Loading…

Cyclic Prefix-Based OFDM ISAR Imaging

In recent years, orthogonal frequency-division multiplexing (OFDM) synthetic aperture radar (SAR) imaging has been introduced and an inter-range-cell interference (IRCI) free OFDM SAR has also been proposed. In this paper, we use this idea and propose an IRCI free cyclic prefix (CP)-based OFDM inver...

Full description

Saved in:
Bibliographic Details
Published in:Iranian journal of science and technology. Transactions of electrical engineering 2018-06, Vol.42 (2), p.239-249
Main Authors: Hashempour, Hamid Reza, Masnadi-Shirazi, Mohmmad Ali, Sheikhi, Abbas
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c316t-a36b4b849584e194793d4cb3a8b5bb1a7cbe87cfb1e98f84dfc495fe8cbc7403
cites cdi_FETCH-LOGICAL-c316t-a36b4b849584e194793d4cb3a8b5bb1a7cbe87cfb1e98f84dfc495fe8cbc7403
container_end_page 249
container_issue 2
container_start_page 239
container_title Iranian journal of science and technology. Transactions of electrical engineering
container_volume 42
creator Hashempour, Hamid Reza
Masnadi-Shirazi, Mohmmad Ali
Sheikhi, Abbas
description In recent years, orthogonal frequency-division multiplexing (OFDM) synthetic aperture radar (SAR) imaging has been introduced and an inter-range-cell interference (IRCI) free OFDM SAR has also been proposed. In this paper, we use this idea and propose an IRCI free cyclic prefix (CP)-based OFDM inverse synthetic aperture radar (ISAR) imaging which provides a high range resolution ISAR image. However, in order to use this algorithm, the motion parameters of target should be determined. Thus, before applying the algorithm, the motion parameters are estimated through proposing an iterative entropy-based method (IEBM). The proposed imaging algorithm and the IEBM are verified by simulations for CP-based OFDM ISAR.
doi_str_mv 10.1007/s40998-018-0057-5
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2133764177</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2133764177</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-a36b4b849584e194793d4cb3a8b5bb1a7cbe87cfb1e98f84dfc495fe8cbc7403</originalsourceid><addsrcrecordid>eNp1kEFLAzEQhYMoWGp_gLcF8RjNJNlNcqzV6kKlor2HJJtdtrS7NWnB_vumrODJw2Pm8L03w0PoFsgDECIeIydKSUwgieQC5xdoRFnBMUgqLtNOqcQFCHWNJjGuCSFABEsaofvZ0W1al30EX7c_-MlEX2XL-fN7Vn5NP7Nya5q2a27QVW020U9-5xit5i-r2RteLF_L2XSBHYNijw0rLLeSq1xyD4oLxSruLDPS5taCEc56KVxtwStZS17VLrG1l846wQkbo7shdhf674OPe73uD6FLFzUFxkTBQYhEwUC50MeY_ta70G5NOGog-tyHHvrQqQ997kPnyUMHT0xs1_jwl_y_6QT_PF_x</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2133764177</pqid></control><display><type>article</type><title>Cyclic Prefix-Based OFDM ISAR Imaging</title><source>Springer Link</source><creator>Hashempour, Hamid Reza ; Masnadi-Shirazi, Mohmmad Ali ; Sheikhi, Abbas</creator><creatorcontrib>Hashempour, Hamid Reza ; Masnadi-Shirazi, Mohmmad Ali ; Sheikhi, Abbas</creatorcontrib><description>In recent years, orthogonal frequency-division multiplexing (OFDM) synthetic aperture radar (SAR) imaging has been introduced and an inter-range-cell interference (IRCI) free OFDM SAR has also been proposed. In this paper, we use this idea and propose an IRCI free cyclic prefix (CP)-based OFDM inverse synthetic aperture radar (ISAR) imaging which provides a high range resolution ISAR image. However, in order to use this algorithm, the motion parameters of target should be determined. Thus, before applying the algorithm, the motion parameters are estimated through proposing an iterative entropy-based method (IEBM). The proposed imaging algorithm and the IEBM are verified by simulations for CP-based OFDM ISAR.</description><identifier>ISSN: 2228-6179</identifier><identifier>EISSN: 2364-1827</identifier><identifier>DOI: 10.1007/s40998-018-0057-5</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Algorithms ; Computer simulation ; Electrical Engineering ; Engineering ; Entropy ; Frequency division multiplexing ; Inverse synthetic aperture radar ; Orthogonal Frequency Division Multiplexing ; Parameter estimation ; Radar ; Radar imaging ; Research Paper</subject><ispartof>Iranian journal of science and technology. Transactions of electrical engineering, 2018-06, Vol.42 (2), p.239-249</ispartof><rights>Shiraz University 2018</rights><rights>Copyright Springer Science &amp; Business Media Jun 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-a36b4b849584e194793d4cb3a8b5bb1a7cbe87cfb1e98f84dfc495fe8cbc7403</citedby><cites>FETCH-LOGICAL-c316t-a36b4b849584e194793d4cb3a8b5bb1a7cbe87cfb1e98f84dfc495fe8cbc7403</cites><orcidid>0000-0003-1041-3012</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Hashempour, Hamid Reza</creatorcontrib><creatorcontrib>Masnadi-Shirazi, Mohmmad Ali</creatorcontrib><creatorcontrib>Sheikhi, Abbas</creatorcontrib><title>Cyclic Prefix-Based OFDM ISAR Imaging</title><title>Iranian journal of science and technology. Transactions of electrical engineering</title><addtitle>Iran J Sci Technol Trans Electr Eng</addtitle><description>In recent years, orthogonal frequency-division multiplexing (OFDM) synthetic aperture radar (SAR) imaging has been introduced and an inter-range-cell interference (IRCI) free OFDM SAR has also been proposed. In this paper, we use this idea and propose an IRCI free cyclic prefix (CP)-based OFDM inverse synthetic aperture radar (ISAR) imaging which provides a high range resolution ISAR image. However, in order to use this algorithm, the motion parameters of target should be determined. Thus, before applying the algorithm, the motion parameters are estimated through proposing an iterative entropy-based method (IEBM). The proposed imaging algorithm and the IEBM are verified by simulations for CP-based OFDM ISAR.</description><subject>Algorithms</subject><subject>Computer simulation</subject><subject>Electrical Engineering</subject><subject>Engineering</subject><subject>Entropy</subject><subject>Frequency division multiplexing</subject><subject>Inverse synthetic aperture radar</subject><subject>Orthogonal Frequency Division Multiplexing</subject><subject>Parameter estimation</subject><subject>Radar</subject><subject>Radar imaging</subject><subject>Research Paper</subject><issn>2228-6179</issn><issn>2364-1827</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kEFLAzEQhYMoWGp_gLcF8RjNJNlNcqzV6kKlor2HJJtdtrS7NWnB_vumrODJw2Pm8L03w0PoFsgDECIeIydKSUwgieQC5xdoRFnBMUgqLtNOqcQFCHWNJjGuCSFABEsaofvZ0W1al30EX7c_-MlEX2XL-fN7Vn5NP7Nya5q2a27QVW020U9-5xit5i-r2RteLF_L2XSBHYNijw0rLLeSq1xyD4oLxSruLDPS5taCEc56KVxtwStZS17VLrG1l846wQkbo7shdhf674OPe73uD6FLFzUFxkTBQYhEwUC50MeY_ta70G5NOGog-tyHHvrQqQ997kPnyUMHT0xs1_jwl_y_6QT_PF_x</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Hashempour, Hamid Reza</creator><creator>Masnadi-Shirazi, Mohmmad Ali</creator><creator>Sheikhi, Abbas</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7XB</scope><scope>883</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L6V</scope><scope>M0F</scope><scope>M2O</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>PYYUZ</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0003-1041-3012</orcidid></search><sort><creationdate>20180601</creationdate><title>Cyclic Prefix-Based OFDM ISAR Imaging</title><author>Hashempour, Hamid Reza ; Masnadi-Shirazi, Mohmmad Ali ; Sheikhi, Abbas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-a36b4b849584e194793d4cb3a8b5bb1a7cbe87cfb1e98f84dfc495fe8cbc7403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Algorithms</topic><topic>Computer simulation</topic><topic>Electrical Engineering</topic><topic>Engineering</topic><topic>Entropy</topic><topic>Frequency division multiplexing</topic><topic>Inverse synthetic aperture radar</topic><topic>Orthogonal Frequency Division Multiplexing</topic><topic>Parameter estimation</topic><topic>Radar</topic><topic>Radar imaging</topic><topic>Research Paper</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hashempour, Hamid Reza</creatorcontrib><creatorcontrib>Masnadi-Shirazi, Mohmmad Ali</creatorcontrib><creatorcontrib>Sheikhi, Abbas</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Trade &amp; Industry (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East &amp; Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Trade &amp; Industry</collection><collection>Research Library</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>Iranian journal of science and technology. Transactions of electrical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hashempour, Hamid Reza</au><au>Masnadi-Shirazi, Mohmmad Ali</au><au>Sheikhi, Abbas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cyclic Prefix-Based OFDM ISAR Imaging</atitle><jtitle>Iranian journal of science and technology. Transactions of electrical engineering</jtitle><stitle>Iran J Sci Technol Trans Electr Eng</stitle><date>2018-06-01</date><risdate>2018</risdate><volume>42</volume><issue>2</issue><spage>239</spage><epage>249</epage><pages>239-249</pages><issn>2228-6179</issn><eissn>2364-1827</eissn><abstract>In recent years, orthogonal frequency-division multiplexing (OFDM) synthetic aperture radar (SAR) imaging has been introduced and an inter-range-cell interference (IRCI) free OFDM SAR has also been proposed. In this paper, we use this idea and propose an IRCI free cyclic prefix (CP)-based OFDM inverse synthetic aperture radar (ISAR) imaging which provides a high range resolution ISAR image. However, in order to use this algorithm, the motion parameters of target should be determined. Thus, before applying the algorithm, the motion parameters are estimated through proposing an iterative entropy-based method (IEBM). The proposed imaging algorithm and the IEBM are verified by simulations for CP-based OFDM ISAR.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40998-018-0057-5</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-1041-3012</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 2228-6179
ispartof Iranian journal of science and technology. Transactions of electrical engineering, 2018-06, Vol.42 (2), p.239-249
issn 2228-6179
2364-1827
language eng
recordid cdi_proquest_journals_2133764177
source Springer Link
subjects Algorithms
Computer simulation
Electrical Engineering
Engineering
Entropy
Frequency division multiplexing
Inverse synthetic aperture radar
Orthogonal Frequency Division Multiplexing
Parameter estimation
Radar
Radar imaging
Research Paper
title Cyclic Prefix-Based OFDM ISAR Imaging
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T20%3A38%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cyclic%20Prefix-Based%20OFDM%20ISAR%20Imaging&rft.jtitle=Iranian%20journal%20of%20science%20and%20technology.%20Transactions%20of%20electrical%20engineering&rft.au=Hashempour,%20Hamid%20Reza&rft.date=2018-06-01&rft.volume=42&rft.issue=2&rft.spage=239&rft.epage=249&rft.pages=239-249&rft.issn=2228-6179&rft.eissn=2364-1827&rft_id=info:doi/10.1007/s40998-018-0057-5&rft_dat=%3Cproquest_cross%3E2133764177%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c316t-a36b4b849584e194793d4cb3a8b5bb1a7cbe87cfb1e98f84dfc495fe8cbc7403%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2133764177&rft_id=info:pmid/&rfr_iscdi=true