H04L25/03108

Adaptive equalization apparatus and method of using the same
10892727 · 2021-01-12 · ·

Provided are an adaptive equalization apparatus and a method using the same of, for optimizing digital algorithm, responding proactively in dynamic environmental change, and adjusting the monitoring range according to the signal size. The adaptive equalization apparatus includes a first equalizer filter for compensating and outputting for components of a high frequency band of an input signal; a second equalizer filter for, installed in parallel with the first equalizer filter, monitoring the input signal; a size comparison unit for sampling the size of a monitoring signal from the second equalizer filter at each period of an asynchronous clock signal; and a digital control unit for collecting the comparison data in the size comparison unit as changing an equalizer monitoring code to be provided to the second equalizer filter and a reference signal of the size comparison unit, and finding and providing an optimal equalizer control code to the first equalizer filter based on the collected comparison data; wherein the second equalizer filter compensates and outputs the input signal according to an equalizer monitoring code of the digital control unit to find an optimal equalizer control code in the digital control unit.

ADAPTIVE EQUALIZATION APPARATUS AND METHOD OF USING THE SAME
20200274510 · 2020-08-27 ·

Provided are an adaptive equalization apparatus and a method using the same of, for optimizing digital algorithm, responding proactively in dynamic environmental change, and adjusting the monitoring range according to the signal size. The adaptive equalization apparatus includes a first equalizer filter for compensating and outputting for components of a high frequency band of an input signal; a second equalizer filter for, installed in parallel with the first equalizer filter, monitoring the input signal; a size comparison unit for sampling the size of a monitoring signal from the second equalizer filter at each period of an asynchronous clock signal; and a digital control unit for collecting the comparison data in the size comparison unit as changing an equalizer monitoring code to be provided to the second equalizer filter and a reference signal of the size comparison unit, and finding and providing an optimal equalizer control code to the first equalizer filter based on the collected comparison data; wherein the second equalizer filter compensates and outputs the input signal according to an equalizer monitoring code of the digital control unit to find an optimal equalizer control code in the digital control unit.

Apparatuses and methodologies for decision feedback equalization using particle swarm optimization

Methods and apparatuses are provided for channel equalization in a communication system. The method includes initializing, using processing circuitry, filter coefficients of an adaptive decision feedback equalizer randomly in a predetermined search space. Further, the method includes updating, using the processing circuitry, the filter coefficients. The filter coefficients are updated using a least mean square recursion when the filter coefficients are stagnant. The filter coefficients are updated using a particle swarm optimization procedure when the filter coefficients are not stagnant. Further, the updating step is repeated until a predetermined stopping criteria is met. Further, the method includes, filtering, using the processing circuitry, a received signal using the filter coefficients.

APPARATUSES AND METHODOLOGIES FOR DECISION FEEDBACK EQUALIZATION USING PARTICLE SWARM OPTIMIZATION

Methods and apparatuses are provided for channel equalization in a communication system. The method includes initializing, using processing circuitry, filter coefficients of an adaptive decision feedback equalizer randomly in a predetermined search space. Further, the method includes updating, using the processing circuitry, the filter coefficients. The filter coefficients are updated using a least mean square recursion when the filter coefficients are stagnant. The filter coefficients are updated using a particle swarm optimization procedure when the filter coefficients are not stagnant. Further, the updating step is repeated until a predetermined stopping criteria is met. Further, the method includes, filtering, using the processing circuitry, a received signal using the filter coefficients.