Detection of Array Signal Number With Multiple Sensors Based on Transfer Component Analysis
The conventional algorithms for estimating number of array signals are only suitable for the background of Gaussian white noise, and need many snapshots, but their performance will reduce seriously in the circumstance of impulse noise and small samples. Therefore, a new method of detecting array sig...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8826275/ |
| _version_ | 1818877557861253120 |
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| author | Jiaqi Zhen |
| author_facet | Jiaqi Zhen |
| author_sort | Jiaqi Zhen |
| collection | DOAJ |
| description | The conventional algorithms for estimating number of array signals are only suitable for the background of Gaussian white noise, and need many snapshots, but their performance will reduce seriously in the circumstance of impulse noise and small samples. Therefore, a new method of detecting array signal number with multiple sensors based on transfer component analysis is proposed in this paper. First, the array signals in Gaussian white and impulse noise are respectively modeled. Then the received array data are transformed into a common hidden space by the mapping function, thus, data in the hidden space have the same distribution, and most initial characteristics are retained. Finally, a support vector machine or K-means clustering are used for classifying the mapped data into two categories, on this basis, the array signal number can be estimated. |
| first_indexed | 2024-12-19T14:00:11Z |
| format | Article |
| id | doaj.art-7d6e7fff6fac4f3e8ac47421eafd6f68 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T14:00:11Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7d6e7fff6fac4f3e8ac47421eafd6f682022-12-21T20:18:28ZengIEEEIEEE Access2169-35362019-01-01712867612868310.1109/ACCESS.2019.29398658826275Detection of Array Signal Number With Multiple Sensors Based on Transfer Component AnalysisJiaqi Zhen0https://orcid.org/0000-0002-7516-0186College of Electronic Engineering, Heilongjiang University, Harbin, ChinaThe conventional algorithms for estimating number of array signals are only suitable for the background of Gaussian white noise, and need many snapshots, but their performance will reduce seriously in the circumstance of impulse noise and small samples. Therefore, a new method of detecting array signal number with multiple sensors based on transfer component analysis is proposed in this paper. First, the array signals in Gaussian white and impulse noise are respectively modeled. Then the received array data are transformed into a common hidden space by the mapping function, thus, data in the hidden space have the same distribution, and most initial characteristics are retained. Finally, a support vector machine or K-means clustering are used for classifying the mapped data into two categories, on this basis, the array signal number can be estimated.https://ieeexplore.ieee.org/document/8826275/Array signal numbertransfer component analysisimpulse noisesupport vector machineK-means clustering |
| spellingShingle | Jiaqi Zhen Detection of Array Signal Number With Multiple Sensors Based on Transfer Component Analysis IEEE Access Array signal number transfer component analysis impulse noise support vector machine K-means clustering |
| title | Detection of Array Signal Number With Multiple Sensors Based on Transfer Component Analysis |
| title_full | Detection of Array Signal Number With Multiple Sensors Based on Transfer Component Analysis |
| title_fullStr | Detection of Array Signal Number With Multiple Sensors Based on Transfer Component Analysis |
| title_full_unstemmed | Detection of Array Signal Number With Multiple Sensors Based on Transfer Component Analysis |
| title_short | Detection of Array Signal Number With Multiple Sensors Based on Transfer Component Analysis |
| title_sort | detection of array signal number with multiple sensors based on transfer component analysis |
| topic | Array signal number transfer component analysis impulse noise support vector machine K-means clustering |
| url | https://ieeexplore.ieee.org/document/8826275/ |
| work_keys_str_mv | AT jiaqizhen detectionofarraysignalnumberwithmultiplesensorsbasedontransfercomponentanalysis |