Low-Altitude Target Detection Method Based on Distributed Sensor Networks
With the widespread application of low-altitude targets, it is absolutely necessary to monitor and control their use. The effective detection of targets is the basis for such control, and existing detection methods are still inadequate for large-scale surveillance and small-scale key control of low-...
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Format: | Article |
Language: | English |
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IEEE
2022-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9780413/ |
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author | Xin Du Huatao Shang Lei Wang Yingfei Sun |
author_facet | Xin Du Huatao Shang Lei Wang Yingfei Sun |
author_sort | Xin Du |
collection | DOAJ |
description | With the widespread application of low-altitude targets, it is absolutely necessary to monitor and control their use. The effective detection of targets is the basis for such control, and existing detection methods are still inadequate for large-scale surveillance and small-scale key control of low-altitude targets. In this paper, a network detection method based on a distributed sensor architecture is proposed. The system architecture of this paper focuses on reducing the complexity of receiving stations and attempts to build a sensor system with a simplistic, feasible design to realize large-scale distributed network deployment. This paper first presents a distributed network detection architecture model and elaborates upon the system architecture design method. To perform target track management in the detection process, this study provides a target track management method based on localization and correlation quality, and specifically discusses the management of the target range-only and three-dimensional tracks. For problems related to multi-sensor multi-target track association in this study, a multistatic range-only track association algorithm based on target characteristic clustering is proposed; this approach can significantly reduce the requisite computational power compared to the traditional multi-sensor multi-target track association process. Through the simulation analysis of a typical multi-target detection scenario, the results demonstrate that the proposed detection method is robust, exhibits good tracking accuracy, and can effectively respond to the detection scenarios of low-altitude targets. |
first_indexed | 2024-04-13T17:47:44Z |
format | Article |
id | doaj.art-61cc3f90a73e4fb9ad87f2fccbce1bae |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-04-13T17:47:44Z |
publishDate | 2022-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-61cc3f90a73e4fb9ad87f2fccbce1bae2022-12-22T02:36:53ZengIEEEIEEE Access2169-35362022-01-0110564585646810.1109/ACCESS.2022.31776559780413Low-Altitude Target Detection Method Based on Distributed Sensor NetworksXin Du0https://orcid.org/0000-0001-7017-635XHuatao Shang1https://orcid.org/0000-0002-9969-4510Lei Wang2Yingfei Sun3School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, ChinaBeijing Institute of Radio Measurement, Beijing, ChinaBeijing Institute of Radio Measurement, Beijing, ChinaSchool of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, ChinaWith the widespread application of low-altitude targets, it is absolutely necessary to monitor and control their use. The effective detection of targets is the basis for such control, and existing detection methods are still inadequate for large-scale surveillance and small-scale key control of low-altitude targets. In this paper, a network detection method based on a distributed sensor architecture is proposed. The system architecture of this paper focuses on reducing the complexity of receiving stations and attempts to build a sensor system with a simplistic, feasible design to realize large-scale distributed network deployment. This paper first presents a distributed network detection architecture model and elaborates upon the system architecture design method. To perform target track management in the detection process, this study provides a target track management method based on localization and correlation quality, and specifically discusses the management of the target range-only and three-dimensional tracks. For problems related to multi-sensor multi-target track association in this study, a multistatic range-only track association algorithm based on target characteristic clustering is proposed; this approach can significantly reduce the requisite computational power compared to the traditional multi-sensor multi-target track association process. Through the simulation analysis of a typical multi-target detection scenario, the results demonstrate that the proposed detection method is robust, exhibits good tracking accuracy, and can effectively respond to the detection scenarios of low-altitude targets.https://ieeexplore.ieee.org/document/9780413/Distributed sensorslow-altitude targetsnetwork detection |
spellingShingle | Xin Du Huatao Shang Lei Wang Yingfei Sun Low-Altitude Target Detection Method Based on Distributed Sensor Networks IEEE Access Distributed sensors low-altitude targets network detection |
title | Low-Altitude Target Detection Method Based on Distributed Sensor Networks |
title_full | Low-Altitude Target Detection Method Based on Distributed Sensor Networks |
title_fullStr | Low-Altitude Target Detection Method Based on Distributed Sensor Networks |
title_full_unstemmed | Low-Altitude Target Detection Method Based on Distributed Sensor Networks |
title_short | Low-Altitude Target Detection Method Based on Distributed Sensor Networks |
title_sort | low altitude target detection method based on distributed sensor networks |
topic | Distributed sensors low-altitude targets network detection |
url | https://ieeexplore.ieee.org/document/9780413/ |
work_keys_str_mv | AT xindu lowaltitudetargetdetectionmethodbasedondistributedsensornetworks AT huataoshang lowaltitudetargetdetectionmethodbasedondistributedsensornetworks AT leiwang lowaltitudetargetdetectionmethodbasedondistributedsensornetworks AT yingfeisun lowaltitudetargetdetectionmethodbasedondistributedsensornetworks |