PAM-N Signal Pre-Equalization for Eye Tilt Correction
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Solution Overview
Problem
The bit error rate of signals transmitted by communication devices is high due to signal eye pattern distortion, particularly in devices using DML, VCSEL, EML, and microloop components, which affects effective communication.
Innovation Solution
A signal processing method that determines a distortion parameter of the eye pattern, sets equalizer coefficients based on this parameter, and performs anti-distortion preprocessing on single-time sampled signals to correct signal tilt, thereby reducing bit error rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the transmitting unit transmits a signal directly without preprocessing, then the transmission process is simple and fast, but the signal eye pattern becomes tilted and the bit error rate increases
Solution Approach 1:
The patent applies preliminary action by performing anti-distortion preprocessing on the signal before transmission. The processing unit calculates distortion parameters based on the eye pattern tilt and pre-compensates the signal by adjusting equalizer coefficients. This preliminary correction ensures that when the signal passes through the transmitting unit, the distortion is already compensated, resulting in a reduced bit error rate without requiring complex real-time correction at the receiver.
2Reliability
If the equalizer processes multi-time sampled signals, then the signal processing capability is enhanced, but the power consumption of the processing unit increases
Solution Approach 1:
The patent extracts and processes only the essential single-time sampled signal components that contain the distortion information, rather than processing all multi-time sampled signals. The processing unit focuses on calculating distortion parameters from representative signal samples and applies correction only where needed. This selective processing approach maintains signal quality while significantly reducing the computational load and power consumption compared to processing all multi-time sampled signals.
Data Source
AI summary
A signal processing method and apparatus, and a communication system, and relates to the field of communication technologies. The method includes: a processing unit of a first device first determines a distortion parameter of an eye pattern of a first PAM-N signal transmitted by a transmitting unit in the first device, then performs anti-distortion preprocessing on a second PAM-N signal using an equalizer based on the distortion parameter, to obtain a third PAM-N signal, and controls the transmitting unit to transmit the third PAM-N signal. The distortion parameter is for reflecting a tilt status of the eye pattern, and N≥2. The equalizer is used to perform anti-distortion preprocessing on the second PAM-N signal to obtain the third PAM-N signal.