Fast error correction algorithm for network transmission protocol

Abstract

The invention discloses a fast error correction algorithm for a network transmission protocol, which comprises the following steps: firstly, predicting a packet loss rate in a video transmission process based on a hidden Markov model, then, carrying out error correction on video transmission through the algorithm based on the packet loss rate predicted in the step S1, and finally, carrying out a simulation experiment and result analysis. According to the fast error correction algorithm for a network transmission protocol, the packet loss rate of data transmission is predicted by using a hidden Markov model, and then an FEC algorithm or an ARQ algorithm is adaptively selected according to the size of a packet loss rate prediction value in a next time period; the optimal RS redundancy value is analyzed, and the average packet loss rate is reduced on the premise that high video reconstruction quality is obtained; and the maximum retransmission times of the ARQ algorithm are calculated and adjusted, so that the network load is prevented from being further increased, and meanwhile, the average time delay of data transmission is reduced.

Description

technical field [0001] The invention has a network transmission protocol fast error correction algorithm. Background technique [0002] Real-time transmission of high-quality video images is a very difficult task for the Internet. Video images are very sensitive to network service quality parameters such as packet loss rate and delay. Network delay and sudden packet loss seriously affect the quality of video reconstruction at the receiving end. Therefore, it has important application value to introduce the error correction control algorithm in the video image transmission based on the Internet. [0003] Currently commonly used error correction algorithms include forward error correction coding (FEC), automatic repeat request (ARQ), and hybrid FEC / ARQ (HARQ). FEC usually uses RS for coding, and corrects errors by adding a certain amount of redundant data packets in video data packets, but it lacks the ability to adapt to dynamic changes in network channels. The ARQ algorith...

AI Technical Summary

Problems solved by technology

FEC usually uses RS for coding, and corrects errors by adding a certain amount of redundant data packets in video data packets, but it lacks the ability to adapt to dynamic changes in network channels. The ARQ algorithm has less redundant codes, but requires a feedback channel, and the control is relatively difficult. It is complex and increases the transmission delay. HARQ combines the advantages of FEC and ARQ algorithms to reduce network delay and improve bandwidth utilization to a certain extent, but its calculation is too complicated and the real-time performance of prediction is relatively low.

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