An entropy based approach for sense-through foliage target detection using UWB radar

Authors:
Ishrat Maherin;Qilian Liang
Affiliations:
Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX;Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX
Venue:
WASA'11 Proceedings of the 6th international conference on Wireless algorithms, systems, and applications
Year:
2011

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Abstract

In this paper, we study, sense-through foliage target detection using ultra wide-band (UWB) radars. Target detection through foliage is an ongoing research interest due to the complexity of the environment. Foliage is a time varying and rich scattering environment due to the presence of unwanted echoes and movement of the branches of trees. After analyzing the characteristics of different echoes (with and without target), we found more random phenomenon in the targeted region. This leads us to propose a target detection algorithm, an entropy based approach. Entropy is an established method for detecting randomness and capable of handling high amount of data with minimal processing time. When echoes are in good quality, the detection of target can be achieved by applying our method. This is a novel approach based on information theory. We also analyzed the theoretical method of threshold detection by maximum entropy method (MEM). The performance of the algorithm was evaluated, based on real world data.