Quasi-newton based Kalman filter channel estimation for OFDM systems

In this paper, Kalman filter method has been used for the estimate of time variant channels in OFDM systems. The estimation is based on comb- type pilot in frequency domain. The channel coefficients that belong to the pilot subcarriers are estimated by Kalman filter. To reduce complexity, quasi-Newt...

Full description

Saved in:
Bibliographic Details
Main Authors: Seung-Hyun Nam, Hee Wook Kim, Kunseok Kang, Do-Seob Ahn, Ho-Jin Lee
Format: Conference Proceeding
Language:English
Subjects:
Additive white noise
AWGN
Bit error rate
Channel estimation
High level synthesis
Matrix converters
OFDM
Parameter estimation
Signal to noise ratio
State estimation
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, Kalman filter method has been used for the estimate of time variant channels in OFDM systems. The estimation is based on comb- type pilot in frequency domain. The channel coefficients that belong to the pilot subcarriers are estimated by Kalman filter. To reduce complexity, quasi-Newton methods are adapted for updating the gain of Kalman filter. Then, we can estimate channel parameter except for the inverse matrix which needs high complexity by using quasi-Newton methods.
ISSN:2158-3994
2158-4001
DOI:10.1109/ICCE.2010.5418758