In case of blind equalization, information about reference input is not available. Thus channel modeling using NLMS, RLS or even Kalman filter is really difficult. Because weight update needs the information about desired or reference input.
I had effective equalization for GSM-signals with the ' general eigenvector algorithm for blind equalizatio',
Jelonnek, Boss, Kammeyer, Elsevier Signal Processing 61 (1997, pp. 237-264)
you can take the simplest one NLMS combined with a Blind Source Separation, it give a better performances, instead of using only Adaptive filter.
I have tries "a_nonSchmid_110" or "a_nS" in the material.yaml file, but none of these works. Help is highly appreciated.
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