Title :
An Edgewoth series expansion for multipath fading channel densities
Author :
Menemenlis, Nickie ; Charalambous, Charalambos D.
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada
Abstract :
Identifying the statistical characteristics of the received signal in wireless communications plays an important role in the design of different functions of the overall communications system. We demonstrate here that the density of the overall received signal, in multipath fading channels, deviates from the Gaussian, which is traditionally assumed. Using Edgeworth series expansion we provide explicit expressions in calculating this density and we identify the parameters which cause the deviation of this density from Gaussianity. We further provide a few examples illustrating under what conditions the Gaussianity of the overall received signal fails or resumes.
Keywords :
Gaussian channels; fading channels; multipath channels; parameter estimation; series (mathematics); signal detection; statistical analysis; Edgewoth series expansion; Gaussianity; communication system; multipath fading channel densities; parameter identification; received signal density; signal statistical characteristics; wireless communications; Fading; Gaussian channels; Gaussian processes; Power engineering and energy; Signal analysis; Signal design; Signal processing; Statistical analysis; Statistical distributions; Transmitters;
Conference_Titel :
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
Print_ISBN :
0-7803-7516-5
DOI :
10.1109/CDC.2002.1184997
