LDL Decomposition-based Real-time FPGA Implementation of DOA Estimation
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Hussain, Ahmed, Tayem, Nizar and SOLIMAN, Abdel-Hamid (2018) LDL Decomposition-based Real-time FPGA Implementation of DOA Estimation. In: Asilomar 2018, 28-31 October 2018, Pacific Grove, California, USA.
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Asilomar_Conference_paper_draft.pdf - AUTHOR'S ACCEPTED Version (default) Available under License All Rights Reserved. Download (1MB) | Preview |
Abstract or description
An FPGA implementation and real-time experimental verification of proposed direction of arrival (DOA) estimation algorithm employing LDL factorization are
presented in this paper. The proposed algorithm is implemented on a Xilinx FPGA using LabVIEW software and its real-time experimental verification is performed using National Instruments (NI) PXI platform. The proposed method has several advantages over well-known methods which are based on either eigenvalue decomposition (EVD) or singular value decomposition (SVD). It provides faster
execution since LDL factorization requires O(n3/6) number of operations whereas EVD requires O(n3). Results from Matlab simulations and real-time experiments demonstrate the effectiveness of the proposed method. Successful FPGA
compilation reports show low resource usage and faster computation time for LDL-based method compared with QRbased implementations. Performance comparison is done in terms of estimation accuracy, FPGA processing time and
resource utilization.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Faculty: | Previous Faculty of Computing, Engineering and Sciences > Engineering |
| Event Title: | Asilomar 2018 |
| Event Location: | Pacific Grove, California, USA |
| Event Dates: | 28-31 October 2018 |
| Depositing User: | Abdel-Hamid SOLIMAN |
| Date Deposited: | 04 Mar 2019 14:32 |
| Last Modified: | 24 Feb 2023 13:54 |
| URI: | https://eprints.staffs.ac.uk/id/eprint/5419 |
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