Title :
Blind equalisation of IIR channels using hidden Markov models
Author :
Krishnamurthy, Vikram ; Dey, Subhrakanti ; LeBlanc, James P.
Author_Institution :
Dept. of Syst. Eng., Australian Nat. Univ., Canberra, ACT, Australia
fDate :
27 Jun-1 Jul 1994
Abstract :
A computationally inexpensive suboptimal blind equalization algorithm is presented for noisy IIR channels. It is based on combining a recursive hidden Markov model (HMM) estimator with a relaxed SPR (strictly positive real) extended least squares (ELS) scheme. Simulation studies show that the algorithm yields satisfactory results
Keywords :
computational complexity; equalisers; hidden Markov models; interference (signal); least squares approximations; recursive estimation; telecommunication channels; algorithm; computationally inexpensive suboptimal blind equalization algorithm; hidden Markov models; noisy IIR channels; recursive hidden Markov model estimator; strictly positive real extended least squares scheme; Adaptive signal processing; Adaptive systems; Blind equalizers; Hidden Markov models; Physics computing; Recursive estimation; Robustness; Signal processing algorithms; Systems engineering and theory; Yield estimation;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394664
