Title
A Marginalized Particle Filtering-Based Approach For Carrier Frequency Offset And Doubly Selective Channel Estimation In Ofdm Systems
Abstract
In this paper, we propose a new scheme for joint estimation of carrier frequency offset (CFO) and doubly selective channel in orthogonal frequency division multiplexing systems. In the proposed preamble-aided method, first, the time-varying channel is represented using basis expansion model (BEM) which considerably reduces the number of channel parameters to be estimated. Next CFO and BEM coefficients are estimated using principles of particle and Kalman filtering. The performance of the new method in multipath time-varying channels is investigated in comparison with previous schemes. The simulation results indicate a remarkable performance improvement in terms of the mean square errors of CFO and channel estimates.
Year
DOI
Venue
2018
10.1109/ccece.2018.8447668
2018 IEEE CANADIAN CONFERENCE ON ELECTRICAL & COMPUTER ENGINEERING (CCECE)
Field
DocType
ISSN
Multipath propagation,Mean square,Computer science,Particle filter,Carrier frequency offset,Communication channel,Electronic engineering,Kalman filter,Orthogonal frequency-division multiplexing,Performance improvement
Conference
0840-7789
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Hamed Abdzadeh-Ziabari171.90
Wei-Ping Zhu211128.94
M. N. Swamy310418.85