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...

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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
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Hee Wook Kim
Kunseok Kang
Do-Seob Ahn
Ho-Jin Lee
description 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.
doi_str_mv 10.1109/ICCE.2010.5418758
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subjects Additive white noise
AWGN
Bit error rate
Channel estimation
High level synthesis
Matrix converters
OFDM
Parameter estimation
Signal to noise ratio
State estimation
title Quasi-newton based Kalman filter channel estimation for OFDM systems
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