Convolutional code encoding, decoding and signal transmission method

Abstract

The invention provides a convolutional code encoding, decoding and signal transmission method, which comprises the following steps: a signal is input into a first FIFO unit, and entering an encoding module is conducted; convolution operation is conducted to form two groups of coded signals with the coding rate of 1 / 2, and signals needing to be erased by the two groups of erasure codes are erased to form two groups of coded signals with the coding rate of 3 / 4; a second FIFO unit outputs converted 8bit signal information according to a set clock period; when coded signal information received bya third FIFO unit reaches 8bit, the coded signal information is converted into two groups of parallel signals which are respectively output to a fourth FIFO unit and a fifth FIFO unit, and the code rate is changed from 3 / 4 to 1 / 2; six groups of filling and decoding units traverse all decoding conditions to recover a correct decoding format; and a decoding judgment unit judges an accurate decodingbranch and outputs a decoding result. According to the invention, a soft decision mode is adopted for decoding, the bandwidth utilization rate is high, and the stability of a codec is ensured.

Description

technical field [0001] The invention belongs to the technical field of encoding and decoding, and in particular relates to an encoding, decoding and signal transmission method of a convolutional code. Background technique [0002] Convolutional codes are a commonly used error-correcting code that outperforms block codes for the same encoder complexity. The decoding methods of convolutional codes can be divided into two categories, namely algebraic decoding and probabilistic decoding. Algebraic decoding uses the algebraic structure of the code itself for decoding, regardless of the statistical characteristics of the channel; The statistical properties of the channel and the characteristics of the convolutional code are calculated. [0003] Existing convolutional coding and Viterbi decoding mostly use 1 / 2 bit rate or 3 / 4 bit rate for coding and decoding, among which, using 3 / 4 bit rate for coding and decoding can effectively improve bandwidth utilization, which is very suitab...

AI Technical Summary

Problems solved by technology

However, the existing FPGA-based 3 / 4 codec needs to work under different working clocks, which reduces the stability of the codec

[0004] In addition, in Viterbi decoding, there are two decision methods: hard decision and soft decision. The performance of the decoder implemented by soft decision is much higher than that of the hard decision method. The level of the signal received by the coder is constantly changing, which brings difficulties to the quantization of the input signal level during soft-decision decoding

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