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LDL Decomposition-based Real-time FPGA Implementation of DOA Estimation

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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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

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