Signal processing with alpha-stable distributions and applications
Signal processing with alpha-stable distributions and applications
Impulsive Noise Modeling with Stable Distributions in Fading Environments
SSAP '96 Proceedings of the 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing (SSAP '96)
Signal Processing - Signal processing in UWB communications
Improved estimation of the stable laws
Statistics and Computing
Space-time wireless channels
A nonparametric approach to signal detection in impulsiveinterference
IEEE Transactions on Signal Processing
Robust parameter estimation of a deterministic signal in impulsivenoise
IEEE Transactions on Signal Processing
On the asymptotic distribution of the correlation receiver output for time-hopped UWB signals
IEEE Transactions on Signal Processing
A Parametric Approach to Suboptimal Signal Detection in -Stable Noise
IEEE Transactions on Signal Processing
Optimal linear detectors for additive noise channels
IEEE Transactions on Signal Processing
Channel models for ultrawideband personal area networks
IEEE Wireless Communications
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
An Aloha protocol for multihop mobile wireless networks
IEEE Transactions on Information Theory
Exploiting the 60 GHz band for local wireless multimedia access: prospects and future directions
IEEE Communications Magazine
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In this paper we investigate ad hoc networks based on impulse radio ultra wideband. Due to multiple access, the interference distribution is not Gaussian. One important reason for errors is the presence of close interferers generating pulse collision. However such events are rare and we propose an α-stable model compatible with this fact due to its heavy tailed distribution. We derive the analytical expression of the two significant parameters. They depend on the attenuation coefficient, the users' density, the pulse collision probability and the pulse shape. We finally propose receiver strategies (Cauchy receiver and p-norm) that outperforms the classical Gaussian receiver.