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Wi-Fi signals have been typically acting as information carriers in modern communication system, but recent research has revealed their powerful capability in detecting and identifying various targets. With Wi-Fi, we can now "see" people's location, activity, and even hand gestures. In this paper, a new method of dynamic gesture recognition using Wi-Fi based on signal processing and machine...
In order to find the optimal feature subset for target recognition in foliage environment, a novel feature selection method based on quantum genetic algorithm (QGA) is proposed in this paper. The real data used to identify the targets were collected by ultra-wideband (UWB) radar system. Support vector machine (SVM) classifier is adopted to evaluate the proposed algorithm. The experimental results...
Ultra WideBand(UWB) Impulse Radio (IR) has huge advantages in target identification for its broad band, good concealment and strong ability to penetrate obstacles. We apply the UWB-IR technology theory in target identification under the foliage environment. It is different from the traditional radar and wireless sensor network (WSN), for it combines forward communication and target identification...
A Cognitive Radio Cloud Network (CRCN) model is proposed for wireless communications in TV White Spaces (TVWS). Making use of the flexible and vast computing capacity of the Cloud, a database and a sparse Bayesian learning (SBL) algorithm are developed for cooperative spectrum sensing (CSS) and implemented on Microsoft's Windows Azure Cloud platform. A medium access control (MAC) scheme is also prototyped...
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