Entropy Controlled Phase Shift Migration with De-Noising Algorithm for RADAR Body Area Focussing Imaging

Yun Lu; Hui Zhang; Dirk Plettemeier

9th International Conference on Body Area Networks

Research Article

Entropy Controlled Phase Shift Migration with De-Noising Algorithm for RADAR Body Area Focussing Imaging

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.bodynets.2014.257127,
    author={Yun Lu and Hui Zhang and Dirk Plettemeier},
    title={Entropy Controlled Phase Shift Migration with De-Noising Algorithm for RADAR Body Area Focussing Imaging},
    proceedings={9th International Conference on Body Area Networks},
    publisher={ICST},
    proceedings_a={BODYNETS},
    year={2014},
    month={11},
    keywords={human body radar-imaging de-noising compressive sensing human spine},
    doi={10.4108/icst.bodynets.2014.257127}
}

Yun Lu
Hui Zhang
Dirk Plettemeier
Year: 2014
Entropy Controlled Phase Shift Migration with De-Noising Algorithm for RADAR Body Area Focussing Imaging
BODYNETS
ACM
DOI: 10.4108/icst.bodynets.2014.257127

Yun Lu¹^,*, Hui Zhang¹, Dirk Plettemeier¹

1: Technische Universitaet Dresden

*Contact email: yun.lu1@tu-dresden.de

Abstract

In this paper we propose an entropy-based phase shift mi- gration algorithm (EBPSM) combined with a preprocess- ing de-noising step. We apply these algorithms to human body radar-imaging. As measure for the evaluation of the algorithms performance and for comparison with different approaches we chose the detection rate and the false alarm rate. For measurement and simulated data we can demon- strate the benefits of the EBPSM which has a higher de- tection rate while maintaining a lower false alarm rate in comparison to previous algorithms. In addition the EBPSM exhibits good 3D focussing properties yielding proper imag- ing results.

Keywords: human body radar-imaging de-noising compressive sensing human spine

Published: 2014-11-21
Publisher: ICST

: http://dx.doi.org/10.4108/icst.bodynets.2014.257127