Title :
The expectation-maximization Viterbi algorithm for blind adaptive channel equalization
Author :
Nguyen, Hoang ; Levy, Bernard C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, Davis, CA, USA
Abstract :
A blind maximum-likelihood equalization algorithm is described and its convergence behavior is analyzed. Since the algorithm employs the Viterbi algorithm (VA) to execute the expectation step of the expectation-maximization (EM) iteration, we call it the expectation-maximization Viterbi algorithm (EMVA). An EMVA-based blind channel-acquisition technique which achieves a high global convergence probability is developed. The performance of the method is evaluated via numerical simulations under static and fading channel conditions.
Keywords :
adaptive equalisers; blind equalisers; expectation-maximisation algorithm; fading channels; blind adaptive channel equalization; blind maximum-likelihood equalization algorithm; convergence probability; expectation-maximization Viterbi algorithm; expectation-maximization iteration; fading channel; Adaptive equalizers; Blind equalizers; Continuous phase modulation; Convergence; Digital filters; Fading; Hidden Markov models; Parameter estimation; State estimation; Viterbi algorithm; Blind equalization; Rayleigh fading channel; Ricean fading channel; Viterbi algorithm (VA); expectation-maximization (EM) algorithm; expectation-maximization Viterbi algorithm (EMVA);
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2005.857162
