The research on the signal source number estimation algorithm
In array signal processing, Estimating the quantity of signal sources represents a crucial area of investigation. In this paper, a comprehensive introduction and analysis of the estimation methods for determining the number of signal sources are presented, including the background and significance,...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/113757/ http://psasir.upm.edu.my/id/eprint/113757/1/113757.pdf |
| _version_ | 1848866313558032384 |
|---|---|
| author | Peizhi, Wang Mohamed, Raihani Mustapha, Norwati Manshor, Noridayu |
| author_facet | Peizhi, Wang Mohamed, Raihani Mustapha, Norwati Manshor, Noridayu |
| author_sort | Peizhi, Wang |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In array signal processing, Estimating the quantity of signal sources represents a crucial area of investigation. In this paper, a comprehensive introduction and analysis of the estimation methods for determining the number of signal sources are presented, including the background and significance, and the significance of precise estimation of the quantity of signal sources. The influence of factors such as signal-to-noise ratio (SNR), noise background, and number of snapshots on the estimation algorithm is discussed in detail. At the same time, common array models are introduced. Then, different signal source number estimation algorithms are analyzed in detail, and their respective advantages and applicable conditions are pointed out. Finally, the performance of each algorithm in different situations is evaluated by comparing the performance of the algorithms under different SNRs, snapshot numbers, and array elements. The experimental results show that with the increase of the SNR and the number of array elements, the correct estimation probability of the algorithm also increases correspondingly, which provides a reliable experimental basis and performance evaluation for the estimation. © 2024 Institute of Advanced Engineering and Science. All rights reserved. |
| first_indexed | 2025-11-15T14:18:37Z |
| format | Article |
| id | upm-113757 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:18:37Z |
| publishDate | 2024 |
| publisher | Institute of Advanced Engineering and Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1137572025-01-13T07:55:17Z http://psasir.upm.edu.my/id/eprint/113757/ The research on the signal source number estimation algorithm Peizhi, Wang Mohamed, Raihani Mustapha, Norwati Manshor, Noridayu In array signal processing, Estimating the quantity of signal sources represents a crucial area of investigation. In this paper, a comprehensive introduction and analysis of the estimation methods for determining the number of signal sources are presented, including the background and significance, and the significance of precise estimation of the quantity of signal sources. The influence of factors such as signal-to-noise ratio (SNR), noise background, and number of snapshots on the estimation algorithm is discussed in detail. At the same time, common array models are introduced. Then, different signal source number estimation algorithms are analyzed in detail, and their respective advantages and applicable conditions are pointed out. Finally, the performance of each algorithm in different situations is evaluated by comparing the performance of the algorithms under different SNRs, snapshot numbers, and array elements. The experimental results show that with the increase of the SNR and the number of array elements, the correct estimation probability of the algorithm also increases correspondingly, which provides a reliable experimental basis and performance evaluation for the estimation. © 2024 Institute of Advanced Engineering and Science. All rights reserved. Institute of Advanced Engineering and Science 2024 Article PeerReviewed text en cc_by_sa_4 http://psasir.upm.edu.my/id/eprint/113757/1/113757.pdf Peizhi, Wang and Mohamed, Raihani and Mustapha, Norwati and Manshor, Noridayu (2024) The research on the signal source number estimation algorithm. Indonesian Journal of Electrical Engineering and Computer Science, 36 (1). pp. 188-196. ISSN 2502-4752; eISSN: 2502-4760 https://ijeecs.iaescore.com/index.php/IJEECS/article/view/36535 10.11591/ijeecs.v36.i1.pp188-196 |
| spellingShingle | Peizhi, Wang Mohamed, Raihani Mustapha, Norwati Manshor, Noridayu The research on the signal source number estimation algorithm |
| title | The research on the signal source number estimation algorithm |
| title_full | The research on the signal source number estimation algorithm |
| title_fullStr | The research on the signal source number estimation algorithm |
| title_full_unstemmed | The research on the signal source number estimation algorithm |
| title_short | The research on the signal source number estimation algorithm |
| title_sort | research on the signal source number estimation algorithm |
| url | http://psasir.upm.edu.my/id/eprint/113757/ http://psasir.upm.edu.my/id/eprint/113757/ http://psasir.upm.edu.my/id/eprint/113757/ http://psasir.upm.edu.my/id/eprint/113757/1/113757.pdf |