Title :
Blind sequence estimation
Author_Institution :
Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA
fDate :
12/1/1995 12:00:00 AM
Abstract :
Estimating the data sequence from the received signal without knowing the transmission channel is referred to as blind sequence estimation. A new blind sequence estimation scheme is proposed by exploiting the second order statistical properties of the source and the algebraic structure of the data sequence. An optimal source (deterministic) correlation estimator and the Viterbi algorithm are used to achieve blind sequence estimation. The proposed approach also has a special structure particularly attractive for time varying channels
Keywords :
correlation methods; equalisers; estimation theory; maximum likelihood estimation; time-varying channels; Viterbi algorithm; algebraic structure; blind sequence estimation; data sequence estimation; deterministic correlation estimator; optimal source correlation estimator; received signal; second order statistical properties; time varying channels; transmission channel; Adaptive equalizers; Blind equalizers; Convergence; Decision feedback equalizers; Diversity reception; Intersymbol interference; Mobile communication; Modeling; Multipath channels; Viterbi algorithm;
Journal_Title :
Communications, IEEE Transactions on
