Radio video frequency transmission optimizing method based on ratio integration and differential control technology

Abstract

The invention relates to a method for optimizing the transmission of the wireless video based on proportional integral differential control technology, which includes: Firstly, it initializes. Then, it carries out source encoding about the video, after that, it carries out channel encoding about the source encoded video according to the redundant value. Then, it transmits the video to the terminal. Then, the terminal decodes and broadcasts the video, at the same time, the terminal feedbacks information to server through back channel. Then, the server calculates the dropout rate of the wireless channel and real-time updates the redundant value when the server receives the feedback signal. After that, it encodes the video data according to the updated redundant value, packs it, and sends it out.

Description

technical field [0001] The invention belongs to the field of wireless video communication, in particular to a wireless video transmission optimization method based on proportional integral differential control technology. Background technique [0002] The present invention is based on the emergence and development of streaming media services. In the middle and late 1990s, with the rapid development of the Internet and coding technology, people began to have the desire to transmit video and images on the network, and streaming media, as a new form of media communication, also quietly emerged. The so-called streaming media actually refers to continuous time-based media using streaming technology in the network, such as audio, video or multimedia files. It is a new media transmission method, not a new media. Streaming media technology is widely used in all aspects of Internet information services such as Internet multimedia news release, online live broadcast, online advertisi...

AI Technical Summary

Problems solved by technology

[0009] 2. The fixed redundancy value is not universal. Before real-time video communication on different wireless channels, it must be manually set and adjusted.

[0010] 3. When the bit error rate of the wireless channel is always lower than the pre-set worst case, the pre-set redundancy value is too large, and the wireless channel is idle for most of the video communication, causing the wireless channel Huge waste of resources, but also affects the quality of video playback on the client side

[0011] 4. When the bit error rate of the wireless channel is higher than the pre-set worst case due to sudden changes in external conditions, the pre-set redundancy value cannot meet the system’s requirements for error resistance, resulting in serious playback quality The more serious consequences will cause the playback to stop, which will lead to the abnormal interruption of the wireless communication connection

[0012] For an ideal Gaussian white noise channel, the bit error rate is relatively stable, and the effect is not obvious

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