Systems and methods that provide frequency domain supplemental training of the time domain equalizer for DMT
View Patent ↗Using a known or later developed time domain equalizer coefficient training algorithm, a least square solution for the time domain equalizer coefficients is taken at a starting point and iteratively improved on. In particular, the improvement is directed towards maximizing number of bits per frame loaded over the time domain equalizer coefficient choice. This can be accomplished by maximizing capacity directly rather than setting a goal to shorten the channel and hoping that the capacity will be maximized as a result.
1. A system that performs supplemental frequency domain training of a time domain equalizer comprising:
a training module that uses an initial solution for time domain equalizer coefficients and determines updated time domain equalizer coefficients by maximizing the number of bits per frame; and
a time domain equalizer that receives the updated time domain equalizer coefficients, wherein the training module further determines a mean squared signal value for each bin, for the given time domain equalizer coefficients.
2. The system of claim 1 , wherein the training module further determines an average error squared value over a predetermined number of frames for each bin.
3. A method that performs supplemental frequency domain training of a time domain equalizer comprising:
receiving a solution of initial time domain equalizer coefficients;
determining updated time domain equalizer coefficients by maximizing, a number of bits per frame; and
forwarding the updated time domain equalizer coefficients to a time domain equalizer, further comprising determining a mean squared signal value for each bin, for the given time domain equalizer coefficients.
4. The method of claim 3 , further comprising determining the average error squared value over a predetermined number of frames for each bin.
5. An information storage media comprising information that performs supplemental frequency domain training of a time domain equalizer comprising:
information that receives initial time domain equalizer coefficients;
information that determines updated time domain equalizer coefficients by maximizing the number of bits per frame; and
information that forwards the updated time domain equalizer coefficients to a time domain equalizer, further comprising information that determines a mean squared signal value for each bin, for the given time domain equalizer coefficients.
6. The information storage media of claim 5 , further comprising information that determines the average error squared value over a predetermined number of frames for each bin.