Fusion Detection for Networked Radar Aided by Doppler Information

Compared with single-radar systems, spatially separated networked radar usually has better detection performance due to its advantages of spatial and frequency diversities. Most of the current fusion detection methods based on networked radar systems only rely on the echo amplitude information of th...

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Main Authors: Chang GAO, Fengdeng GU, Junkun YAN, Tianyi JIA, Hongwei LIU
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2023-06-01
Series:Leida xuebao
Subjects:
Online Access:https://radars.ac.cn/cn/article/doi/10.12000/JR22220
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author Chang GAO
Fengdeng GU
Junkun YAN
Tianyi JIA
Hongwei LIU
author_facet Chang GAO
Fengdeng GU
Junkun YAN
Tianyi JIA
Hongwei LIU
author_sort Chang GAO
collection DOAJ
description Compared with single-radar systems, spatially separated networked radar usually has better detection performance due to its advantages of spatial and frequency diversities. Most of the current fusion detection methods based on networked radar systems only rely on the echo amplitude information of the target without considering the Doppler information that a coherent radar system can obtain to assist detection of targets. Intuitively, the spatial position and radial velocity of a target observed by different radar devices in the networked radar systems should meet certain physical constraints under which the target and false target can be substantially distinguished. Based on this consideration, fusion detection for the networked radar aided by a Doppler information algorithm is proposed in this paper. First, a set of inequalities is constructed based on the coupling between the observation of the same target’s azimuth and Doppler velocity by multiple radar stations. Then, a two-phase method, an algorithm in operational research, is used to judge whether the inequalities have a feasible solution, based on which a judgment is made on whether the target exists. Finally, some simulations are conducted, which show that the proposed algorithm can effectively improve the detection performance of the networked radar system fusion detection. Additionally, the influence of radar station location and target position on the fusion detection performance of the proposed algorithm is analyzed.
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spelling doaj.art-b36fcdf854c64e0683c00a87f54b25702023-12-03T09:31:36ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2023-06-0112350051510.12000/JR22220R22220Fusion Detection for Networked Radar Aided by Doppler InformationChang GAO0Fengdeng GU1Junkun YAN2Tianyi JIA3Hongwei LIU4National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaCompared with single-radar systems, spatially separated networked radar usually has better detection performance due to its advantages of spatial and frequency diversities. Most of the current fusion detection methods based on networked radar systems only rely on the echo amplitude information of the target without considering the Doppler information that a coherent radar system can obtain to assist detection of targets. Intuitively, the spatial position and radial velocity of a target observed by different radar devices in the networked radar systems should meet certain physical constraints under which the target and false target can be substantially distinguished. Based on this consideration, fusion detection for the networked radar aided by a Doppler information algorithm is proposed in this paper. First, a set of inequalities is constructed based on the coupling between the observation of the same target’s azimuth and Doppler velocity by multiple radar stations. Then, a two-phase method, an algorithm in operational research, is used to judge whether the inequalities have a feasible solution, based on which a judgment is made on whether the target exists. Finally, some simulations are conducted, which show that the proposed algorithm can effectively improve the detection performance of the networked radar system fusion detection. Additionally, the influence of radar station location and target position on the fusion detection performance of the proposed algorithm is analyzed.https://radars.ac.cn/cn/article/doi/10.12000/JR22220networked radarfusion detectiondoppler informationtwo-phase method
spellingShingle Chang GAO
Fengdeng GU
Junkun YAN
Tianyi JIA
Hongwei LIU
Fusion Detection for Networked Radar Aided by Doppler Information
Leida xuebao
networked radar
fusion detection
doppler information
two-phase method
title Fusion Detection for Networked Radar Aided by Doppler Information
title_full Fusion Detection for Networked Radar Aided by Doppler Information
title_fullStr Fusion Detection for Networked Radar Aided by Doppler Information
title_full_unstemmed Fusion Detection for Networked Radar Aided by Doppler Information
title_short Fusion Detection for Networked Radar Aided by Doppler Information
title_sort fusion detection for networked radar aided by doppler information
topic networked radar
fusion detection
doppler information
two-phase method
url https://radars.ac.cn/cn/article/doi/10.12000/JR22220
work_keys_str_mv AT changgao fusiondetectionfornetworkedradaraidedbydopplerinformation
AT fengdenggu fusiondetectionfornetworkedradaraidedbydopplerinformation
AT junkunyan fusiondetectionfornetworkedradaraidedbydopplerinformation
AT tianyijia fusiondetectionfornetworkedradaraidedbydopplerinformation
AT hongweiliu fusiondetectionfornetworkedradaraidedbydopplerinformation