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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...
In this paper, we propose a multistep information fusion scheme for target detection through foliage and wall, using ultrawideband (UWB) radar sensor networks. We apply an information theory to detect target with poor signal quality in dynamic forest-environment. This method is motivated by the fact that echoes from the stationary target that is obscured by foliage has strong random characteristics...
Compressive sensing provides a new approach to data acquisition and storage. In this paper, we derive some information theory bounds on the performance of noisy compressive sensing to calculate the data rate with particular distortion, which has significant meaning in data storage technique. We analyze the rate distortion performance of noisy compressive sensing under Mean Squared distortion and Hamming...
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