Intelligent Unmanned Defense System for Autonomous Interception of UAVs Based on Improved Acoustic Source Localization Algorithm Article Swipe
Xian‐Zhang Hu
,
Min Yang
,
Changming Liu
,
Huan Ma
,
Kuangang Fan
,
Haonan Hou
,
Wenlong Cai
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1109/access.2025.3575959
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1109/access.2025.3575959
Illegal flights of UAVs have seriously threatened personal privacy and social security. UAV localization techniques, especially acoustic source localization, have received extensive attention from scholars. However, the traditional acoustic source direction of arrival (DOA) estimation algorithms are based only on cross-correlation or covariance matrices of part of the array received data. This leads to insufficient information utilization for high-precision localization and interception. Therefore, this article proposed a UAV acoustic source localization algorithm based on the ESPRIT algorithm with Toeplitz matrix reconstruction. Simulation tests were conducted on multiple UAV acoustic source signals in different directions, and the relational equation between the number of multiple UAV acoustic source signals and the minimum incidence critical angle was derived. The results demonstrated that the proposed algorithm has minimum RMSE and high DOA estimation signal accuracy. The resolution probability of the algorithm even exceeds 95%. The improved algorithm was applied to the indoor and outdoor tests of a self-designed 12-channel spherical microphone array and a circular MEMS microphone array. The effectiveness of the proposed algorithm and the accuracy of the derived equations are verified. Finally, we designed an intelligent interception unmanned defense system and applied it to different locations. The results show that the improved algorithm proposed in this article is correct and feasible.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2025.3575959
- OA Status
- gold
- Cited By
- 1
- References
- 33
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- OpenAlex ID
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https://openalex.org/W4410949757Canonical identifier for this work in OpenAlex
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https://doi.org/10.1109/access.2025.3575959Digital Object Identifier
- Title
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Intelligent Unmanned Defense System for Autonomous Interception of UAVs Based on Improved Acoustic Source Localization AlgorithmWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-01Full publication date if available
- Authors
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Xian‐Zhang Hu, Min Yang, Changming Liu, Huan Ma, Kuangang Fan, Haonan Hou, Wenlong CaiList of authors in order
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https://doi.org/10.1109/access.2025.3575959Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1109/access.2025.3575959Direct OA link when available
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Computer science, Interception, Artificial intelligence, Ecology, BiologyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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33Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.improved | 141, 199 |
| abstract_inverted_index.matrices | 43 |
| abstract_inverted_index.multiple | 86, 102 |
| abstract_inverted_index.personal | 7 |
| abstract_inverted_index.proposed | 65, 120, 168, 201 |
| abstract_inverted_index.received | 20, 49 |
| abstract_inverted_index.unmanned | 185 |
| abstract_inverted_index.accuracy. | 130 |
| abstract_inverted_index.algorithm | 71, 76, 121, 136, 142, 169, 200 |
| abstract_inverted_index.attention | 22 |
| abstract_inverted_index.conducted | 84 |
| abstract_inverted_index.different | 92, 192 |
| abstract_inverted_index.direction | 30 |
| abstract_inverted_index.equations | 176 |
| abstract_inverted_index.extensive | 21 |
| abstract_inverted_index.feasible. | 208 |
| abstract_inverted_index.incidence | 110 |
| abstract_inverted_index.scholars. | 24 |
| abstract_inverted_index.security. | 11 |
| abstract_inverted_index.seriously | 5 |
| abstract_inverted_index.spherical | 155 |
| abstract_inverted_index.verified. | 178 |
| abstract_inverted_index.12-channel | 154 |
| abstract_inverted_index.Simulation | 81 |
| abstract_inverted_index.Therefore, | 62 |
| abstract_inverted_index.algorithms | 35 |
| abstract_inverted_index.covariance | 42 |
| abstract_inverted_index.especially | 15 |
| abstract_inverted_index.estimation | 34, 128 |
| abstract_inverted_index.locations. | 193 |
| abstract_inverted_index.microphone | 156, 162 |
| abstract_inverted_index.relational | 96 |
| abstract_inverted_index.resolution | 132 |
| abstract_inverted_index.threatened | 6 |
| abstract_inverted_index.directions, | 93 |
| abstract_inverted_index.information | 55 |
| abstract_inverted_index.intelligent | 183 |
| abstract_inverted_index.probability | 133 |
| abstract_inverted_index.techniques, | 14 |
| abstract_inverted_index.traditional | 27 |
| abstract_inverted_index.utilization | 56 |
| abstract_inverted_index.demonstrated | 117 |
| abstract_inverted_index.insufficient | 54 |
| abstract_inverted_index.interception | 184 |
| abstract_inverted_index.localization | 13, 59, 70 |
| abstract_inverted_index.effectiveness | 165 |
| abstract_inverted_index.interception. | 61 |
| abstract_inverted_index.localization, | 18 |
| abstract_inverted_index.self-designed | 153 |
| abstract_inverted_index.high-precision | 58 |
| abstract_inverted_index.reconstruction. | 80 |
| abstract_inverted_index.cross-correlation | 40 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.7200000286102295 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.86223026 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |