Through the Wall Human Signature Detection using Principle Component Analysis (PCA)

dc.contributor.author	Singh V.; Bhattacharyya S.; Jain P.K.
dc.date.accessioned	2025-05-24T09:31:58Z
dc.description.abstract	Life sign signal detection through the wall suffers from strong clutter due to the boundary of a dielectric wall and other environmental noises. Principle component analysis (PCA) method is applied to enhance the information of a life target beyond the boundary by suppressing the undesired clutter. The effect of this clutter reduction makes the low-frequency variation of heartbeat detectable in further moving target indicator (MTI) processing step. The detection result of a human subject is represented in a Range-Doppler plane, from which the location and the characteristics of the subject have been determined. © 2018 IEEE.
dc.identifier.doi	https://doi.org/10.1109/APUSNCURSINRSM.2018.8609027
dc.identifier.uri	http://172.23.0.11:4000/handle/123456789/17583
dc.relation.ispartofseries	2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings
dc.title	Through the Wall Human Signature Detection using Principle Component Analysis (PCA)

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