Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
IEEE Transactions on Mobile Computing
Probability-based optimization of inter-sensing duration and power control in cognitive radio
IEEE Transactions on Wireless Communications
UWB radar sensor networks detection of targets in foliage using short-time Fourier transform
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A propagation environment modeling in foliage
EURASIP Journal on Wireless Communications and Networking - Special issue on radar and sonar sensor networks
Optimal waveform design for UWB radios
IEEE Transactions on Signal Processing - Part I
IEEE Wireless Communications
IEEE Transactions on Wireless Communications - Part 1
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Multiple signal waveforms adaptation in cognitive ultra-wideband radio evolution
IEEE Journal on Selected Areas in Communications - Part 1
Cognitive Medium Access: Constraining Interference Based on Experimental Models
IEEE Journal on Selected Areas in Communications
Impulse Radio UWB Pulse Shaping for Cognitive Radio Applications
Wireless Personal Communications: An International Journal
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Ultra-wideband impulse radio (UWB-IR) sensor network has intensive military and commercial applications. However, the interference between UWB and other existed networks should be casually investigated. In this paper, we consider interference mitigation in UWB sensors in the context of cognitive radio (CR). Firstly, we suggest a general state transition model to characterize the working states evolution of legal networks, also referred to as primary users (PU). Spectrum sensing, used to identify the state of PU, is formulated as detection of a corresponding state sequence. Maximum posterior probability (MAP) criterion is adopted to perform spectrum sensing. By exploring potential gain of state transitions, detection probability for nearby networks is improved significantly. Subsequently, based on the radius basis function neural network (RBF), we present a novel spectrum sculptor to design UWB waveforms. Attributed to the excellent reconfiguration of RBF, our scheme can produce UWB waveforms tracing available spectrums. The designed waveforms can entirely utilize multiple unoccupied bands to maintain uninterrupted communications. Also, sufficient spectral attenuation can be generated in specific bands to mitigate mutual interference between UWB sensors and other networks. Besides, orthogonal waveforms can be easily derived, which either improves transmission performance or provides a flexible accessing strategy for UWB sensors.