Title :
Optimal sequences for channel estimation using discrete Fourier transform techniques
Author :
Tellambura, C. ; Parker, M.G. ; Guo, Y. Jay ; Shepherd, Simon J. ; Barton, Stephen K.
Author_Institution :
Dept. of Electr. & Electron. Eng., Bradford Univ., UK
fDate :
2/1/1999 12:00:00 AM
Abstract :
This paper addresses the problem of selecting the optimum training sequence for channel estimation in communication systems over time-dispersive channels. By processing in the frequency domain, a new explicit form of search criterion is found, the gain loss factor (GLF), which minimizes the variance of the estimation error and is easy to compute. Theoretical upper and lower bounds on the GLF are derived. An efficient directed search strategy and optimal sequences up to length 42 are given. These sequences are optimal only for frequency domain estimation, not for time domain estimation
Keywords :
codes; discrete Fourier transforms; dispersive channels; frequency-domain analysis; optimisation; parameter estimation; search problems; sequences; channel estimation; communication systems; discrete Fourier transform techniques; efficient directed search; estimation error variance minimisation; frequency domain estimation; frequency domain processing; gain loss factor; lower bound; optimal codes; optimal sequences length; optimum training sequence; search criterion; time-dispersive channels; upper bound; Channel estimation; Communication systems; Discrete Fourier transforms; Estimation error; Frequency domain analysis; Frequency estimation; Maximum likelihood estimation; Spread spectrum communication; White noise; Wiener filter;
Journal_Title :
Communications, IEEE Transactions on
