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Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction

Compressive sensing (CS) is as an evolving research area in signal processing due to the advantages offered for signal compression. Based on the sparsity of signals, CS allows the sampling of sparse signals under the sub-Nyquist rate, and yet promises a reliable data recovery. To date, the implement...

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主要な著者: Mohd Nadzri,, Muhammad Muzakkir, Ahmad, Afandi, Tukiran, Zarina
フォーマット: Conference or Workshop Item
言語:English
出版事項: 2020
主題:
TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:http://eprints.uthm.edu.my/6227/1/P12458_6dbbe8c9e913d4e65ac8937a6dcea5be.pdf
http://eprints.uthm.edu.my/6227/
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spelling my.uthm.eprints.62272022-01-31T07:11:24Z http://eprints.uthm.edu.my/6227/ Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction Mohd Nadzri,, Muhammad Muzakkir Ahmad, Afandi Tukiran, Zarina TK Electrical engineering. Electronics Nuclear engineering Compressive sensing (CS) is as an evolving research area in signal processing due to the advantages offered for signal compression. Based on the sparsity of signals, CS allows the sampling of sparse signals under the sub-Nyquist rate, and yet promises a reliable data recovery. To date, the implementation of practical applications of CS in hardware platforms, especially in real-time applications, still faces challenging issues due to the high computational complexity of its algorithms, hence leading to high power-consuming processes. There are several CS reconstruction approaches, and orthogonal matching pursuit (OMP) is one of the best and popular algorithms implemented. However, this algorithm faces two (2) major process issues: optimisation and the least square problem. Due to OMP’s significant contribution, this paper presents an overview of the design issues and challenges of OMP algorithm implementation for CS reconstruction. The fieldprogrammable gate array (FPGA) as a viable hardware solution for OMP implementation is reviewed and discussed based on reconstruction time, signal size, number of measurements, sparsity and features. 2020 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/6227/1/P12458_6dbbe8c9e913d4e65ac8937a6dcea5be.pdf Mohd Nadzri,, Muhammad Muzakkir and Ahmad, Afandi and Tukiran, Zarina (2020) Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction. In: 2020 IEEE Student Conference on Research and Development (SCOReD), 27-28 September 2020, Johor, Malaysia.
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd Nadzri,, Muhammad Muzakkir
Ahmad, Afandi
Tukiran, Zarina
Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction
description Compressive sensing (CS) is as an evolving research area in signal processing due to the advantages offered for signal compression. Based on the sparsity of signals, CS allows the sampling of sparse signals under the sub-Nyquist rate, and yet promises a reliable data recovery. To date, the implementation of practical applications of CS in hardware platforms, especially in real-time applications, still faces challenging issues due to the high computational complexity of its algorithms, hence leading to high power-consuming processes. There are several CS reconstruction approaches, and orthogonal matching pursuit (OMP) is one of the best and popular algorithms implemented. However, this algorithm faces two (2) major process issues: optimisation and the least square problem. Due to OMP’s significant contribution, this paper presents an overview of the design issues and challenges of OMP algorithm implementation for CS reconstruction. The fieldprogrammable gate array (FPGA) as a viable hardware solution for OMP implementation is reviewed and discussed based on reconstruction time, signal size, number of measurements, sparsity and features.
format Conference or Workshop Item
author Mohd Nadzri,, Muhammad Muzakkir
Ahmad, Afandi
Tukiran, Zarina
author_facet Mohd Nadzri,, Muhammad Muzakkir
Ahmad, Afandi
Tukiran, Zarina
author_sort Mohd Nadzri,, Muhammad Muzakkir
title Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction
title_short Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction
title_full Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction
title_fullStr Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction
title_full_unstemmed Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction
title_sort design issues and challenges of an fpga-based orthogonal matching pursuit implementation for compressive sensing reconstruction
publishDate 2020
url http://eprints.uthm.edu.my/6227/1/P12458_6dbbe8c9e913d4e65ac8937a6dcea5be.pdf
http://eprints.uthm.edu.my/6227/
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