{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:38:37Z","timestamp":1777703917404,"version":"3.51.4"},"reference-count":27,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2019,9,21]],"date-time":"2019-09-21T00:00:00Z","timestamp":1569024000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2020,1,9]]},"abstract":"<jats:p>The frequency modulated continuous wave circular synthetic aperture radar (FMCW CSAR) is a high resolution imaging radar, which plays an important role in target recognition. However, the traditional wave number domain imaging algorithm has a low resolution for the target far from the scene center, which limits its wide applications in CSAR imaging. In this paper, when the targets are sparse or compressible, a circular convolution algorithm based on compressed sensing is proposed to improve the resolution. In the algorithm, the circular convolution and the Fourier transform is used to reduce computation cost. What\u2019s more, the compressed sensing is applied to improve the imaging resolution for the target far from the scene center, which can effectively avoid the complex calculation of the system kernel function in the traditional wave number domain algorithm. Some simulation results illustrate the effectiveness of the proposed method.<\/jats:p>","DOI":"10.3233\/jifs-179393","type":"journal-article","created":{"date-parts":[[2019,9,24]],"date-time":"2019-09-24T14:54:54Z","timestamp":1569336894000},"page":"187-196","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["A circular convolution based on compressed sensing imaging algorithm for FMCW CSAR"],"prefix":"10.1177","volume":"38","author":[{"given":"Depeng","family":"Song","sequence":"first","affiliation":[{"name":"College of Information Engineering, Engineering University of PAP xi\u2019an shanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Binbing","family":"Li","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Engineering University of PAP xi\u2019an shanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Qu","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Engineering University of PAP xi\u2019an shanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yijun","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Engineering University of PAP xi\u2019an shanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,9,21]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2553051"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/83.506760"},{"key":"e_1_3_2_4_2","doi-asserted-by":"crossref","unstructured":"K.Leilei W.Xiaoqing and C.Jisong An Improved Wavenumber Domain Algorithm for Circular SAR and Cylindrical Reconstruction Areas[C] Synthetic Aperture Radar 2009 APSAR 2009 2nd Asian-Pacific Conference 2009 pp. 67\u201370.","DOI":"10.1109\/APSAR.2009.5374304"},{"issue":"10","key":"e_1_3_2_5_2","first-page":"1159","article-title":"An accurate and efficient extended scene simulator for FMCW SAR with static and moving targets[J]","volume":"11","author":"Luo Y.H.","year":"2014","unstructured":"Y.H.Luo, H.J.Song and R.Wang, An accurate and efficient extended scene simulator for FMCW SAR with static and moving targets[J], IEEE Geoscience and Remote Sensing 11(10) (2014), 1159\u20131164.","journal-title":"IEEE Geoscience and Remote Sensing"},{"key":"e_1_3_2_6_2","unstructured":"M.Soumekh Synthetic Aperture Radar Signal Processing with MATLAB Algorithms Wiley New York 1999."},{"issue":"12","key":"e_1_3_2_7_2","first-page":"2802","article-title":"Polar format algorithm for circular synthetic aperture radar[J]","volume":"32","author":"Yun L.","year":"2010","unstructured":"L.Yun, T.Wei-Xian, H.Wen, W.Yan-Ping and W.Yi-Rong, Polar format algorithm for circular synthetic aperture radar[J], Journal of Electronics & Information Technology 32(12) (2010), 2802\u20132807.","journal-title":"Journal of Electronics & Information Technology"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2338396"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2639580"},{"key":"e_1_3_2_10_2","unstructured":"L.Yun H.Wen and T.Weixian Compressed sensing technique for circular SAR Imaging[C] 2009 IET International Radar Conference 2009 pp. 1\u20134."},{"key":"e_1_3_2_11_2","doi-asserted-by":"crossref","unstructured":"G.T.Nash U.I.Cheema R.Ansari et al. Power-efficient RMA SAR imaging using pipelined Non-uniform Fast Fourier Transform[C] Radar Conference (RadarCon) 2015 IEEE IEEE 2015 pp. 1600\u20131604.","DOI":"10.1109\/RADAR.2015.7131253"},{"issue":"11","key":"e_1_3_2_12_2","article-title":"Survey on enhanced anomaly based intrusion detection system using limited labeled data","volume":"5","author":"Patil P.","year":"2017","unstructured":"P.Patil, Survey on enhanced anomaly based intrusion detection system using limited labeled data, International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) 5(11) (2017).","journal-title":"International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE)"},{"key":"e_1_3_2_13_2","doi-asserted-by":"crossref","unstructured":"B.Subiza E.Gimeno-Nieves J.M.Lopez-Sanchez et al. An approach to SAR imaging by means of non-uniform FFTs[C] Geoscience and Remote Sensing Symposium 2003 IGARSS\u201903 Proceedings 2003 IEEE International IEEE 6 (2003) 4089\u20134091.","DOI":"10.1109\/IGARSS.2003.1295371"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2025095"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1137\/0914081"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2009.06.019"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2002.807005"},{"issue":"12","key":"e_1_3_2_18_2","article-title":"A study of DDoS attacks detection using supervised machine learning and a comparative cross-validation","volume":"5","author":"Alawad W.","year":"2017","unstructured":"W.Alawad, M.Zohdy and D.Debnath, A study of DDoS attacks detection using supervised machine learning and a comparative cross-validation, International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) 5(12) (2017).","journal-title":"International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE)"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2009.04.020"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1155\/2010\/367317"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1002\/cmr.a.20126"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2017.1356485"},{"issue":"1","key":"e_1_3_2_23_2","article-title":"Context aware in intermittently connected network routing","volume":"6","author":"Altamimi A.B.","year":"2018","unstructured":"A.B.Altamimi, Context aware in intermittently connected network routing, International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) 6(1) (2018).","journal-title":"International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE)"},{"issue":"9","key":"e_1_3_2_24_2","first-page":"1","article-title":"A sparse SAR imaging method based on multiple measurement vectors model[J]","volume":"297","author":"Ao D.","year":"2017","unstructured":"D.Ao, R.Wang, C.Hu and Y.Li, A sparse SAR imaging method based on multiple measurement vectors model[J], Remote Sensing 297(9) (2017), 1\u201322.","journal-title":"Remote Sensing"},{"key":"e_1_3_2_25_2","unstructured":"H.Oriot and H.Cantalloube Circular SAR imagery for urban remote sensing In Proceedings of the 7th European Conference On Synthetic Aperture Friedrichshafen Geemany 2008 pp. 1\u20134."},{"key":"e_1_3_2_26_2","doi-asserted-by":"crossref","unstructured":"Micro-motion feature extraction of space target based on track-before-detect [J] Journal of Sensors 2017 (2017) Article ID 8723042:1\u201314.","DOI":"10.1155\/2017\/8723042"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/870936"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1049\/cje.2017.06.016"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-179393","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-179393","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-179393","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:39:56Z","timestamp":1777455596000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-179393"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,21]]},"references-count":27,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2020,1,9]]}},"alternative-id":["10.3233\/JIFS-179393"],"URL":"https:\/\/doi.org\/10.3233\/jifs-179393","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,9,21]]}}}