{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T11:20:09Z","timestamp":1780053609655,"version":"3.54.0"},"reference-count":34,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,2,14]],"date-time":"2021-02-14T00:00:00Z","timestamp":1613260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41975005"],"award-info":[{"award-number":["41975005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Clutter cancellation and long time integration are two vital steps for global navigation satellite system (GNSS)-based bistatic radar target detection. The former eliminates the influence of direct and multipath signals on the target detection performance, and the latter improves the radar detection range. In this paper, the extensive cancellation algorithm (ECA), which projects the surveillance channel signal in the subspace orthogonal to the clutter subspace, is first applied in GNSS-based bistatic radar. As a result, the clutter has been removed from the surveillance channel effectively. For long time integration, a modified version of the Fourier transform (FT), called long-time integration Fourier transform (LIFT), is proposed to obtain a high coherent processing gain. Relative acceleration (RA) is defined to describe the Doppler variation results from the motion of the target and long integration time. With the estimated RA, the Doppler frequency shift compensation is carried out in the LIFT. This method achieves a better and robust detection performance when comparing with the traditional coherent integration method. The simulation results demonstrate the effectiveness and advantages of the proposed processing method.<\/jats:p>","DOI":"10.3390\/rs13040701","type":"journal-article","created":{"date-parts":[[2021,2,14]],"date-time":"2021-02-14T08:53:56Z","timestamp":1613292836000},"page":"701","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Clutter Cancellation and Long Time Integration for GNSS-Based Passive Bistatic Radar"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5665-153X","authenticated-orcid":false,"given":"Binbin","family":"Wang","sequence":"first","affiliation":[{"name":"College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Cha","sequence":"additional","affiliation":[{"name":"College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zibo","family":"Zhou","sequence":"additional","affiliation":[{"name":"Air Force Early Warning Academy, Wuhan 430019, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Tian","sequence":"additional","affiliation":[{"name":"College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3495","DOI":"10.3390\/rs12213495","article-title":"Moving Target Detection in Multi-Static GNSS-Based Passive Radar Based on Multi-Bernoulli Filter","volume":"12","author":"Zeng","year":"2020","journal-title":"Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3356","DOI":"10.3390\/rs12203356","article-title":"Moving Target Imaging Using GNSS-Based Passive Bistatic Synthetic Aperture Radar","volume":"12","author":"He","year":"2020","journal-title":"Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2077","DOI":"10.1109\/TAES.2017.2683578","article-title":"Detection and SISAR Imaging of Aircrafts Using GNSS Forward Scatter Radar: Signal Modeling and Experimental Validation","volume":"53","author":"Hu","year":"2017","journal-title":"IEEE Trans. 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