A data alternating extraction general structure and its algorithms for adaptive space–time wideband beamforming
The adaptive space-time processing is a well-substantiated method to build a wideband beamformer. This paper proposes a low complexity general structure for the adaptive space-time wideband beamforming. The new general structure uses a data alternating extraction approach for adjacent arrays to redu...
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| Published in | Digital signal processing Vol. 126; p. 103478 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
30.06.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1051-2004 1095-4333 |
| DOI | 10.1016/j.dsp.2022.103478 |
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| Abstract | The adaptive space-time processing is a well-substantiated method to build a wideband beamformer. This paper proposes a low complexity general structure for the adaptive space-time wideband beamforming. The new general structure uses a data alternating extraction approach for adjacent arrays to reduce the scales of received data, resulting in obtaining the optimum adaptive weights with much lower computational complexity. Then, the adaptive wideband beamforming algorithms are proposed for the general structure. Among the novel algorithms, the singular value decomposition alternating extraction frequency constrained Frost beamformer (SVD-AEFCFB) and SVD-AEFC Laguerre beamformer (SVD-AEFCLB) both have an undistorted response to the wideband signal of interest and satisfactory anti-interference capability with the lowest computational complexity. Importantly, the proposed structure and algorithms have the same generalized and popularized characteristics for the other space-time methods. Simulation results highlight the correctness and effectiveness of the proposed methods. |
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| AbstractList | The adaptive space-time processing is a well-substantiated method to build a wideband beamformer. This paper proposes a low complexity general structure for the adaptive space-time wideband beamforming. The new general structure uses a data alternating extraction approach for adjacent arrays to reduce the scales of received data, resulting in obtaining the optimum adaptive weights with much lower computational complexity. Then, the adaptive wideband beamforming algorithms are proposed for the general structure. Among the novel algorithms, the singular value decomposition alternating extraction frequency constrained Frost beamformer (SVD-AEFCFB) and SVD-AEFC Laguerre beamformer (SVD-AEFCLB) both have an undistorted response to the wideband signal of interest and satisfactory anti-interference capability with the lowest computational complexity. Importantly, the proposed structure and algorithms have the same generalized and popularized characteristics for the other space-time methods. Simulation results highlight the correctness and effectiveness of the proposed methods. |
| ArticleNumber | 103478 |
| Author | Sheng, Weixing Kirubarajan, Thia Ma, Xiaofeng Gu, Qiong Zhang, Shurui |
| Author_xml | – sequence: 1 givenname: Shurui orcidid: 0000-0003-2626-199X surname: Zhang fullname: Zhang, Shurui email: shuruizhang@njust.edu.cn organization: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China – sequence: 2 givenname: Qiong surname: Gu fullname: Gu, Qiong organization: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China – sequence: 3 givenname: Xiaofeng orcidid: 0000-0003-0561-6448 surname: Ma fullname: Ma, Xiaofeng organization: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China – sequence: 4 givenname: Weixing surname: Sheng fullname: Sheng, Weixing organization: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China – sequence: 5 givenname: Thia surname: Kirubarajan fullname: Kirubarajan, Thia organization: Department of Electrical and Computer Engineering, McMaster University, Hamilton, Canada |
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| Cites_doi | 10.1109/TAP.1986.1143819 10.1016/j.sigpro.2011.10.022 10.1109/TSP.2006.887134 10.1109/TSP.2011.2125960 10.1016/j.dsp.2018.08.006 10.1109/LCOMM.2014.2357417 10.1016/j.sigpro.2013.09.003 10.1049/mia2.12043 10.1109/LCOMM.2013.022713.130090 10.1016/j.ultras.2018.06.006 10.1109/MSP.2013.2265479 10.1109/TCSI.2013.2256239 10.1109/PROC.1972.8817 10.1109/LSP.2005.856873 10.1016/j.sigpro.2009.06.006 10.1109/TVT.2018.2885596 10.1016/j.sigpro.2016.10.006 10.1016/j.sigpro.2018.05.003 10.1109/JSEN.2015.2431720 10.1109/TAP.2011.2110630 10.1109/TCOMM.2019.2908644 10.1049/iet-spr.2014.0165 |
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| Keywords | Space-time processing Data alternating extraction general structure Adaptive wideband beamformer Low computational complexity |
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| Title | A data alternating extraction general structure and its algorithms for adaptive space–time wideband beamforming |
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