DocumentCode
6361
Title
Novel
PDF Approximations and Their Applications in Wireless Signal Detection
Author
Yunfei Chen ; Jiming Chen
Author_Institution
Sch. of Eng., Univ. of Warwick, Coventry, UK
Volume
14
Issue
2
fYear
2015
fDate
Feb. 2015
Firstpage
1080
Lastpage
1091
Abstract
Three new approximations to the probability density function (PDF) of the symmetric alpha stable (SαS) distribution are proposed. The first two approximations use rational functions while the third approximation uses power functions. Using these approximations, new detectors for signals in symmetric alpha stable noise are also derived. Numerical results show that all these new approximations have good accuracies. Numerical results also show that the new detectors based on these approximations outperform the existing detectors, especially when the characteristic exponent of the symmetric alpha stable distribution is small.
Keywords
approximation theory; signal detection; statistical distributions; PDF approximations; SαS distribution; power functions; probability density function; rational functions; signal detector; symmetric alpha stable distribution; symmetric alpha stable noise; wireless signal detection; Accuracy; Detectors; Equations; Least squares approximations; Random variables; Wireless communication; Approximation; bit error rate; detection; symmetric alpha stable;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/TWC.2014.2364181
Filename
6932454
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