Performance Research on Multi-Target Detection in Different Noisy Environments
This paper studies five classic multi-target detection methods in different noisy environments, including Akaike information criterion, ration criterion, Rissanen's minimum description length, Gerschgorin disk estimator and Eigen-increment threshold methods. Theoretical and statistical analyses...
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| Format: | Article |
| Language: | English |
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Ediciones Universidad de Salamanca
2024-11-01
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| Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
| Subjects: | |
| Online Access: | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31710 |
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| author | Yuhong Yin Qian Jia Huiqi Xu Guanglei Fu |
| author_facet | Yuhong Yin Qian Jia Huiqi Xu Guanglei Fu |
| author_sort | Yuhong Yin |
| collection | DOAJ |
| description | This paper studies five classic multi-target detection methods in different noisy environments, including Akaike information criterion, ration criterion, Rissanen's minimum description length, Gerschgorin disk estimator and Eigen-increment threshold methods. Theoretical and statistical analyses of these methods have been done through simulations and a real-world water tank experiment. It is known that these detection approaches suffer from array errors and environmental noises. A new diagonal correction algorithm has been proposed to address the issue of degraded detection performance in practical systems due to array errors and environmental noises. This algorithm not only improves the detection performance of these multi-target detection methods in low signal-to-noise ratios (SNR), but also enhances the robust property in high SNR scenarios. |
| format | Article |
| id | doaj-art-b5c9b4e1293949e7a3ef8ebfa5eacc7c |
| institution | Kabale University |
| issn | 2255-2863 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Ediciones Universidad de Salamanca |
| record_format | Article |
| series | Advances in Distributed Computing and Artificial Intelligence Journal |
| spelling | doaj-art-b5c9b4e1293949e7a3ef8ebfa5eacc7c2025-01-23T11:25:18ZengEdiciones Universidad de SalamancaAdvances in Distributed Computing and Artificial Intelligence Journal2255-28632024-11-0113e31710e3171010.14201/adcaij.3171037191Performance Research on Multi-Target Detection in Different Noisy EnvironmentsYuhong Yin0Qian Jia1Huiqi Xu2Guanglei Fu3School of Electronic Engineering, Xi'an Aeronautical Institute, Xi'an, ChinaSchool of Economics, Xi'an University of Finance and Economics, Xi'an, ChinaSchool of Automation, Northwestern Polytechnical University, Xi'an, ChinaEngineering Practice Training Center, Northwestern Polytechnical University, Xi'an, ChinaThis paper studies five classic multi-target detection methods in different noisy environments, including Akaike information criterion, ration criterion, Rissanen's minimum description length, Gerschgorin disk estimator and Eigen-increment threshold methods. Theoretical and statistical analyses of these methods have been done through simulations and a real-world water tank experiment. It is known that these detection approaches suffer from array errors and environmental noises. A new diagonal correction algorithm has been proposed to address the issue of degraded detection performance in practical systems due to array errors and environmental noises. This algorithm not only improves the detection performance of these multi-target detection methods in low signal-to-noise ratios (SNR), but also enhances the robust property in high SNR scenarios.https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31710multi-target detectiondiagonal amendatorynoise estimatorinformation theoretic criteria |
| spellingShingle | Yuhong Yin Qian Jia Huiqi Xu Guanglei Fu Performance Research on Multi-Target Detection in Different Noisy Environments Advances in Distributed Computing and Artificial Intelligence Journal multi-target detection diagonal amendatory noise estimator information theoretic criteria |
| title | Performance Research on Multi-Target Detection in Different Noisy Environments |
| title_full | Performance Research on Multi-Target Detection in Different Noisy Environments |
| title_fullStr | Performance Research on Multi-Target Detection in Different Noisy Environments |
| title_full_unstemmed | Performance Research on Multi-Target Detection in Different Noisy Environments |
| title_short | Performance Research on Multi-Target Detection in Different Noisy Environments |
| title_sort | performance research on multi target detection in different noisy environments |
| topic | multi-target detection diagonal amendatory noise estimator information theoretic criteria |
| url | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31710 |
| work_keys_str_mv | AT yuhongyin performanceresearchonmultitargetdetectionindifferentnoisyenvironments AT qianjia performanceresearchonmultitargetdetectionindifferentnoisyenvironments AT huiqixu performanceresearchonmultitargetdetectionindifferentnoisyenvironments AT guangleifu performanceresearchonmultitargetdetectionindifferentnoisyenvironments |