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Proceedings Paper

Real-time subsurface imaging algorithm for intra-wall characterization
Author(s): Wenji Zhang; Ahmad Hoorfar; Christopher Thajudeen
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Paper Abstract

For through-the-wall radar imaging (TWRI), an accurate characterization of the wall is important for the enhancement of imaging of the target behind the wall. In this paper we cast the two-dimensional (2D) wall interior structure imaging as a subsurface imaging problem. The region between the front and back walls is imaged using a novel linear inverse scattering algorithm for 2D subsurface imaging. The imaging algorithm is based on first order Born approximation and exploiting halfspace Green's function. The exploding reflection model is employed and then the Green's function is expanded in the spectral domain to formulate a novel real time intra-wall imaging algorithm. The linearization of the inversion scheme and the employment of FFT/IFFT in the imaging formula make the imaging algorithm suitable in several applications concerning the diagnostics of large probed domain and allow real time processing. A numerical result is presented to show the effectiveness and efficiency of the proposed algorithm for real time intra-wall characterization.

Paper Details

Date Published: 21 June 2011
PDF: 6 pages
Proc. SPIE 8021, Radar Sensor Technology XV, 80210K (21 June 2011); doi: 10.1117/12.884546
Show Author Affiliations
Wenji Zhang, Villanova Univ. (United States)
Ahmad Hoorfar, Villanova Univ. (United States)
Christopher Thajudeen, Villanova Univ. (United States)

Published in SPIE Proceedings Vol. 8021:
Radar Sensor Technology XV
Kenneth I. Ranney; Armin W. Doerry, Editor(s)

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