Spatial time-frequency distribution of cross term-based direction-of-arrival estimation for weak non-stationary signal
Abstract In the radar array signal processing direction of arrival (DOA), the estimation of weak non-stationary signal is an important and difficult problem when both strong and weak signals are coexisting particularly because the weak non-stationary signals are often submerged in noise. In this pap...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2019-10-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-019-1555-5 |
| _version_ | 1819064421037637632 |
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| author | Shuai Shao Aijun Liu Changjun Yu Hongjuan Yang Yong Li Bo Li |
| author_facet | Shuai Shao Aijun Liu Changjun Yu Hongjuan Yang Yong Li Bo Li |
| author_sort | Shuai Shao |
| collection | DOAJ |
| description | Abstract In the radar array signal processing direction of arrival (DOA), the estimation of weak non-stationary signal is an important and difficult problem when both strong and weak signals are coexisting particularly because the weak non-stationary signals are often submerged in noise. In this paper, we proposed a novelty method to estimate the direction of arrival (DOA) of weak non-stationary signal in scenario for strong non-stationary interference signals and Gaussian white noise. The method utilizes spatial time-frequency distribution (STFD) of cross terms rather than suppressing cross terms in time-frequency analysis. The STFD of cross terms are introduced as an alternative matrix, which is similar to data covariance matrix in multiple signal classification (MUSIC), for the DOA estimation of a weak non-stationary signal. The cross-term amplitude of the strong and weak signals is usually above the noise and is easier to use than the auto-term of the weak signal. In the cross term, the information of the weak signal is included, and the auto-term of these weak signals is difficult to extract directly. The ability to incorporate the STFD of cross terms empowers information about a weak non-stationary signal for DOA estimation, leading to improved signal estimates for direction finding. The method based on the STFD of cross terms for DOA estimation of the weak non-stationary signal is revealed to outperform the time-frequency MUSIC and traditional MUSIC algorithm by simulation, respectively. This method has the advantages of the time-frequency direction finding method and also deals with the situation of weak signals. When the strong and weak signals exist at the same time and the two angles are similar, the cross-terms can be used to perform DOA estimation on the weak signal. |
| first_indexed | 2024-12-21T15:30:18Z |
| format | Article |
| id | doaj.art-8f35f868a0af4d71ae28ccea4f13447e |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-21T15:30:18Z |
| publishDate | 2019-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-8f35f868a0af4d71ae28ccea4f13447e2022-12-21T18:58:47ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992019-10-012019111210.1186/s13638-019-1555-5Spatial time-frequency distribution of cross term-based direction-of-arrival estimation for weak non-stationary signalShuai Shao0Aijun Liu1Changjun Yu2Hongjuan Yang3Yong Li4Bo Li5School of Information Science and Engineering, Harbin Institute of Technology (Weihai)School of Information Science and Engineering, Harbin Institute of Technology (Weihai)School of Information Science and Engineering, Harbin Institute of Technology (Weihai)School of Information Science and Engineering, Harbin Institute of Technology (Weihai)Science and Technology on Communication Networks LaboratorySchool of Information Science and Engineering, Harbin Institute of Technology (Weihai)Abstract In the radar array signal processing direction of arrival (DOA), the estimation of weak non-stationary signal is an important and difficult problem when both strong and weak signals are coexisting particularly because the weak non-stationary signals are often submerged in noise. In this paper, we proposed a novelty method to estimate the direction of arrival (DOA) of weak non-stationary signal in scenario for strong non-stationary interference signals and Gaussian white noise. The method utilizes spatial time-frequency distribution (STFD) of cross terms rather than suppressing cross terms in time-frequency analysis. The STFD of cross terms are introduced as an alternative matrix, which is similar to data covariance matrix in multiple signal classification (MUSIC), for the DOA estimation of a weak non-stationary signal. The cross-term amplitude of the strong and weak signals is usually above the noise and is easier to use than the auto-term of the weak signal. In the cross term, the information of the weak signal is included, and the auto-term of these weak signals is difficult to extract directly. The ability to incorporate the STFD of cross terms empowers information about a weak non-stationary signal for DOA estimation, leading to improved signal estimates for direction finding. The method based on the STFD of cross terms for DOA estimation of the weak non-stationary signal is revealed to outperform the time-frequency MUSIC and traditional MUSIC algorithm by simulation, respectively. This method has the advantages of the time-frequency direction finding method and also deals with the situation of weak signals. When the strong and weak signals exist at the same time and the two angles are similar, the cross-terms can be used to perform DOA estimation on the weak signal.http://link.springer.com/article/10.1186/s13638-019-1555-5DOA estimationTime-frequency analysisSpatial time-frequency distribution (SFTD)Cross terms |
| spellingShingle | Shuai Shao Aijun Liu Changjun Yu Hongjuan Yang Yong Li Bo Li Spatial time-frequency distribution of cross term-based direction-of-arrival estimation for weak non-stationary signal EURASIP Journal on Wireless Communications and Networking DOA estimation Time-frequency analysis Spatial time-frequency distribution (SFTD) Cross terms |
| title | Spatial time-frequency distribution of cross term-based direction-of-arrival estimation for weak non-stationary signal |
| title_full | Spatial time-frequency distribution of cross term-based direction-of-arrival estimation for weak non-stationary signal |
| title_fullStr | Spatial time-frequency distribution of cross term-based direction-of-arrival estimation for weak non-stationary signal |
| title_full_unstemmed | Spatial time-frequency distribution of cross term-based direction-of-arrival estimation for weak non-stationary signal |
| title_short | Spatial time-frequency distribution of cross term-based direction-of-arrival estimation for weak non-stationary signal |
| title_sort | spatial time frequency distribution of cross term based direction of arrival estimation for weak non stationary signal |
| topic | DOA estimation Time-frequency analysis Spatial time-frequency distribution (SFTD) Cross terms |
| url | http://link.springer.com/article/10.1186/s13638-019-1555-5 |
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