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| Wall Parameter Error Analysis and Estimation for Through-the-wall SAR Imaging |
| Tan Qin-yan①② Henry Leung② Song Yao-liang① |
①(School of Electronic Engineering & Optoelectronic Technology, Nanjing University of Science & Technology, Nanjing 210094, China)
②(Department of Electrical and Computer Engineering, University of Calgary, Calgary, T2N1N4, Canada) |
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Abstract In through-the-wall SAR imaging, the quality and reliability of the image are governed by the knowledge of wall parameters. Estimation error in wall parameters smears the image, and also causes targets to be imaged away from their true positions. In this paper, the effects of wall-parameter error are analyzed and an autofocusing technique is presented. The technique is based on the Product High-order Ambiguity Function (PHAF) algorithm, which improves the estimation of wall parameters. Simulation results show that this method yields focused images of high quality and the obtained wall parameters are very close to their true values.
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Received: 24 May 2010
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Corresponding Authors:
Tan Qin-yan
E-mail: qinyan.tan@gmail.com
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2011, Vol. 33 
