Title :
Blind equalization based on joint minimum MSE criterion
Author_Institution :
Dept. of Electr. Eng., Auburn Univ., AL, USA
Abstract :
A joint minimum mean square error (MSE) criterion is presented for blind adaptive channel equalization of QAM signals. By jointly estimating the transmitted sequence and the equalizer parameters through the minimization of MSE, the equalizer parameters can be optimized and the channel input sequence can be restored at the equalizer output. To improve computational efficiency, a reduced constellation recursive least squares (RLS) algorithm is introduced for blind equalisation. Simulation results show the success of both the least square and the reduced constellation RLS algorithms
Keywords :
amplitude modulation; equalisers; least squares approximations; minimisation; parameter estimation; QAM signals; RLS algorithm; adaptive channel equalization; blind equalisation; channel input sequence; computational efficiency; equalizer parameters; joint minimum mean square error criterion; reduced constellation recursive least squares algorithm; Adaptive equalizers; Algorithm design and analysis; Blind equalizers; Computational efficiency; Computational modeling; Least squares methods; Resonance light scattering; Signal processing algorithms; Signal restoration; Stochastic processes;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.1994.577092
