MT-BCS-Based DoA and Bandwidth Estimation of Unknown Signals through Multiple Snapshots Data
The Direction-of-Arrival (DoA) and bandwidth (BW) estimation strategy impinging on a linear array using multiple snapshots data is addressed within the multitask Bayesian Compressive Sensing (MT-BCS). The DoA estimation is used as the reconstruction of sparse signal constrained by the Laplace prior...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2020/6179280 |
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| author | Shi Hui Zhang Qing He Zhang Li Ping Shi Chao Yi Guang Xu Liu |
| author_facet | Shi Hui Zhang Qing He Zhang Li Ping Shi Chao Yi Guang Xu Liu |
| author_sort | Shi Hui Zhang |
| collection | DOAJ |
| description | The Direction-of-Arrival (DoA) and bandwidth (BW) estimation strategy impinging on a linear array using multiple snapshots data is addressed within the multitask Bayesian Compressive Sensing (MT-BCS). The DoA estimation is used as the reconstruction of sparse signal constrained by the Laplace prior through multitask Bayesian Compressive Sensing. Receiving wideband signal data through linear array, the space is divided into I parts according to the equal interval. The data of interest are assumed to be represented as I-dimensional vector, and the wideband signal can be reconstructed accurately using only a small number M. The receiving antenna operates in the frequency range fmin,fmax. Starting from the voltages measured at the output of the array elements at a multiple time instants at fp=fmin+Δf,p=1,…,P, the retrieval of the DoAs is addressed by means of a customized strategy based on MT-BCS in order to correlate the solutions obtained over different frequency samples. The bandwidth of the signals is obtained as a byproduct by identifying at which frequencies the MT-BCS estimations include a signal along the ith (i = 1,…, I) sampling direction. From the outputs of different frequencies, we can know the DoA and BW of signals. A preliminary numerical result is reported to show the behavior of the proposed approach in multiple snapshots data. |
| format | Article |
| id | doaj-art-9b6399c96948471dad8e2a88a4e25d41 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-9b6399c96948471dad8e2a88a4e25d412025-08-20T03:36:58ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772020-01-01202010.1155/2020/61792806179280MT-BCS-Based DoA and Bandwidth Estimation of Unknown Signals through Multiple Snapshots DataShi Hui Zhang0Qing He Zhang1Li Ping Shi2Chao Yi3Guang Xu Liu4The College of Computer and Information, China Three Gorges University, Yichang, ChinaThe College of Computer and Information, China Three Gorges University, Yichang, ChinaThe College of Computer and Information, China Three Gorges University, Yichang, ChinaThe College of Computer and Information, China Three Gorges University, Yichang, ChinaThe College of Computer and Information, China Three Gorges University, Yichang, ChinaThe Direction-of-Arrival (DoA) and bandwidth (BW) estimation strategy impinging on a linear array using multiple snapshots data is addressed within the multitask Bayesian Compressive Sensing (MT-BCS). The DoA estimation is used as the reconstruction of sparse signal constrained by the Laplace prior through multitask Bayesian Compressive Sensing. Receiving wideband signal data through linear array, the space is divided into I parts according to the equal interval. The data of interest are assumed to be represented as I-dimensional vector, and the wideband signal can be reconstructed accurately using only a small number M. The receiving antenna operates in the frequency range fmin,fmax. Starting from the voltages measured at the output of the array elements at a multiple time instants at fp=fmin+Δf,p=1,…,P, the retrieval of the DoAs is addressed by means of a customized strategy based on MT-BCS in order to correlate the solutions obtained over different frequency samples. The bandwidth of the signals is obtained as a byproduct by identifying at which frequencies the MT-BCS estimations include a signal along the ith (i = 1,…, I) sampling direction. From the outputs of different frequencies, we can know the DoA and BW of signals. A preliminary numerical result is reported to show the behavior of the proposed approach in multiple snapshots data.http://dx.doi.org/10.1155/2020/6179280 |
| spellingShingle | Shi Hui Zhang Qing He Zhang Li Ping Shi Chao Yi Guang Xu Liu MT-BCS-Based DoA and Bandwidth Estimation of Unknown Signals through Multiple Snapshots Data International Journal of Antennas and Propagation |
| title | MT-BCS-Based DoA and Bandwidth Estimation of Unknown Signals through Multiple Snapshots Data |
| title_full | MT-BCS-Based DoA and Bandwidth Estimation of Unknown Signals through Multiple Snapshots Data |
| title_fullStr | MT-BCS-Based DoA and Bandwidth Estimation of Unknown Signals through Multiple Snapshots Data |
| title_full_unstemmed | MT-BCS-Based DoA and Bandwidth Estimation of Unknown Signals through Multiple Snapshots Data |
| title_short | MT-BCS-Based DoA and Bandwidth Estimation of Unknown Signals through Multiple Snapshots Data |
| title_sort | mt bcs based doa and bandwidth estimation of unknown signals through multiple snapshots data |
| url | http://dx.doi.org/10.1155/2020/6179280 |
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