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Using CFAR algorithm to further improve a combined through-wall imaging method

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6 Author(s)
Omar Benahmed daho ; Laboratory of Informatics Image and Interaction (L3i), La Rochelle University, France ; Jamal Khamlichi ; Olivier Chappe ; Bruno Lescalier
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This paper presents a novel way to increase the detection/localization performance of a through-the-wall radar. In one hand, the false negative detection is reduced by combining the backprojection and the trilateration algorithms. In the other hand, the false positive detection is reduced by using a Constant False Alarm Rate (CFAR) algorithm. Hence, we show that the detection/localization performance of the resulting imaging module is improved. The whole processing pipeline of our ultra wideband (UWB) multistatic pulse radar system is described. We specifically focus on the combination of backprojection and trilateration and the use of CFAR algorithm. Simulations and experiments indicate that our combined method outperforms the other presented method.

Published in:

Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European

Date of Conference:

27-31 Aug. 2012