Mainlobe Interference Suppression Based on Compressive Sensing and Covariance Matrix Reconstruction

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dc.contributor.authorZhao, X.
dc.contributor.authorRen, A.
dc.coverage.issue1cs
dc.coverage.volume33cs
dc.date.accessioned2024-05-28T12:43:34Z
dc.date.available2024-05-28T12:43:34Z
dc.date.issued2024-04cs
dc.description.abstractWhen mainlobe interference exists in space, the traditional anti-interference methods have problems such as peak offset and the performance of sidelobe interference suppression reduction. To solve the above problems, this paper proposes a mainlobe interference suppression method based on compressive sensing and covariance matrix reconstruction. Firstly, an improved compressive sensing algorithm is proposed to accurately estimate the Direction Of Arrival of sources, and then the signal steering vectors and signal subspaces can be established. The mainlobe interference can be suppressed by establishing an oblique projection operator through signal subspaces. Meanwhile, the sidelobe-interference-noise covariance matrix can be reconstructed by the steering vectors, and then the adaptive weight vector is obtained. Simulation results show that the proposed method can form a more robust beam pattern and has better output performance. The proposed method is still effective when the desired signal exists in the received signal.en
dc.formattextcs
dc.format.extent204-212cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2024 vol. 33, iss. 1, s. 204-212. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2024.0204en
dc.identifier.issn1210-2512
dc.identifier.urihttps://hdl.handle.net/11012/245660
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2024/24_01_0204_0212.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectMainlobe interference suppressionen
dc.subjectcompressive sensingen
dc.subjectcovariance matrix reconstructionen
dc.subjectDirection Of Arrival (DOA)en
dc.titleMainlobe Interference Suppression Based on Compressive Sensing and Covariance Matrix Reconstructionen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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