id: 05972592
dt: a
an: 05972592
au: Maherin, Ishrat; Liang, Qilian
ti: An entropy based approach for sense-through foliage target detection using
    UWB radar.
so: Cheng, Yu (ed.) et al., Wireless algorithms, systems, and applications. 6th
    international conference, WASA 2011, Chengdu, China, August 11‒13,
    2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23489-7/pbk).
    Lecture Notes in Computer Science 6843, 180-189 (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: 
ut: target detection; sense through foliage; UWB; entropy; maximum entropy
    method
ci: 
li: doi:10.1007/978-3-642-23490-3_16
ab: Summary: 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.
rv: