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Aspect-dependent efficient multipath ghost suppression in TWRI with sparse reconstruction

Published online by Cambridge University Press:  19 June 2017

Ali Hussein Muqaibel ,
Abdi Talib Abdalla ,
Mohammad Tamim Alkhodary  and
Suhail Al-Dharrab
Ali Hussein Muqaibel
Affiliation:
Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia
Abdi Talib Abdalla
Affiliation:
Electronics and Telecommunication Engineering Department, University of Dar es Salaam, Tanzania
Mohammad Tamim Alkhodary*
Affiliation:
Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia
Suhail Al-Dharrab
Affiliation:
Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia
*
Corresponding author: M.T. Alkhodary Email: [email protected]
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Abstract

In through-the-wall radar imaging, multipath propagation can create ghost targets, which can adversely affect the image reconstruction process. However, unlike genuine targets, ghost positions are aspect-dependent, which means their position changes with the transceiver location. This paper proposes efficient ghost suppression methods exploiting aspect dependence feature under compressive sensing framework. This paper proposes a generalized signal model that accommodates for the reflections of the front-wall and target-to-target interactions, making the scheme more practical, yet the knowledge of the location of reflecting geometry is not a requirement as in most of the recent literatures. In addition, the sensing matrix is greatly reduced making the methods more attractive. Moreover, this paper investigates the influence of array configurations by examining two antenna array configurations: multimonostatic, and single-view bistatic configurations. Results based on synthesized data and real experiment show that the proposed method can greatly suppress multipath ghosts and hence increase signal-to-clutter ratio.

Keywords

RadarAntenna designModeling and measurementsAspect dependence
Type
Research Paper
Information
International Journal of Microwave and Wireless Technologies , Volume 9 , Issue 9 , November 2017 , pp. 1839 - 1852
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2017 

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References

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