DocumentCode
1151711
Title
Binary communications through noisy, non-Gaussian channels
Author
Biyari, Khaled H. ; Lindsey, William C.
Author_Institution
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Volume
40
Issue
2
fYear
1994
fDate
3/1/1994 12:00:00 AM
Firstpage
350
Lastpage
362
Abstract
New and unifying analytical tools are developed and used to evaluate the bit error probability, false alarm and detection probabilities that result when binary information is communicated through a random channel further disturbed by additive white Gaussian noise. The class of channels modeled here are those which envelop the received electric field with an arbitrary space-time complex envelope. The complex Gaussian envelope, being a special case, yields the Rayleigh and Rice fading statistics. Considerable insight into the problem of communicating through a complex non-Gaussian fading channel is obtained by decomposing the performance measures into the sum of two terms, viz., one attributable to the usually assumed complex Gaussian envelope plus a residual performance term expressed as a series expansion in terms of multidimensional Hermite polynomials whose coefficients are the channel quasi-moments. Finally, a numerical example is presented in which the theory is applied to a specific non-Gaussian channel
Keywords
digital communication systems; error statistics; fading; probability; random noise; signal detection; telecommunication channels; white noise; Rayleigh fading statistics; Rice fading statistics; additive white Gaussian noise; binary communications; bit error probability; complex Gaussian envelope; detection probability; false alarm probability; multidimensional Hermite polynomials; noisy nonGaussian channels; performance measures; random channel; received electric field; series expansion; space-time complex envelope; AWGN; Additive white noise; Error probability; Fading; Gaussian noise; Information analysis; Multidimensional systems; Optical scattering; Polynomials; Rayleigh channels; Rayleigh scattering; Signal processing; Signal processing algorithms; Statistics;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.312158
Filename
312158
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