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

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....

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Bibliographic Details
Published inDigest - IEEE Antennas and Propagation Society. International Symposium (1995) pp. 1975 - 1976
Main Authors Singh, Vineet, Bhattacharyya, Somak, Jain, P. K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2018
Subjects
Clutter
clutter reduction
Handwriting recognition
Heart beat
Life sign detection
MTI
PCA
Principal component analysis
Radar antennas
Radar detection
Range doppler plane
SFCW
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Summary: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.
ISSN:1947-1491
DOI:10.1109/APUSNCURSINRSM.2018.8609027