Performance of autofocusing schemes for single target and populated scenes behind unknown walls

Fauzia Ahmad; Moeness G. Amin

doi:10.1117/12.720085

3 May 2007 Performance of autofocusing schemes for single target and populated scenes behind unknown walls

Fauzia Ahmad, Moeness G. Amin

Proceedings Volume 6547, Radar Sensor Technology XI; 654709 (2007) https://doi.org/10.1117/12.720085
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

The quality and reliability of through-the-wall radar imagery is governed, among other things, by the knowledge of the wall characteristics. Ambiguity in wall characteristics has a two-fold effect. It smears and blurs the image, and also shifts the imaged target positions. Higher order standardized moments have been shown to be suitable measures of the degree of smearing and blurriness of through-the-wall images. These moments can be used to tune the wall variables to achieve autofocusing. It is noted that the solution to the autofocusing problem is not unique, and there exist several assumed wall characteristics, in addition to the exact, that lead to similar focused images. In this paper, we analyze the dependency of the estimated autofocusing wall parameters on the imaged scene, specifically target density and location, in the presence of single uniform wall. We consider single and multiple target cases with different scene complexity and population. Supporting simulation results are also provided.

Citation Download Citation

Fauzia Ahmad and Moeness G. Amin "Performance of autofocusing schemes for single target and populated scenes behind unknown walls", Proc. SPIE 6547, Radar Sensor Technology XI, 654709 (3 May 2007); https://doi.org/10.1117/12.720085

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