Phase Noise Reduction and Tracking in OFDM Using Extended Kalman Filter

Author

Bensan, M. ; Kirar, V.P.S. ; Burse, Kavita

Author_Institution

Oriental Collage of Technol., Bhopal, India

fYear

2012

fDate

3-5 Nov. 2012

Firstpage

402

Lastpage

406

Abstract

The performance of an OFDM system can be strongly degraded by the presence of random phase noise especially if a system design targets high data rates at high carrier frequencies. Phase noise affects the OFDM system by constellation rotation i.e. the common phase error (CPE) and causes inter carrier interference (ICI). In this paper we propose an algorithm for phase noise reduction using an extended Kalman filter (EKF) and compare its performance with maximum likelihood estimation (MLE). Simulation results for QAM and PSK show the effectiveness of the presented algorithm.

Keywords

Kalman filters; OFDM modulation; interference (signal); maximum likelihood estimation; phase noise; tracking; CPE; EKF; ICI; MLE; OFDM system; common phase error; constellation rotation; extended Kalman filter; high carrier frequencies; high data rates; inter carrier interference; maximum likelihood estimation; phase noise reduction; random phase noise; system design targets; tracking; Bit error rate; Kalman filters; Maximum likelihood estimation; OFDM; Phase noise; Signal to noise ratio; OFDM; extended kalman filter (EKF); phase noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on

Conference_Location

Mathura

Print_ISBN

978-1-4673-2981-1

Type

conf

DOI

10.1109/CICN.2012.161

Filename

6375143