A novel multi‐target TBD scheme for GNSS‐based passive bistatic radar

Abstract Global Navigation Satellite System (GNSS)‐based passive bistatic radar (PBR) systems hold promise for use as low‐altitude surveillance mechanisms in critical urban and suburban zones, attributed to their low power consumption, good concealment, and worldwide reach. However, the increasing d...

Full description

Saved in:
Bibliographic Details
Main Authors: Tao Tang, Pengbo Wang, Peng Zhao, Hongcheng Zeng, Jie Chen
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Radar, Sonar & Navigation
Subjects:
Online Access:https://doi.org/10.1049/rsn2.12670
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1846101845293924352
author Tao Tang
Pengbo Wang
Peng Zhao
Hongcheng Zeng
Jie Chen
author_facet Tao Tang
Pengbo Wang
Peng Zhao
Hongcheng Zeng
Jie Chen
author_sort Tao Tang
collection DOAJ
description Abstract Global Navigation Satellite System (GNSS)‐based passive bistatic radar (PBR) systems hold promise for use as low‐altitude surveillance mechanisms in critical urban and suburban zones, attributed to their low power consumption, good concealment, and worldwide reach. However, the increasing demand for airspace regulation presents challenges for multi‐target tracking. Additionally, the limited power budget of GNSS signals results in low target SNR, restricting the detection range. Hence, a novel multi‐target track‐before‐detect (TBD) scheme is proposed. This strategy employs a dual‐channel coarse focusing (DCCF)‐based cluster centroid extraction algorithm to identify potential target information in the range Doppler (RD) domain. Subsequently, a modified cardinalised probability hypothesis density (MCPHD) filter is utilised, enhanced with a birth target intensity estimation module assisted by Doppler and a trajectory management module, to accurately track multiple targets under conditions of low SNR. Simulation results and performance analysis using the Optimal Sub‐pattern Assignment (OSPA) metric confirm the effectiveness of our approach. Furthermore, in a real‐world experiment using the GPS L5 signal as an illuminator, the authors successfully processed experimental data to track a civil aircraft over 10 frames, demonstrating the practical applicability of the proposed method in GNSS‐based PBR systems.
format Article
id doaj-art-64a135fe715b47e8be5c2b12e4f15cab
institution Kabale University
issn 1751-8784
1751-8792
language English
publishDate 2024-12-01
publisher Wiley
record_format Article
series IET Radar, Sonar & Navigation
spelling doaj-art-64a135fe715b47e8be5c2b12e4f15cab2024-12-28T09:48:48ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922024-12-0118122497251210.1049/rsn2.12670A novel multi‐target TBD scheme for GNSS‐based passive bistatic radarTao Tang0Pengbo Wang1Peng Zhao2Hongcheng Zeng3Jie Chen4School of Electronics and Information Engineering Beihang University Beijing ChinaSchool of Electronics and Information Engineering Beihang University Beijing ChinaSchool of Electronics and Information Engineering Beihang University Beijing ChinaSchool of Electronics and Information Engineering Beihang University Beijing ChinaSchool of Electronics and Information Engineering Beihang University Beijing ChinaAbstract Global Navigation Satellite System (GNSS)‐based passive bistatic radar (PBR) systems hold promise for use as low‐altitude surveillance mechanisms in critical urban and suburban zones, attributed to their low power consumption, good concealment, and worldwide reach. However, the increasing demand for airspace regulation presents challenges for multi‐target tracking. Additionally, the limited power budget of GNSS signals results in low target SNR, restricting the detection range. Hence, a novel multi‐target track‐before‐detect (TBD) scheme is proposed. This strategy employs a dual‐channel coarse focusing (DCCF)‐based cluster centroid extraction algorithm to identify potential target information in the range Doppler (RD) domain. Subsequently, a modified cardinalised probability hypothesis density (MCPHD) filter is utilised, enhanced with a birth target intensity estimation module assisted by Doppler and a trajectory management module, to accurately track multiple targets under conditions of low SNR. Simulation results and performance analysis using the Optimal Sub‐pattern Assignment (OSPA) metric confirm the effectiveness of our approach. Furthermore, in a real‐world experiment using the GPS L5 signal as an illuminator, the authors successfully processed experimental data to track a civil aircraft over 10 frames, demonstrating the practical applicability of the proposed method in GNSS‐based PBR systems.https://doi.org/10.1049/rsn2.12670passive radarradar detectionradar signal processing
spellingShingle Tao Tang
Pengbo Wang
Peng Zhao
Hongcheng Zeng
Jie Chen
A novel multi‐target TBD scheme for GNSS‐based passive bistatic radar
IET Radar, Sonar & Navigation
passive radar
radar detection
radar signal processing
title A novel multi‐target TBD scheme for GNSS‐based passive bistatic radar
title_full A novel multi‐target TBD scheme for GNSS‐based passive bistatic radar
title_fullStr A novel multi‐target TBD scheme for GNSS‐based passive bistatic radar
title_full_unstemmed A novel multi‐target TBD scheme for GNSS‐based passive bistatic radar
title_short A novel multi‐target TBD scheme for GNSS‐based passive bistatic radar
title_sort novel multi target tbd scheme for gnss based passive bistatic radar
topic passive radar
radar detection
radar signal processing
url https://doi.org/10.1049/rsn2.12670
work_keys_str_mv AT taotang anovelmultitargettbdschemeforgnssbasedpassivebistaticradar
AT pengbowang anovelmultitargettbdschemeforgnssbasedpassivebistaticradar
AT pengzhao anovelmultitargettbdschemeforgnssbasedpassivebistaticradar
AT hongchengzeng anovelmultitargettbdschemeforgnssbasedpassivebistaticradar
AT jiechen anovelmultitargettbdschemeforgnssbasedpassivebistaticradar
AT taotang novelmultitargettbdschemeforgnssbasedpassivebistaticradar
AT pengbowang novelmultitargettbdschemeforgnssbasedpassivebistaticradar
AT pengzhao novelmultitargettbdschemeforgnssbasedpassivebistaticradar
AT hongchengzeng novelmultitargettbdschemeforgnssbasedpassivebistaticradar
AT jiechen novelmultitargettbdschemeforgnssbasedpassivebistaticradar