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Enabling Block-Sparse Recovery in Photonics-Based Radars With Multi-Waveform Transmission
This paper proposes a novel signal composed of multiple quasi-orthogonal waveforms, enabling the use of block-sparse recovery (BSR) in a photonics-based radar system. The radar system is built based on millimeter wave and radio-over-fiber technologies, with a central unit connected to a remote unit...
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Published in: | Journal of lightwave technology 2024-04, Vol.42 (7), p.2303-2316 |
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description | This paper proposes a novel signal composed of multiple quasi-orthogonal waveforms, enabling the use of block-sparse recovery (BSR) in a photonics-based radar system. The radar system is built based on millimeter wave and radio-over-fiber technologies, with a central unit connected to a remote unit via optical fibers. The proposed radar signal is transmitted by the system, and a BSR technique is employed to reconstruct the target scene from the reflected signal. An ambiguity-function shaping algorithm is considered for the design of the new radar signal with good correlation properties. Additionally, an innovative method is proposed for constructing the measurement vector and building the dictionary from the designed quasi-orthogonal waveforms. This construction method reduces dictionary coherence and eliminates the need for a high-speed large-memory analog-to-digital converter at the receiver. Experimental and simulation investigations are conducted to evaluate the performance of the radar system employing BSR under different block sizes and fiber lengths. The root- mean-square error (RMSE) and probability of false alarm (PFA) are used as performance metrics. The results demonstrate that the BSR with the new proposed signal significantly enhances the radar system's resolution compared to the conventional matched filtering method. Furthermore, employing BSR with a block size of 3 reduces the RMSE and PFA by approximately 55% and 83%, respectively, compared to the traditional non-BSR method. The study also shows that optical fibers with lengths up to 80 km can be safely used to carry 28 GHz radar signal without introducing noticeable effects on the system's performance. |
doi_str_mv | 10.1109/JLT.2023.3339710 |
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The radar system is built based on millimeter wave and radio-over-fiber technologies, with a central unit connected to a remote unit via optical fibers. The proposed radar signal is transmitted by the system, and a BSR technique is employed to reconstruct the target scene from the reflected signal. An ambiguity-function shaping algorithm is considered for the design of the new radar signal with good correlation properties. Additionally, an innovative method is proposed for constructing the measurement vector and building the dictionary from the designed quasi-orthogonal waveforms. This construction method reduces dictionary coherence and eliminates the need for a high-speed large-memory analog-to-digital converter at the receiver. Experimental and simulation investigations are conducted to evaluate the performance of the radar system employing BSR under different block sizes and fiber lengths. The root- mean-square error (RMSE) and probability of false alarm (PFA) are used as performance metrics. The results demonstrate that the BSR with the new proposed signal significantly enhances the radar system's resolution compared to the conventional matched filtering method. Furthermore, employing BSR with a block size of 3 reduces the RMSE and PFA by approximately 55% and 83%, respectively, compared to the traditional non-BSR method. The study also shows that optical fibers with lengths up to 80 km can be safely used to carry 28 GHz radar signal without introducing noticeable effects on the system's performance.</description><identifier>ISSN: 0733-8724</identifier><identifier>EISSN: 1558-2213</identifier><identifier>DOI: 10.1109/JLT.2023.3339710</identifier><identifier>CODEN: JLTEDG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Analog to digital converters ; Block sparse recovery ; Dictionaries ; False alarms ; Millimeter waves ; multi-waveform ; Optical amplifiers ; Optical attenuators ; Optical fibers ; Optical filters ; Optical receivers ; Performance evaluation ; Performance measurement ; photonic radar ; Photonics ; Radar ; Radar equipment ; Radar systems ; Recovery ; Root-mean-square errors ; Waveforms</subject><ispartof>Journal of lightwave technology, 2024-04, Vol.42 (7), p.2303-2316</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c245t-a1ddec173cd27ba3ee8e50afff67d8309847cf7968999847032879c05828490b3</cites><orcidid>0000-0001-5367-0188 ; 0000-0002-6529-6573 ; 0000-0003-4157-9277 ; 0000-0002-4449-0182 ; 0000-0001-9526-8517</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10342858$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Almohimmah, Esam M.</creatorcontrib><creatorcontrib>Ragheb, Amr M.</creatorcontrib><creatorcontrib>Almaiman, Ahmed</creatorcontrib><creatorcontrib>Aldayel, Omar S.</creatorcontrib><creatorcontrib>Alshebeili, Saleh A.</creatorcontrib><title>Enabling Block-Sparse Recovery in Photonics-Based Radars With Multi-Waveform Transmission</title><title>Journal of lightwave technology</title><addtitle>JLT</addtitle><description>This paper proposes a novel signal composed of multiple quasi-orthogonal waveforms, enabling the use of block-sparse recovery (BSR) in a photonics-based radar system. The radar system is built based on millimeter wave and radio-over-fiber technologies, with a central unit connected to a remote unit via optical fibers. The proposed radar signal is transmitted by the system, and a BSR technique is employed to reconstruct the target scene from the reflected signal. An ambiguity-function shaping algorithm is considered for the design of the new radar signal with good correlation properties. Additionally, an innovative method is proposed for constructing the measurement vector and building the dictionary from the designed quasi-orthogonal waveforms. This construction method reduces dictionary coherence and eliminates the need for a high-speed large-memory analog-to-digital converter at the receiver. Experimental and simulation investigations are conducted to evaluate the performance of the radar system employing BSR under different block sizes and fiber lengths. The root- mean-square error (RMSE) and probability of false alarm (PFA) are used as performance metrics. The results demonstrate that the BSR with the new proposed signal significantly enhances the radar system's resolution compared to the conventional matched filtering method. Furthermore, employing BSR with a block size of 3 reduces the RMSE and PFA by approximately 55% and 83%, respectively, compared to the traditional non-BSR method. The study also shows that optical fibers with lengths up to 80 km can be safely used to carry 28 GHz radar signal without introducing noticeable effects on the system's performance.</description><subject>Algorithms</subject><subject>Analog to digital converters</subject><subject>Block sparse recovery</subject><subject>Dictionaries</subject><subject>False alarms</subject><subject>Millimeter waves</subject><subject>multi-waveform</subject><subject>Optical amplifiers</subject><subject>Optical attenuators</subject><subject>Optical fibers</subject><subject>Optical filters</subject><subject>Optical receivers</subject><subject>Performance evaluation</subject><subject>Performance measurement</subject><subject>photonic radar</subject><subject>Photonics</subject><subject>Radar</subject><subject>Radar equipment</subject><subject>Radar systems</subject><subject>Recovery</subject><subject>Root-mean-square errors</subject><subject>Waveforms</subject><issn>0733-8724</issn><issn>1558-2213</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpNkEtPAjEUhRujiYjuXbho4rpjXzNtl0LwFYwGMcRVUzodKQ5TbAcS_r1DYOHqnsV3zk0-AK4JzgjB6u5lPM0opixjjClB8AnokTyXiFLCTkEPC8aQFJSfg4uUlhgTzqXoga9RY-a1b77hoA72B32sTUwOTpwNWxd30DfwfRHa0Hib0MAkV8KJKTsGzny7gK-buvVoZrauCnEFp9E0aeVT8qG5BGeVqZO7Ot4--HwYTYdPaPz2-Dy8HyNLed4iQ8rSWSKYLamYG-acdDk2VVUVopQMK8mFrYQqpFL7jBmVQlmcSyq5wnPWB7eH3XUMvxuXWr0Mm9h0LzVVglFeiLzoKHygbAwpRVfpdfQrE3eaYL0XqDuBei9QHwV2lZtDxTvn_uGMU5lL9gfra2vp</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Almohimmah, Esam M.</creator><creator>Ragheb, Amr M.</creator><creator>Almaiman, Ahmed</creator><creator>Aldayel, Omar S.</creator><creator>Alshebeili, Saleh A.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-5367-0188</orcidid><orcidid>https://orcid.org/0000-0002-6529-6573</orcidid><orcidid>https://orcid.org/0000-0003-4157-9277</orcidid><orcidid>https://orcid.org/0000-0002-4449-0182</orcidid><orcidid>https://orcid.org/0000-0001-9526-8517</orcidid></search><sort><creationdate>20240401</creationdate><title>Enabling Block-Sparse Recovery in Photonics-Based Radars With Multi-Waveform Transmission</title><author>Almohimmah, Esam M. ; Ragheb, Amr M. ; Almaiman, Ahmed ; Aldayel, Omar S. ; Alshebeili, Saleh A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c245t-a1ddec173cd27ba3ee8e50afff67d8309847cf7968999847032879c05828490b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Analog to digital converters</topic><topic>Block sparse recovery</topic><topic>Dictionaries</topic><topic>False alarms</topic><topic>Millimeter waves</topic><topic>multi-waveform</topic><topic>Optical amplifiers</topic><topic>Optical attenuators</topic><topic>Optical fibers</topic><topic>Optical filters</topic><topic>Optical receivers</topic><topic>Performance evaluation</topic><topic>Performance measurement</topic><topic>photonic radar</topic><topic>Photonics</topic><topic>Radar</topic><topic>Radar equipment</topic><topic>Radar systems</topic><topic>Recovery</topic><topic>Root-mean-square errors</topic><topic>Waveforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Almohimmah, Esam M.</creatorcontrib><creatorcontrib>Ragheb, Amr M.</creatorcontrib><creatorcontrib>Almaiman, Ahmed</creatorcontrib><creatorcontrib>Aldayel, Omar S.</creatorcontrib><creatorcontrib>Alshebeili, Saleh A.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of lightwave technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Almohimmah, Esam M.</au><au>Ragheb, Amr M.</au><au>Almaiman, Ahmed</au><au>Aldayel, Omar S.</au><au>Alshebeili, Saleh A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enabling Block-Sparse Recovery in Photonics-Based Radars With Multi-Waveform Transmission</atitle><jtitle>Journal of lightwave technology</jtitle><stitle>JLT</stitle><date>2024-04-01</date><risdate>2024</risdate><volume>42</volume><issue>7</issue><spage>2303</spage><epage>2316</epage><pages>2303-2316</pages><issn>0733-8724</issn><eissn>1558-2213</eissn><coden>JLTEDG</coden><abstract>This paper proposes a novel signal composed of multiple quasi-orthogonal waveforms, enabling the use of block-sparse recovery (BSR) in a photonics-based radar system. The radar system is built based on millimeter wave and radio-over-fiber technologies, with a central unit connected to a remote unit via optical fibers. The proposed radar signal is transmitted by the system, and a BSR technique is employed to reconstruct the target scene from the reflected signal. An ambiguity-function shaping algorithm is considered for the design of the new radar signal with good correlation properties. Additionally, an innovative method is proposed for constructing the measurement vector and building the dictionary from the designed quasi-orthogonal waveforms. This construction method reduces dictionary coherence and eliminates the need for a high-speed large-memory analog-to-digital converter at the receiver. Experimental and simulation investigations are conducted to evaluate the performance of the radar system employing BSR under different block sizes and fiber lengths. The root- mean-square error (RMSE) and probability of false alarm (PFA) are used as performance metrics. The results demonstrate that the BSR with the new proposed signal significantly enhances the radar system's resolution compared to the conventional matched filtering method. Furthermore, employing BSR with a block size of 3 reduces the RMSE and PFA by approximately 55% and 83%, respectively, compared to the traditional non-BSR method. The study also shows that optical fibers with lengths up to 80 km can be safely used to carry 28 GHz radar signal without introducing noticeable effects on the system's performance.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JLT.2023.3339710</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-5367-0188</orcidid><orcidid>https://orcid.org/0000-0002-6529-6573</orcidid><orcidid>https://orcid.org/0000-0003-4157-9277</orcidid><orcidid>https://orcid.org/0000-0002-4449-0182</orcidid><orcidid>https://orcid.org/0000-0001-9526-8517</orcidid></addata></record> |
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subjects | Algorithms Analog to digital converters Block sparse recovery Dictionaries False alarms Millimeter waves multi-waveform Optical amplifiers Optical attenuators Optical fibers Optical filters Optical receivers Performance evaluation Performance measurement photonic radar Photonics Radar Radar equipment Radar systems Recovery Root-mean-square errors Waveforms |
title | Enabling Block-Sparse Recovery in Photonics-Based Radars With Multi-Waveform Transmission |
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