Performance of Ds/ssma Communications in Impulsive Channels (Nongaussian, Hard Limiter)
Aazhang, Behnaam
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/69340
Description
Title
Performance of Ds/ssma Communications in Impulsive Channels (Nongaussian, Hard Limiter)
Author(s)
Aazhang, Behnaam
Issue Date
1986
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Abstract
Performance of digital linear and nonlinear correlation receivers is studied in a multi-user environment. There are assumed to be two types of sources interfering with data transmission: multiple-access interference, and additive channel noise, which is attributed to impulsive noise sources in the environment. The contribution of multiple-access interference is examined by considering K users transmitting simultaneously over a linear channel using the binary PSK direct-sequence SSMA technique. Alternatively, the effects of the non-Gaussian impulsive channel in such a system are studied by modeling the samples of noise after front-end filtering. The performance of hard-limiting correlation receivers is compared with that of conventional linear correlation receivers in such channels by exact computation of the average bit error probabilities of these two systems. It is seen that hard-limiting correlation receivers can offer substantial improvement over the conventional linear correlator when the additive non-Gaussian channel noise exhibits impulsive behavior. Due to computational complexity, the exact analysis is limited here to systems utilizing short spreading sequences. Computationally simple methods are proposed for approximating the average error probability of the linear and hard-limiting correlation receivers when the length of the signature sequences is large. Furthermore, for linear and nonlinear correlation receivers some asymptotic results are obtained for the case of infinitely long sequences. Finally, to broaden the suboptimum DS/SSMA receiver analysis the performance of the soft-limiting correlation receiver is studied in this impulsive and multi-user environment.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
