The Array Optimization Model for Distributed Antisubmarine of Non-cluster USV Based on Coverage

Yilong Niu; Kai Zhang; Ying Mu; Qi Wang; Yingmin Wang

doi:10.1007/978-981-99-0479-2_222

The Array Optimization Model for Distributed Antisubmarine of Non-cluster USV Based on Coverage

Yilong Niu, Kai Zhang, Ying Mu, Qi Wang, Yingmin Wang

School of Mechanics,Civil Engineering and Architecture

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Aiming at the low efficiency of single-vehicle submarine search and high complexity of cluster submarine search of Unmanned Surface Vehicle (USV), a new model for distributed antisubmarine of non-cluster USV is proposed by making full use of the long-endurance and long-distance submarine search capabilities of USV. This model uses a small number of USV carrying sonar detection equipment and distributes them relatively according to the designated position to form a multistatic sonar detection system, based on which anti-submarine operations are carried out. Around this model, a multistatic sonar system detection performance evaluation model is established based on maximizing the coverage of submarine search to study the influence of the deployment of the system platform on the detection coverage ability. The swarm intelligent algorithm optimizes the array information of the multistatic sonar system to achieve better detection effect. The simulation results show that using the swarm intelligence algorithm to reasonably optimize the array deployment of the model can greatly improve its regional coverage.

Original language	English
Title of host publication	Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022
Editors	Wenxing Fu, Mancang Gu, Yifeng Niu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	2402-2412
Number of pages	11
ISBN (Print)	9789819904785
DOIs	https://doi.org/10.1007/978-981-99-0479-2_222
State	Published - 2023
Event	International Conference on Autonomous Unmanned Systems, ICAUS 2022 - Xi'an, China Duration: 23 Sep 2022 → 25 Sep 2022

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1010 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Autonomous Unmanned Systems, ICAUS 2022
Country/Territory	China
City	Xi'an
Period	23/09/22 → 25/09/22

Keywords

Array optimization
Multistatic sonar system
Submarine search
The swarm intelligent algorithm
USV

Access to Document

10.1007/978-981-99-0479-2_222

Cite this

Niu, Y., Zhang, K., Mu, Y., Wang, Q., & Wang, Y. (2023). The Array Optimization Model for Distributed Antisubmarine of Non-cluster USV Based on Coverage. In W. Fu, M. Gu, & Y. Niu (Eds.), Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022 (pp. 2402-2412). (Lecture Notes in Electrical Engineering; Vol. 1010 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-0479-2_222

Niu, Yilong ; Zhang, Kai ; Mu, Ying et al. / The Array Optimization Model for Distributed Antisubmarine of Non-cluster USV Based on Coverage. Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022. editor / Wenxing Fu ; Mancang Gu ; Yifeng Niu. Springer Science and Business Media Deutschland GmbH, 2023. pp. 2402-2412 (Lecture Notes in Electrical Engineering).

@inproceedings{8762c3fb4a59485c856d7ef402fd335d,

title = "The Array Optimization Model for Distributed Antisubmarine of Non-cluster USV Based on Coverage",

abstract = "Aiming at the low efficiency of single-vehicle submarine search and high complexity of cluster submarine search of Unmanned Surface Vehicle (USV), a new model for distributed antisubmarine of non-cluster USV is proposed by making full use of the long-endurance and long-distance submarine search capabilities of USV. This model uses a small number of USV carrying sonar detection equipment and distributes them relatively according to the designated position to form a multistatic sonar detection system, based on which anti-submarine operations are carried out. Around this model, a multistatic sonar system detection performance evaluation model is established based on maximizing the coverage of submarine search to study the influence of the deployment of the system platform on the detection coverage ability. The swarm intelligent algorithm optimizes the array information of the multistatic sonar system to achieve better detection effect. The simulation results show that using the swarm intelligence algorithm to reasonably optimize the array deployment of the model can greatly improve its regional coverage.",

keywords = "Array optimization, Multistatic sonar system, Submarine search, The swarm intelligent algorithm, USV",

author = "Yilong Niu and Kai Zhang and Ying Mu and Qi Wang and Yingmin Wang",

note = "Publisher Copyright: {\textcopyright} 2023, Beijing HIWING Sci. and Tech. Info Inst.; International Conference on Autonomous Unmanned Systems, ICAUS 2022 ; Conference date: 23-09-2022 Through 25-09-2022",

year = "2023",

doi = "10.1007/978-981-99-0479-2_222",

language = "英语",

isbn = "9789819904785",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

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Niu, Y, Zhang, K, Mu, Y, Wang, Q & Wang, Y 2023, The Array Optimization Model for Distributed Antisubmarine of Non-cluster USV Based on Coverage. in W Fu, M Gu & Y Niu (eds), Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022. Lecture Notes in Electrical Engineering, vol. 1010 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 2402-2412, International Conference on Autonomous Unmanned Systems, ICAUS 2022, Xi'an, China, 23/09/22. https://doi.org/10.1007/978-981-99-0479-2_222

The Array Optimization Model for Distributed Antisubmarine of Non-cluster USV Based on Coverage. / Niu, Yilong; Zhang, Kai; Mu, Ying et al.
Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022. ed. / Wenxing Fu; Mancang Gu; Yifeng Niu. Springer Science and Business Media Deutschland GmbH, 2023. p. 2402-2412 (Lecture Notes in Electrical Engineering; Vol. 1010 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Wang, Qi

AU - Wang, Yingmin

PY - 2023

Y1 - 2023

N2 - Aiming at the low efficiency of single-vehicle submarine search and high complexity of cluster submarine search of Unmanned Surface Vehicle (USV), a new model for distributed antisubmarine of non-cluster USV is proposed by making full use of the long-endurance and long-distance submarine search capabilities of USV. This model uses a small number of USV carrying sonar detection equipment and distributes them relatively according to the designated position to form a multistatic sonar detection system, based on which anti-submarine operations are carried out. Around this model, a multistatic sonar system detection performance evaluation model is established based on maximizing the coverage of submarine search to study the influence of the deployment of the system platform on the detection coverage ability. The swarm intelligent algorithm optimizes the array information of the multistatic sonar system to achieve better detection effect. The simulation results show that using the swarm intelligence algorithm to reasonably optimize the array deployment of the model can greatly improve its regional coverage.

AB - Aiming at the low efficiency of single-vehicle submarine search and high complexity of cluster submarine search of Unmanned Surface Vehicle (USV), a new model for distributed antisubmarine of non-cluster USV is proposed by making full use of the long-endurance and long-distance submarine search capabilities of USV. This model uses a small number of USV carrying sonar detection equipment and distributes them relatively according to the designated position to form a multistatic sonar detection system, based on which anti-submarine operations are carried out. Around this model, a multistatic sonar system detection performance evaluation model is established based on maximizing the coverage of submarine search to study the influence of the deployment of the system platform on the detection coverage ability. The swarm intelligent algorithm optimizes the array information of the multistatic sonar system to achieve better detection effect. The simulation results show that using the swarm intelligence algorithm to reasonably optimize the array deployment of the model can greatly improve its regional coverage.

KW - Array optimization

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KW - The swarm intelligent algorithm

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PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Autonomous Unmanned Systems, ICAUS 2022

Y2 - 23 September 2022 through 25 September 2022

ER -

Niu Y, Zhang K, Mu Y, Wang Q, Wang Y. The Array Optimization Model for Distributed Antisubmarine of Non-cluster USV Based on Coverage. In Fu W, Gu M, Niu Y, editors, Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 2402-2412. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-99-0479-2_222

The Array Optimization Model for Distributed Antisubmarine of Non-cluster USV Based on Coverage

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