Title :
Channel estimation using aperiodic binary sequences
Author :
Tellambura, C. ; Guo, Y.J. ; Barton, S.K.
Author_Institution :
Dept. of Electr. & Electron. Eng., Bradford Univ., UK
fDate :
5/1/1998 12:00:00 AM
Abstract :
Estimating a channel impulse response using a known aperiodic sequence is considered. The problem can be reduced to minimizing the trace of the inverse of a Toeplitz matrix. An efficient algorithm for computing this trace is developed and optimal binary sequences up to length 32 are found and tabulated. The use of complementary sequences in this context is also investigated. It is shown that the eigenvalues of the autocorrelation matrices of a pair of complementary sequences sum to a known constant.
Keywords :
Toeplitz matrices; binary sequences; correlation methods; digital communication; eigenvalues and eigenfunctions; matrix inversion; parameter estimation; telecommunication channels; transient response; aperiodic binary sequences; autocorrelation matrices; burst transmission; channel estimation; channel impulse response; complementary sequences; digital communication systems; efficient algorithm; eigenvalues; inverse Toeplitz matrix; optimal binary sequences; performance measure; Autocorrelation; Binary sequences; Channel estimation; Context; Covariance matrix; Digital communication; Eigenvalues and eigenfunctions; GSM; Time domain analysis; Wiener filter;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.673660
