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dc.contributor.authorWard, Euan
dc.contributor.authorGishkori, Shahzad Sarwar
dc.contributor.authorMulgrew, Bernard
dc.date.accessioned2021-09-14T07:48:28Z
dc.date.available2021-09-14T07:48:28Z
dc.date.issued2021
dc.identifier.citationWard, E., Gishkori, S., & Mulgrew, B. (2021). Compressive Sensing Technique for Mitigating Nonlinear Memory Effects in Radar Receivers. IEEE Transactions on Aerospace and Electronic Systems, 1–1. doi:10.1109/taes.2021.3112116
dc.identifier.issn2371-9877
dc.identifier.doi10.1109/TAES.2021.3112116
dc.identifier.urihttp://hdl.handle.net/10754/671205
dc.description.abstractReceiver nonlinearities pose a serious risk to the functionality of modern radar as they can compromise the sensors immunity to interfering signals. With the radio frequency (RF) spectrum becoming increasingly crowded, it is now more important than ever that the sensor can maintain system performance when exposed to interference. In this paper, we present a nonlinear compressive sensing (NCS) solution which, unlike the standard nonlinear equalisation (NLEQ) techniques, is designed around the forward nonlinearity rather than the inverse. Importantly, in this study the NCS theory is extended to include nonlinear memory. Furthermore, a radar specific formalisation is derived which allows the NCS algorithm to exploit the unique properties of pulsed-Doppler radar processing. As a result, the NCS solution can successfully restore system sensitivity back to the linear case when in-band interference drives the radar receiver into its nonlinear regime. Additionally, it is shown that the technique can consistently mitigate complex nonlinear memory effects generated in the RF receiver. This is a significant result as it proves that forward modelling techniques are a viable alternative to NLEQ. This is of particular importance to radar systems as they provide a far more explicit formalisation to mitigate nonlinear memory effects.
dc.publisherIEEE
dc.relation.urlhttps://ieeexplore.ieee.org/document/9536427/
dc.relation.urlhttps://ieeexplore.ieee.org/document/9536427/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9536427
dc.rights(c) 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectRadar
dc.subjectMutual Interference
dc.subjectReceiver Nonlinearity
dc.subjectNonlinear Equalization
dc.subjectForward Modelling
dc.subjectNonlinear Optimization
dc.subjectNonlinear Compressive Sensing
dc.titleCompressive Sensing Technique for Mitigating Nonlinear Memory Effects in Radar Receivers
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.identifier.journalIEEE Transactions on Aerospace and Electronic Systems
dc.eprint.versionPost-print
dc.contributor.institutionInstitute for Digital Communications, The University of Edinburgh, 3124 Edinburgh, United Kingdom of Great Britain and Northern Ireland, EH9 3FG
dc.contributor.institutionInstitute for Digital Communications, The University of Edinburgh, 3124 Edinburgh, Edinburgh, United Kingdom of Great Britain and Northern Ireland,
dc.identifier.pages1-1
kaust.personGishkori, Shahzad Sarwar
refterms.dateFOA2021-09-14T10:38:46Z


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