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Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5707
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dc.contributor.authorBhatia, Vimalen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:43:24Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:43:24Z-
dc.date.issued2019-
dc.identifier.citationSingh, U. K., Mitra, R., Bhatia, V., & Mishra, A. K. (2019). Kernel LMS-based estimation techniques for radar systems. IEEE Transactions on Aerospace and Electronic Systems, 55(5), 2501-2515. doi:10.1109/TAES.2019.2891148en_US
dc.identifier.issn0018-9251-
dc.identifier.otherEID(2-s2.0-85059607238)-
dc.identifier.urihttps://doi.org/10.1109/TAES.2019.2891148-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/5707-
dc.description.abstractRelationship between the delay and Doppler shift with the radar return is nonlinear in nature. Therefore, a nonlinear estimator based on sparse kernel least mean square algorithm is proposed. Further, an adaptive kernel width optimization technique is proposed to lower the computational complexity and for simple implementation. An expression for the Cramer-Rao lower bound is derived and validated for the proposed estimator over linear frequency modulated, and orthogonal frequency division multiplexed radar systems. © 1965-2011 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceIEEE Transactions on Aerospace and Electronic Systemsen_US
dc.subjectChirp modulationen_US
dc.subjectCramer-Rao boundsen_US
dc.subjectDoppler effecten_US
dc.subjectDoppler radaren_US
dc.subjectEstimationen_US
dc.subjectFrequency estimationen_US
dc.subjectOrthogonal frequency division multiplexingen_US
dc.subjectDelayen_US
dc.subjectDelaysen_US
dc.subjectKernelen_US
dc.subjectKLMSen_US
dc.subjectOfdm radarsen_US
dc.subjectRKHSen_US
dc.subjectRadar cross sectionen_US
dc.titleKernel LMS-Based Estimation Techniques for Radar Systemsen_US
dc.typeJournal Articleen_US
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