Move-stop-move Target Tracking with Low-altitude Surveillance Radars

Low-altitude small targets, represented by rotor unmanned aerial vehicles, always adopt slow move-and-stop strategy or employ an obstacle blocking strategy to avoid radar detection and conduct point-and-point strikes or interference on important information equipment and strategic bases. This type o...

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Main Authors: Kaiming XU, Bailu WANG, Suqi LI, Yunkai DENG, Jinghe WANG
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2022-06-01
Series:Leida xuebao
Subjects:
Online Access:https://radars.ac.cn/cn/article/doi/10.12000/JR21211
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author Kaiming XU
Bailu WANG
Suqi LI
Yunkai DENG
Jinghe WANG
author_facet Kaiming XU
Bailu WANG
Suqi LI
Yunkai DENG
Jinghe WANG
author_sort Kaiming XU
collection DOAJ
description Low-altitude small targets, represented by rotor unmanned aerial vehicles, always adopt slow move-and-stop strategy or employ an obstacle blocking strategy to avoid radar detection and conduct point-and-point strikes or interference on important information equipment and strategic bases. This type of target can appear and disappear from the radar Field of View (FoV) multiple times, thus, it is referred to as move-stop-move targets. Dealing with this type of target using traditional tracking models and algorithms can lead to discontinuities in target identity and track fragmentation. To this end, this study investigates the tracking problem of move-stop-move targets with the Labeled Multi-Bernoulli (LMB) filter based on random finite set statistics. To describe the evolution characteristics of multiple entries to the radar FoV, first, we introduce the third type of birth procedure, that is, the Re-Birth (RB) procedure. Specifically, based on the spatial and kinematic relationships between target states before and after returning to the radar FoV, a Spatial Correlation-based RB (SC-RB) procedure is proposed. Then, in the framework of Bayesian filtering, we derive the SC-RB-LMB filter with the proposed SC-RB model, which is capable of tracking move-stop-move targets continuously with its identity unchanged. In typical low-altitude surveillance scenarios, the effectiveness of the proposed model and algorithm is highlighted.
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spelling doaj.art-e2b76b65b7e74a0380d7424111623e9e2023-12-03T07:21:27ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2022-06-0111344345810.12000/JR21211R21211Move-stop-move Target Tracking with Low-altitude Surveillance RadarsKaiming XU0Bailu WANG1Suqi LI2Yunkai DENG3Jinghe WANG4The Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaSchool of Micro-electronics and Communication Engineering, Chongqing University, Chongqing 400044, ChinaSchool of Micro-electronics and Communication Engineering, Chongqing University, Chongqing 400044, ChinaThe Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaThe Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaLow-altitude small targets, represented by rotor unmanned aerial vehicles, always adopt slow move-and-stop strategy or employ an obstacle blocking strategy to avoid radar detection and conduct point-and-point strikes or interference on important information equipment and strategic bases. This type of target can appear and disappear from the radar Field of View (FoV) multiple times, thus, it is referred to as move-stop-move targets. Dealing with this type of target using traditional tracking models and algorithms can lead to discontinuities in target identity and track fragmentation. To this end, this study investigates the tracking problem of move-stop-move targets with the Labeled Multi-Bernoulli (LMB) filter based on random finite set statistics. To describe the evolution characteristics of multiple entries to the radar FoV, first, we introduce the third type of birth procedure, that is, the Re-Birth (RB) procedure. Specifically, based on the spatial and kinematic relationships between target states before and after returning to the radar FoV, a Spatial Correlation-based RB (SC-RB) procedure is proposed. Then, in the framework of Bayesian filtering, we derive the SC-RB-LMB filter with the proposed SC-RB model, which is capable of tracking move-stop-move targets continuously with its identity unchanged. In typical low-altitude surveillance scenarios, the effectiveness of the proposed model and algorithm is highlighted.https://radars.ac.cn/cn/article/doi/10.12000/JR21211low-altitude surveillance radarmove-stop-move target trackingrandom finite set statisticsrebirth procedure modellmb filter
spellingShingle Kaiming XU
Bailu WANG
Suqi LI
Yunkai DENG
Jinghe WANG
Move-stop-move Target Tracking with Low-altitude Surveillance Radars
Leida xuebao
low-altitude surveillance radar
move-stop-move target tracking
random finite set statistics
rebirth procedure model
lmb filter
title Move-stop-move Target Tracking with Low-altitude Surveillance Radars
title_full Move-stop-move Target Tracking with Low-altitude Surveillance Radars
title_fullStr Move-stop-move Target Tracking with Low-altitude Surveillance Radars
title_full_unstemmed Move-stop-move Target Tracking with Low-altitude Surveillance Radars
title_short Move-stop-move Target Tracking with Low-altitude Surveillance Radars
title_sort move stop move target tracking with low altitude surveillance radars
topic low-altitude surveillance radar
move-stop-move target tracking
random finite set statistics
rebirth procedure model
lmb filter
url https://radars.ac.cn/cn/article/doi/10.12000/JR21211
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AT suqili movestopmovetargettrackingwithlowaltitudesurveillanceradars
AT yunkaideng movestopmovetargettrackingwithlowaltitudesurveillanceradars
AT jinghewang movestopmovetargettrackingwithlowaltitudesurveillanceradars