Coding method for independent window unequal protection fountain for deep space exploration multimedia service

Abstract

The invention provides an independent-window unequal protection fountain coding method for deep-space exploration multimedia services, which generates coding packets according to different important levels of information source packet data. The encoding scheme of the present invention derives its asymptotic performance based on the AND-OR tree analysis technique, and uses NSGA‑II for multi-objective optimization to obtain the optimal parameter settings of unequal protection degree distribution parameter values ​​and encoding selection probability. The comparison with the asymptotic performance simulation of EWF under the same gain proves that under the same decoding overhead, the decoding error rate of the IW-LT scheme is much lower than that of the EWF scheme. Enabling multimedia source coding to meet different business requirements in a highly dynamic deep space communication environment, you can choose to receive only basic information and a small amount of auxiliary information through the limitation of service transmission delay, or choose to receive all multimedia information to obtain a better picture Effect.

Description

technical field [0001] The invention relates to a coding method for independent window unequal protection fountains facing deep space exploration multimedia services. Background technique [0002] With the frequent and in-depth deep space exploration activities of various aerospace powers, the amount of data and business types that need to be transmitted are increasing day by day. The most intuitive and core information of cognition; and in manned space missions, the efficient transmission of voice and video across agencies and mission systems is a necessary guarantee for the smooth progress of the mission and the monitoring of the safety of astronauts. The Consultative Committee on Spatial Data (CCSDS) recommends that for multimedia services such as images and high-resolution videos, discrete wavelet transform should be used as the core, and algorithms that support both lossless and lossy compression can be used to process source information (for example, the Mars explorati...

AI Technical Summary

Problems solved by technology

On the one hand, the data volume of multimedia services is very large, and many scenarios require continuous transmission or even real-time transmission; on the other hand, under the conditions of deep space exploration, the "energy, computing power, link availability time, Communication resources such as "empty channel transmission capacity" are extremely limited

[0003] At the same time, the signal loss and burst errors of deep space time-varying channels make the underlying channel coding unable to guarantee data reliability

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