Paper Info
Title
Channel Estimation in OFDM Systems Using a Controlled Superimposition of Training Sequences.
Abstract
This work pertains to the use of superimposed training (ST) for channel estimation in orthogonal frequency division multiplexing (OFDM) based systems. A time domain coherent averaging based channel estimator is derived from the least squares criterion. By exploiting the periodicity of the training sequences in the time domain and inserting zeros instead of data at some of the training sequence subcarrier locations depending on the desired estimation accuracy, a controlled superimposition technique is proposed. This method includes the flexibility to trade off between bandwidth efficiency and performance. The mean squared estimation error (MSEE) performance of such a system is mathematically analyzed and a training sequence selection criterion optimizing the same is proposed. The simulation performance of the scheme is presented in terms of the MSEE and the bit error rate (BER) of the OFDM system. Such a scheme is attractive in high data rate scenarios in closed loop OFDM systems.
Year
DOI
Venue
2010
10.1007/s00034-009-9139-y
Circuits Systems and Signal Processing
Keywords
Field
DocType
Channel estimation, OFDM, Superimposed training
Subcarrier,Time domain,Least squares,Control theory,Computer science,Communication channel,Spectral efficiency,Orthogonal frequency-division multiplexing,Estimator,Bit error rate
Journal
Volume
Issue
ISSN
29
2
1531-5878
Citations 
PageRank 
References 
1
0.40
9
Authors
2
Name
Order
Citations
PageRank
Jinesh P. Nair1115.78
Ratnam V. Raja Kumar2154.87