Calibration of scale factor in adaptive equalizers
AssigneeIntel Corporation
InventorsGanesh Balamurugan, Bryan K. Casper, James E. Jaussi, Stephen R. Mooney
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AssigneeIntel Corporation
InventorsGanesh Balamurugan, Bryan K. Casper, James E. Jaussi, Stephen R. Mooney
Estimating the term…
An adaptive equalizer finite impulse response (FIR) filter for high-speed communication channels with modest complexity, where the filter is iteratively updated during a training sequence by a circuit performing the update: h(t+1)= h(t)+μ[sgn{d(t)}−sgn{z(t)−Kd(t)}]sgn{ x(t)}, where h(t) is the filter vector representing the filter taps of the FIR filter, x(t) is the data vector representing present and past samples of the received data x(t), d(t) is the desired data used for training, z(t) is the output of the FIR filter, μ determines the memory or window size of the adaptation, and K is a scale factor taking into account practical limitations of the communication channel, receiver, and equalizer. Furthermore, a procedure and circuit structure is provided for calibrating the scale factor K.
A circuit to calibrate a scalar in an adaptive equalizer during a training sequence, the circuit comprising:
A computer system for use in calibrating a scalar in an adaptive equalizer during a training sequence comprising:
A method to calibrate a scale factor in an adaptive equalizer, the scale factor being used to multiply a sequence of desired voltages used in updating the equalizer during a training sequence, the method comprising:
A method to calibrate a scale factor in an adaptive equalizer, the scale factor being used to multiply a sequence of desired voltages used in updating the equalizer during a training sequence, the method comprising:
A method to calibrate a scale factor in an adaptive egualizer, the scale factor being used to multiply a sequence of desired voltages used in updating the equalizer during a training sequence, the method comprising:
Dependencies are inferred from the claim text.