Title :
Optimal sequences for efficient estimation of multipath channels
Author_Institution :
Inst. for Telecommun. Res., South Australia Univ., Mawson Lakes, SA, Australia
Abstract :
The goal of this paper is to find training sequences, that when used in conjunction with an efficient estimator for a discrete-time multipath channel with additive white Gaussian noise yield the least possible mean square error in the channel estimate. In order to achieve this goal, we use the Cramer-Rao bound
Keywords :
AWGN; binary sequences; least mean squares methods; maximum likelihood estimation; multipath channels; optimisation; AWGN; Cramer-Rao bound; MLE; additive white Gaussian noise; biased estimation; binary sequences; channel estimate; discrete-time multipath channel; efficient estimation; least mean square error; optimal sequences; training sequences; unbiased estimation; AWGN; Additive white noise; Convolution; Discrete Fourier transforms; Gaussian noise; Lakes; Maximum likelihood estimation; Multipath channels; Telecommunications; Yield estimation;
Conference_Titel :
Spread Spectrum Techniques and Applications, 1998. Proceedings., 1998 IEEE 5th International Symposium on
Conference_Location :
Sun City
Print_ISBN :
0-7803-4281-X
DOI :
10.1109/ISSSTA.1998.726195
