Journal ArticleDOI
A nonparametric approach to signal detection in impulsive interference
C.L. Brown,A.M. Zoubir +1 more
TLDR
Simulation results show that a rank-based detector is able to approach the performance of the computationally intensive LO and LOR detectors across a range of values for for /spl alpha/.Abstract:
Impulsive interference poses a challenge to conventional detection techniques. The /spl alpha/-stable distribution, while sometimes providing a good model for impulsive interference, has proven to be no exception. Some of these difficulties have motivated the investigation and development of computationally tractable, locally suboptimum correlation, and rank correlation detectors for signals embedded in impulsive interference modeled as a symmetric /spl alpha/-stable process. The performance of some of these detectors is evaluated and compared with that of the locally optimum (LO), locally optimum rank (LOR), matched filter, and Cauchy detectors. Simulation results show that a rank-based detector is able to approach the performance of the computationally intensive LO and LOR detectors across a range of values for for /spl alpha/.read more
Citations
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Journal ArticleDOI
α-stable interference modeling and cauchy receiver for an IR-UWB Ad Hoc network
TL;DR: This paper investigates ad hoc networks based on impulse radio ultra wideband and proposes receiver strategies (Cauchy receiver and p-norm) that outperforms the classical Gaussian receiver that derives the analytical expression of the two significant parameters.
Journal ArticleDOI
Noise Benefits in Quantizer-Array Correlation Detection and Watermark Decoding
Ashok Patel,Bart Kosko +1 more
TL;DR: A noise-based algorithm for digital watermark decoding using two new noise-benefit theorems for stochastic-resonance noise benefits in ML detection of a signal sequence with known shape but unknown amplitude.
Journal ArticleDOI
A Study on Impulse Noise and Its ModelsPublisher: SAIEE
TL;DR: Performance comparisons in terms of bit error rates for some of the variants of impulse noise models are given, and it can be seen that MC is not always better than SC under impulse noise.
Journal ArticleDOI
Diversity Combining over Rayleigh Fading Channels with Symmetric Alpha-Stable Noise
TL;DR: The bit error rate performance of diversity combining schemes for a single-user communication system operating over Rayleigh flat fading channels subject to impulsive alpha-stable noise, which is known to arise due to network interference from a Poisson field of interference sources is addressed.
Journal ArticleDOI
The BER optimal linear rake receiver for signal detection in symmetric alpha-stable noise
S. Niranjayan,Norman C. Beaulieu +1 more
TL;DR: The proposed receiver is a very simple form of diversity combiner for signal detection in symmetric alpha-stable noise and the bit error rate improvements of the optimal linear Rake receiver over the maximal ratio combiner and the equal gain combiner are derived in the form of signal-to-noise ratio advantage.
References
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Journal ArticleDOI
Robust multiuser detection in non-Gaussian channels
Xiaodong Wang,H.V. Poor +1 more
TL;DR: A subspace-based technique for blind adaptive implementation of the robust multiuser detectors, which requires only the signature waveform and the timing of the desired user in order to demodulate that user's signal.
Journal ArticleDOI
Performance of optimum and suboptimum receivers in the presence of impulsive noise modeled as an alpha-stable process
TL;DR: The performance of optimum receivers, designed to detect signals embedded in impulsive noise which is modeled as an infinite variance symmetric /spl alpha/-stable process, is examined, and it is compared against the performance of several suboptimum receivers.
Journal ArticleDOI
Detection for binary transmission in a mixture of Gaussian noise and impulsive noise modeled as an alpha-stable process
TL;DR: In this paper, the impact of nonGaussian impulsive noise combined with Gaussian noise on the performance of binary transmission is analyzed, where the impulsive noises are modeled as an alpha-stable process and the probability of error for optimum, linear and nonlinear receivers is derived.
Proceedings Article
Approximation of α-stable probability densities using finite Gaussian mixtures
TL;DR: The new analytical model is based on a corollary of the mixing theorem for symmetric α-stable (SαS) random variables which states that a SαS r.v. can be expressed as the product of a Gaussian r.f. and a positive-stable r.d.s.
Journal ArticleDOI
Nonparametric density estimation and detection in impulsive interference channels. I. Estimators
S.M. Zabin,G.A. Wright +1 more
TL;DR: A new detection scheme that approximates the locally optimum nonlinearity is developed, which uses the nonparametric density estimators developed in Part I, and is shown to perform very well for the wide variety of impulsive and heavy tailed densities considered in the study.
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