By Topic

A New Representation Theory and Detection Procedures for a Class of Non-Gaussian Channels

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Klose, D. ; Usaecom, Fort Monmouth, N.J. ; Kurz, L.

In this paper, a new representation theory that provides an improved description of the channel statistics of multihop and tropospheric scatter communication links is presented. Two conceptually different representations are developed. These representations, which are based on the deviations from a lognormal distribution, are due to the variable skewness of the lognormal distribution, extremely flexible, and can provide, with the proper choice of parameters, a good approximation of a broad class of non-Gaussian distributions. In addition, since the statistics of these channels are primarily due to multiplicative noise disturbances and the lognormal distribution results from multiplicative events, the presented representations mathematically describe the statistics of these channels in terms of a reference distribution related to their underlying natural processes. The proper application of this representation theory to the problem of signal detection in such non-Gaussian noise environments results in improved near-optimum signal detection systems. These procedures will yield, with an appropriate adjustment of system parameters, near-optimum performance for a large class of non-Gaussian channel noise conditions. In addition, these detectors can be easily implemented in terms of available devices and can be modified to operate in an adaptive mode.

Published in:

Communication Technology, IEEE Transactions on  (Volume:17 ,  Issue: 2 )