Skip to main content
padlock icon - secure page this page is secure

Statistical Analysis of Ultra-Wideband Signed Decision Variable

Buy Article:

$106.51 + tax (Refund Policy)

Modeling undesired interference and noise is always a challenge in wireless communication system. The most common model used is the Gaussian distribution. However, studies show that broadband signals tend to exhibit non-Gaussian statistical behavior as compared to narrowband system. In this paper, we study the statistical distribution of ultra-wideband signed decision variable in the presence of inter-symbol interference and multiple access interference. Simulated distribution has been done by collecting the data after passing through the IEEE standard channel model at the equalizer output. Results show that the Generalized Gaussian model with different shape factors is more preferable to be used compared to the Middleton Class-A and Gaussian models.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Generalized Gaussian; Middleton Class-A; Signed Decision Variable; Ultra-Wideband

Document Type: Research Article

Affiliations: Faculty of Engineering, Multimedia University, Jalan Multimedia, Cyberjaya, 63100 Selangor, Malaysia

Publication date: November 1, 2017

More about this publication?
  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more