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
fDate :
3/1/1994 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on