Spatial polarimetric time-frequency distribution based DOA estimation: combining ESPRIT with MUSIC
Abstract Spatial spectrum estimation technology has always been the focused research project in an array signal processing of High Frequency Surface Wave Radar (HFSWR). This paper takes the polarization sensitive array for the model and combines with time-frequency analysis method for DOA estimation...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2018-03-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-018-1058-9 |
| _version_ | 1818273436967895040 |
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| author | Aijun Liu Fen Li Bo Li Qingbo Liu Xiuhua Shi |
| author_facet | Aijun Liu Fen Li Bo Li Qingbo Liu Xiuhua Shi |
| author_sort | Aijun Liu |
| collection | DOAJ |
| description | Abstract Spatial spectrum estimation technology has always been the focused research project in an array signal processing of High Frequency Surface Wave Radar (HFSWR). This paper takes the polarization sensitive array for the model and combines with time-frequency analysis method for DOA estimation of HFSWR echo signals, which can make full use of the spatial, time-frequency, and polarized domain information of signals. The time-frequency MUSIC and ESPRIT algorithms of integrated polarization information are studied, and the improved algorithm is proposed based on the advantages and disadvantages of both algorithms. The improved algorithm first estimates the azimuth angles of signals roughly with the polarized time-frequency ESPRIT algorithm and then determines a small scope centered on each azimuth. Within the scope, a more accurate DOA-estimated value is got by spectral peak search with MUSIC algorithm, so it can save computation time on the basis of accuracy of the DOA estimation, and their performance is analyzed by computer simulations. |
| first_indexed | 2024-12-12T21:57:57Z |
| format | Article |
| id | doaj.art-cab97ef73da546068e48551f457a18d5 |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-12T21:57:57Z |
| publishDate | 2018-03-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-cab97ef73da546068e48551f457a18d52022-12-22T00:10:35ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992018-03-01201811810.1186/s13638-018-1058-9Spatial polarimetric time-frequency distribution based DOA estimation: combining ESPRIT with MUSICAijun Liu0Fen Li1Bo Li2Qingbo Liu3Xiuhua Shi4School of Information and Electrical Engineering, Harbin Institute of Technology (Weihai)Shanghai Radio Equipment Research InstituteSchool of Information and Electrical Engineering, Harbin Institute of Technology (Weihai)Shanghai Radio Equipment Research InstituteShanghai Radio Equipment Research InstituteAbstract Spatial spectrum estimation technology has always been the focused research project in an array signal processing of High Frequency Surface Wave Radar (HFSWR). This paper takes the polarization sensitive array for the model and combines with time-frequency analysis method for DOA estimation of HFSWR echo signals, which can make full use of the spatial, time-frequency, and polarized domain information of signals. The time-frequency MUSIC and ESPRIT algorithms of integrated polarization information are studied, and the improved algorithm is proposed based on the advantages and disadvantages of both algorithms. The improved algorithm first estimates the azimuth angles of signals roughly with the polarized time-frequency ESPRIT algorithm and then determines a small scope centered on each azimuth. Within the scope, a more accurate DOA-estimated value is got by spectral peak search with MUSIC algorithm, so it can save computation time on the basis of accuracy of the DOA estimation, and their performance is analyzed by computer simulations.http://link.springer.com/article/10.1186/s13638-018-1058-9DOA estimationTime-frequencyPolarization sensitive array |
| spellingShingle | Aijun Liu Fen Li Bo Li Qingbo Liu Xiuhua Shi Spatial polarimetric time-frequency distribution based DOA estimation: combining ESPRIT with MUSIC EURASIP Journal on Wireless Communications and Networking DOA estimation Time-frequency Polarization sensitive array |
| title | Spatial polarimetric time-frequency distribution based DOA estimation: combining ESPRIT with MUSIC |
| title_full | Spatial polarimetric time-frequency distribution based DOA estimation: combining ESPRIT with MUSIC |
| title_fullStr | Spatial polarimetric time-frequency distribution based DOA estimation: combining ESPRIT with MUSIC |
| title_full_unstemmed | Spatial polarimetric time-frequency distribution based DOA estimation: combining ESPRIT with MUSIC |
| title_short | Spatial polarimetric time-frequency distribution based DOA estimation: combining ESPRIT with MUSIC |
| title_sort | spatial polarimetric time frequency distribution based doa estimation combining esprit with music |
| topic | DOA estimation Time-frequency Polarization sensitive array |
| url | http://link.springer.com/article/10.1186/s13638-018-1058-9 |
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