Abstract
In this paper, we propose a novel coprime array adaptive beamforming algorithm based on virtual array spatial spectrum estimation to enhance the degrees-of-freedom (DOFs) capability. Specifically, the coprime array received signals are derived to virtual domain, where the spectrum estimation is performed on an equivalent virtual uniform linear array. Since the virtual array contains more virtual sensors than physical sensors, the DOFs capability is effectively enhanced. Meanwhile, the large array aperture offered by coprime array provides a higher resolution than uniform linear array. With the estimated sources' directions and interferences' power, the coprime array adaptive beamformer is designed by reconstructing the interference-plus-noise covariance matrix and desired signal steering vector. Simulation results demonstrate the effectiveness of the proposed adaptive beamforming algorithm.
| Original language | English |
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| Title of host publication | 2017 IEEE Radar Conference, RadarConf 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1357-1361 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781467388238 |
| DOIs | |
| State | Published - 7 Jun 2017 |
| Externally published | Yes |
| Event | 2017 IEEE Radar Conference, RadarConf 2017 - Seattle, United States Duration: 8 May 2017 → 12 May 2017 |
Publication series
| Name | 2017 IEEE Radar Conference, RadarConf 2017 |
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Conference
| Conference | 2017 IEEE Radar Conference, RadarConf 2017 |
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| Country/Territory | United States |
| City | Seattle |
| Period | 8/05/17 → 12/05/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Adaptive beamforming
- Coprime array
- Degree-of-freedom
- Reconstruction
- Virtual array