Anomaly detection in big data from UWB radars

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Abstract

The definitions of big data and anomaly detection are presented. The theory of ultra-wideband radar and the through-wall detection of a human model based on ultra-wideband radar are briefly introduced. The target criterion with wavelet packet transform is deduced, and the procedure for the through-wall human detection with statistical process control is constructed. The radar echo signals are collected at stationary and moving statuses of a human being for three types of walls. The experimental results demonstrate the effective of through-wall target detection based on the proposed algorithm. Copyright © 2013 John Wiley & Sons, Ltd.

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