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Memory Optimization for FPGA Implementation of Correlation-Based Beamforming

Title
Memory Optimization for FPGA Implementation of Correlation-Based Beamforming
Type
Article in International Conference Proceedings Book
Year
2024
Authors
Avelar, H
(Author)
Other
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Conference proceedings International
Pages: 196-201
IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)
Porto, PORTUGAL, JUN 25-27, 2024
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Authenticus ID: P-016-W3E
Abstract (EN): This paper proposes a method to avoid using a CORDIC or external memory to process the steering vectors to calculate the pseudospectrum of correlation-based beamforming algorithms. We show that if we decompose the steering vector equation, the size of the matrix to be saved in memory becomes independent of the antenna array size. Besides, the amount of data needed is small enough to be saved in the internal block RAMs of the FPGA SoC. Besides, this method greatly reduces the number of memory accesses, by offloading some processing to hardware, while keeping the frequency at 300MHz with a precision of 0.25 degrees. Finally, we show that this approach is scalable since the complexity grows logarithmically for bigger arrays, and the symmetry in the matrices obtained allows even more compact data.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 6
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