Parallel multicode-rate convolutional code decoding method and realization device thereof

Abstract

The invention discloses a parallel multicode-rate convolutional code decoding method and a realization device thereof. The parallel multicode-rate convolutional code decoding method comprises the following steps of: S1. receiving Nin paths of parallel input signals, and shifting the input signals under the effect of a shifting control signal and outputting the input signals, wherein output signals are also Nin paths of parallel signals, and the Nin is positive integers; S2. partially eliminating the phase ambiguity of the output signals; S3. taking the signals processed in the S2 as effectivedata, adding guard intervals for the effective data to assemble into a data frame, and taking the data frame as the input of a parallel convolutional code; S4. carrying out the convolutional decodingon the assembled data frame after being processed in the step S3; and S5. merging multipath outputs of the parallel convolutional decoding into one path and outputting in parallel. The invention provides the parallel multicode-rate convolutional code decoding method aiming at the defect that the throughput rate of the traditional convolutional decoding can not satisfy high-speed communication, improves the decoding throughput rate and the effective payload velocity by adopting a parallel partitioning processing technology, and can satisfy requirements of high-velocity information transmissioncommunication systems, such as satellite communication, and the like.

Description

technical field

[0001] The invention relates to the technical field of digital information transmission, in particular to a parallel multi-code-rate convolutional code decoding method and an implementation device thereof. Background technique

[0002] Convolutional code is a channel coding method often used in various communication systems such as digital TV, satellite communication, and mobile communication. Since it was put forward, the researches on theory, performance and hardware implementation have been quite mature, and it has been widely used in various communication occasions because of its better performance and lower implementation complexity. However, with the development of science and technology, the transmission rate required by various communication systems is getting higher and higher. For example, the transmission rate of satellite communication will reach more than 1Gbit / s, which also puts forward higher requirements for the performance of convolutional co...

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