Multiple statuses of through-wall human being detection based on compressed UWB radar data

Wei Wang,Dan Wang,Yu Jiang

doi:10.1186/s13638-016-0706-1

Abstract

Ultra-wideband (UWB) radar is one of the most favorable methods for through-wall human detection due to its strong penetration ability in many common non-metallic obstructions. The paper proposed the residual subspace projection method for multiple statuses of through-wall human being detection behind. And the compressed sensing method was presented to collect incomplete UWB radar data because of its large dimension. The experiments with brick wall and seven statuses were implemented, and the results showed that the proposed algorithm could detect the human being under the multiple statuses in compressed data and uncompressed data. But classification algorithm should be used to distinguish the status.

Highlights

1 Introduction Through-wall human being detection is of considerable interest to police, rescue, security, surveillance, antiterrorism, and so on
2.1 Residual subspace projection and multiple status of through-wall human being detection Let the multiple echo signals of UWB radar could be represented by a matrix X = [x1, x2, ... xL] ∈ RN × L
4 Conclusions We have presented a framework for through-wall human being detection under multiple statuses with P410 UWB radar based on residual subspace projection theory

Summary

Introduction

Through-wall human being detection is of considerable interest to police, rescue, security, surveillance, antiterrorism, and so on. In [3], a signal processing strategy was proposed to track multiple extended targets in a scene by means of a wide-band monostatic through-wall radar This method used the preprocessing of raw data, model-based radar image formation for objection detection and tracking. In [7], a compressive sensing-based through-the-wall imaging algorithm was presented, and the algorithm performance was analyzed with respect to the total number of measurements for different sparsity levels and for varying SNR levels These methods could detect human being effectively, two or more UWB radars were needed and the algorithms were complex. In [8] and [9], the authors proposed some signal processing methods such as discrete Fourier transform, short Fourier transform for periodic respiratory motion of human target detection based on PulsOn 220 UWB radar data.

Multiple status of through-wall human being detection algorithm

Experiments and results

Conclusions