellite illumination Passive detection Target detection},
    doi={10.1007/978-3-030-90196-7_23}
}

Huijie Zhu
Mingqian Liu
Ming Li
Xiuhui Gao
Year: 2021
Passive Target Detection Based on GLRT Using Multi-satellite Illumination
AICON
Springer
DOI: 10.1007/978-3-030-90196-7_23

Huijie Zhu¹, Mingqian Liu²^,*, Ming Li³, Xiuhui Gao²

1: Science and Technology on Communication Information Security Control Laboratory, The 36th Research Institute of China Electronics Technology Group Corporation
2: State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an
3: State 722 Factory, Guilin

*Contact email: mqliu@mail.xidian.edu.cn

Abstract

This paper proposes a novel passive location parameter estimator using multiple satellites for moving aerial targets. Specifically, we consider target detection in the ground dual receiver system, which is divided into reference channel and monitoring channel. The reference channel receives the direct wave signals from multiple external emitters, and the monitoring channel receives the echo signals reflected by the target. We propose a target detection method based on a generalized likelihood ratio (GLRT). This detection algorithm is robust to the reference channel noise. Extensive simulations are conducted to evaluate the performance of the algorithm under various network settings.

Keywords: Generalized likelihood ratio test, Multi-satellite illumination, Passive detection, Target detection

Published: 2021-11-03
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-90196-7_23

Passive Target Detection Based on GLRT Using Multi-satellite Illumination

Abstract

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