Paper Info
Title
Detection Schemes for Weak Signals in First-Order Moving Average of Impulsive Noise
Abstract
In this paper, the detection of weak signals in additive noise described by the first-order moving average (FOMA) of an impulsive process is considered. Specifically, decision regions of the maximum likelihood (ML) and suboptimum ML (S-ML) detectors are derived in the FOMA noise model, and specific examples of the ML and S-ML decision regions are obtained. The ML and S-ML detectors are employed in the antipodal signaling system and compared in terms of bit error rate in an impulsive noise environment. Numerical results show that the S-ML detector, despite its reduced complexity and simpler structure, exhibits practically the same performance as the optimum ML detector. It is also observed that the performance gap between detectors for FOMA and independent and identically distributed noise becomes larger as the degree of noise impulsiveness increases
Year
DOI
Venue
2007
10.1109/TVT.2006.883727
IEEE T. Vehicular Technology
Keywords
Field
DocType
weak signal,impulsive noise,suboptimum scheme,bit error rate,first-order moving average (foma),moving average processes,impulse noise,first-order moving average impulsive process,maximum likelihood detection,dependent noise,suboptimum maximum likelihood detectors,detection,weak signal detection,antipodal signaling system,error statistics,additive noise,independent and identically distributed,moving average,first order,maximum likelihood
Background noise,Detection theory,Electronic engineering,Impulse noise,Independent and identically distributed random variables,Antipodal point,Moving average,Detector,Mathematics,Bit error rate
Journal
Volume
Issue
ISSN
56
1
0018-9545
Citations 
PageRank 
References 
5
0.97
14
Authors
6
Name
Order
Citations
PageRank
In Jong Kim150.97
So Ryoung Park29612.74
Iickho Song355885.31
Jumi Lee4243.56
Hyoungmoon Kwon5606.74
Seok-Ho Yoon625647.78