Title :
Improved channel estimation using superimposed training
Author :
Ghogho, Mounir ; Swami, Ananthram
Author_Institution :
Sch. of Electr. & Electron. Eng., Leeds Univ., UK
Abstract :
We establish identifiability conditions on the periodic training signals used in a superimposed scheme. Next, we consider optimal weighted channel estimators. We study the class of training signals that minimize the channel-averaged MSE; we then seek sequences in this class that minimize the peak-to-average power ratio.
Keywords :
channel estimation; intersymbol interference; mean square error methods; minimisation; multipath channels; sequences; channel-averaged MSE; identifiability condition; optimal weighted channel estimator; peak-to-average power ratio; periodic training signal; superimposed training; Additive noise; Artificial intelligence; Channel estimation; Impedance; Interference; Multipath channels; Peak to average power ratio; Signal processing; Statistics; Wireless communication;
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2004 IEEE 5th Workshop on
Print_ISBN :
0-7803-8337-0
DOI :
10.1109/SPAWC.2004.1439214
