A Conceptual Framework for Knowledge Aided Passive Radar System

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dc.contributor.authorLingadevaru, P.
dc.contributor.authorSrihari, P.
dc.contributor.authorPardhasaradhi, B.
dc.contributor.authorGunnery, S.
dc.date.accessioned2026-02-06T06:36:09Z
dc.date.issued2021
dc.description.abstractSignificant recent radar research has been focused on knowledge aided signal processing, waveform design, detection and target tracking applications. Passive radars have the edge over active radars in spectrum utilization and covert operation for target detection and tracking applications. Passive radars generally use the existing illuminators of opportunity to detect or track the targets. The knowledge pertaining to illuminator of opportunity (IOO) selection, spectrum sensing, and diversity technique can predominantly improve the received signal strength (RSS) at the passive radar receiver. This paper proposes a Conceptual framework to build a Knowledge Aided Passive Radar System (KA-PRS) based on spectrum sensing, IOO selection, and spatial diversity. The mathematical modelling and functional blocks to build the KA - PRS are discussed. The analytical and simulation results reveal that KA-PRS provides improved signal-to-noise (SNR) ratio compared with the traditional passive radar. © 2021 IEEE.
dc.identifier.citationProceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies, 2021, Vol., , p. -
dc.identifier.urihttps://doi.org/10.1109/CONECCT52877.2021.9622679
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/30290
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectilluminator of opportunity
dc.subjectknowledge aided passive radar
dc.subjectpassive radar
dc.subjectspatial diversity
dc.subjectspectrum sensing
dc.titleA Conceptual Framework for Knowledge Aided Passive Radar System

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