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Stationary planar-surface target detection in an unknown indoor environment

Published online by Cambridge University Press:  25 March 2015

Honghui Yan ,
Qiaozhen Liu  and
Reiner S. Thomä
Honghui Yan*
Affiliation:
Electronic Measurement Research Lab, Institute for Information Technology, Ilmenau University of Technology, Ilmenau 98693, Germany
Qiaozhen Liu
Affiliation:
Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China
Reiner S. Thomä
Affiliation:
Electronic Measurement Research Lab, Institute for Information Technology, Ilmenau University of Technology, Ilmenau 98693, Germany
*
Corresponding author: H. Yan, Email: [email protected]
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Abstract

It is difficult to detect a stationary object in practice, especially in an unknown indoor environment, because (a) there is no distinct speed difference between the targets and the background; (b) responses of the targets are contaminated by dense unknown clutter; (c) a priori knowledge of the background is not always available for some scenarios. In this paper, a set of ultra-wideband sensors are used to detect a stationary target with a planar diffuse surface. It is shown that, the relative spectrum-shifts of the data after data-projection operation, are closely connected to the illumination-angle differences. Based on this, a detector is designed, and the location and the orientation of the target are determined. In order to mitigate the influence of clutters, a “time-shift & accumulation” scheme is designed to enhance the signal. As a consequence, the signal-to-interference-and-noise ratio is increased. In addition, results from measurement in a realistic indoor environment are provided.

Keywords

Radar signal processing and system modelingRadar applicationsStationary target detection
Type
Research Paper
Information
International Journal of Microwave and Wireless Technologies , Volume 8 , Issue 3: Journee Nationale des Micro-ondes (JNM) 2015 , May 2016 , pp. 603 - 613
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2015 

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