Abstract
Narrow band interference (NBI) deteriorates the quality of the spectrum, leading to a poorer performance of modern universal mobile telecommunication system (UMTS) spread spectrum systems. The linear prediction algorithm is one of the most significant techniques to overcome NBI and enhance the performance of UMTS systems. In this paper, a modified linear prediction algorithm is proposed for NBI suppression in a conditionally stationary environment. This modification improves the error energy estimation in the auto-regression model of the linear prediction. The convergence of the proposed algorithm is evaluated, and its robustness is verified using Kullback-Leibler metrics for conditionally stationary NBI signals. Computer simulations are carried out, and the obtained results demonstrate the performance of the proposed algorithm and its compliance with UMTS protocols.
| Original language | English |
|---|---|
| Pages (from-to) | 147-154 |
| Number of pages | 8 |
| Journal | Wireless Communications and Mobile Computing |
| Volume | 15 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jan 2015 |
Bibliographical note
Publisher Copyright:Copyright © 2012 John Wiley & Sons, Ltd.
Keywords
- Convergence
- Information dispersancy
- Linear prediction
- Narrowband interference
- Symbol error rate
ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications
- Electrical and Electronic Engineering