Sending end equalization optimization method and device and electronic equipment

Abstract

The invention provides a sending end equalization optimization method and device and electronic equipment, belongs to the technical field of computer networks, and solves the problems that people need to consume a large amount of time and energy to manually adjust parameters and misjudgment is possibly caused by experience insufficiency in the prior art. The method comprises the steps of initializing an equalization parameter population of a sending end, wherein the equilibrium parameter population at least comprises a key equilibrium parameter combination of one sending end, and the key equilibrium parameter combination at least comprises one key equilibrium parameter; dividing all the key equalization parameter combinations into a plurality of preset blocks; screening out a target block from the plurality of preset blocks by using a gene algorithm; determining an optimal equilibrium parameter combination from the target block by using a hill climbing algorithm, and determining an optimal equilibrium value based on the optimal equilibrium parameter combination. According to the method, the judgment errors of personnel, especially inexperienced new people, are greatly reduced, and the fine-tune time of the personnel is greatly reduced.

Description

technical field [0001] The present invention relates to the technical field of computer networks, in particular to a sending end balance optimization method, device and electronic equipment. Background technique [0002] Transmit end equalization (TxEQ) is realized through a 3-5 order FIR filter, and the weight of each order is called Cursor coefficient. The influence of these coefficient settings is reflected in the de-emphasis and pre-overshoot of the signal at the sending end. [0003] Before introducing equalization, you need to understand the Serdes system. A Serdes system usually includes three parts: a transmitter (Transmitter, TX), a receiver (Receiver, RX) and a transmission channel (channel). Among them, the transmitter is responsible for serializing the parallel multi-channel signals into a single-channel signal, and sending the signals into the transmission channel. The receiver is responsible for receiving the serial signal and deserializing it into multiple ...

AI Technical Summary

Problems solved by technology

For 100G with 32 ports, one port consists of four 25G channels, so it is necessary to complete the equalization optimization of 32 ports*4 channels. For engineers, it will take a lot of time and energy to manually adjust parameters, and it may be due to Misjudgment due to lack of experience

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