Abstract

To evaluate the performance degradation of a digital communication system, the Middleton's Class A noise model has shown to be a useful model for real interference sources. By varying the model parameter A and Γ, interference from pure Gaussian to a highly impulsive interference can be represented. The digital communication system performance is often determined by using the well-known Gaussian approximation (GA) to determine the bit error probability (BEP) of the system. The GA-approximation has been shown to severely underestimate the BEP for impulsive interference and therefore an earlier proposal, based on a so-called Impulsiveness Correction Factor (ICF) is used to correct the GA-approximation. In earlier work, the ICF has been extended to the case in which the interference signal consists of multiple interference signals. However, a limiting factor in that case is that one of the interference signals has to be dominant in power. In this paper, a simple but useful method is proposed to derive the ICF for a sum of equally distributed Class A-interference signals when none of the signals are dominant in power. This method is a complement to the earlier method and extends the usefulness of the ICF in interference analyses to a wider area of interference signals.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.