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. >
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