A Ground Moving Target Detection Method for Seismic and Sound Sensor Based on Evolutionary Neural Networks
The accurate identification of moving target types in alert areas is a fundamental task for unattended ground sensors. Considering that the seismic and sound signals generated by ground moving targets in urban areas are easily affected by environmental noise and the power consumption of unattended g...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/18/9343 |
| _version_ | 1797491402806919168 |
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| author | Kunsheng Xing Nan Wang Wei Wang |
| author_facet | Kunsheng Xing Nan Wang Wei Wang |
| author_sort | Kunsheng Xing |
| collection | DOAJ |
| description | The accurate identification of moving target types in alert areas is a fundamental task for unattended ground sensors. Considering that the seismic and sound signals generated by ground moving targets in urban areas are easily affected by environmental noise and the power consumption of unattended ground sensors needs to be reduced to achieve low-power consumption, this paper proposes a ground moving target detection method based on evolutionary neural networks. The technique achieves the selection of feature extraction methods and the design of evolving neural network structures. The experimental results show that the improved model can achieve high recognition accuracy with a smaller feature vector and lower network complexity. |
| first_indexed | 2024-03-10T00:46:57Z |
| format | Article |
| id | doaj.art-4e39dbc845fb4a7180aadb9b3a924943 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T00:46:57Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-4e39dbc845fb4a7180aadb9b3a9249432023-11-23T14:57:03ZengMDPI AGApplied Sciences2076-34172022-09-011218934310.3390/app12189343A Ground Moving Target Detection Method for Seismic and Sound Sensor Based on Evolutionary Neural NetworksKunsheng Xing0Nan Wang1Wei Wang2College of Intelligent Science and Technology, National University of Defense Technology, Changsha 410003, ChinaCollege of Intelligent Science and Technology, National University of Defense Technology, Changsha 410003, ChinaCollege of Intelligent Science and Technology, National University of Defense Technology, Changsha 410003, ChinaThe accurate identification of moving target types in alert areas is a fundamental task for unattended ground sensors. Considering that the seismic and sound signals generated by ground moving targets in urban areas are easily affected by environmental noise and the power consumption of unattended ground sensors needs to be reduced to achieve low-power consumption, this paper proposes a ground moving target detection method based on evolutionary neural networks. The technique achieves the selection of feature extraction methods and the design of evolving neural network structures. The experimental results show that the improved model can achieve high recognition accuracy with a smaller feature vector and lower network complexity.https://www.mdpi.com/2076-3417/12/18/9343moving target recognitionevolutionary neural networksambient intelligencewireless sensor networksunattended ground sensors |
| spellingShingle | Kunsheng Xing Nan Wang Wei Wang A Ground Moving Target Detection Method for Seismic and Sound Sensor Based on Evolutionary Neural Networks Applied Sciences moving target recognition evolutionary neural networks ambient intelligence wireless sensor networks unattended ground sensors |
| title | A Ground Moving Target Detection Method for Seismic and Sound Sensor Based on Evolutionary Neural Networks |
| title_full | A Ground Moving Target Detection Method for Seismic and Sound Sensor Based on Evolutionary Neural Networks |
| title_fullStr | A Ground Moving Target Detection Method for Seismic and Sound Sensor Based on Evolutionary Neural Networks |
| title_full_unstemmed | A Ground Moving Target Detection Method for Seismic and Sound Sensor Based on Evolutionary Neural Networks |
| title_short | A Ground Moving Target Detection Method for Seismic and Sound Sensor Based on Evolutionary Neural Networks |
| title_sort | ground moving target detection method for seismic and sound sensor based on evolutionary neural networks |
| topic | moving target recognition evolutionary neural networks ambient intelligence wireless sensor networks unattended ground sensors |
| url | https://www.mdpi.com/2076-3417/12/18/9343 |
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