Method and device for decoding double binary convolution Turbo codes

Abstract

The invention provides a method for decoding double binary convolution Turbo codes, aiming to enhance decoding efficiency under the precondition of reaching the requirement for the accuracy of a system when channel quality is unstable. The method for decoding the double binary convolution Turbo codes comprises the following steps: comparing the noise-signal ratio of real-time data to be decoded with preset Th, if the noise-signal ratio of the real-time data to be decoded is less than Th, decoding the real-time data to be decoded by a first algorithm, and if the noise-signal ratio of the real-time data to be decoded is more than Th, decoding the real-time data to be decoded by a second algorithm. The invention also provides a device for decoding the double binary convolution Turbo codes.

Description

technical field [0001] The invention relates to channel decoding technology in digital communication, in particular to a double binary convolution Turbo code decoding method and device. Background technique [0002] Dual binary convolutional turbo codes are widely used in many wireless communication standards, and there are many decoding algorithms. In the environment of high SNR, the performance gap of several decoding methods is not large. Using some decoding algorithms with simple decoding calculation can not only meet the requirements of system accuracy, but also take advantage of the speed (that is, decoding efficiency). And use less computing resources; in a low signal-to-noise ratio environment, some decoding algorithms with simple decoding calculations may not meet the requirements of system accuracy, while some decoding algorithms with relatively complex calculations can meet the requirements of system accuracy. However, its decoding efficiency is lower than that o...

AI Technical Summary

Problems solved by technology

Problems in this method: 1. At the end of each iterative decoding, it is necessary to compare the termination iteration criterion condition judgment value of the a posteriori logarithmic likelihood ratio of the information bits of this iteration with that of the previous iteration for judgment. The storage of the last judgment value, so the hardware storage space is increased

2. After each iteration of decoding, it is necessary to compare the judgment value of the termination criterion condition of this iteration with the previous iteration, which increases the decoding delay

3. This method will terminate the iterative criterion based on the a posteriori log likelihood ratio of the information bits, and sometimes use the Log-MAP decoding method, but under the condition of high SNR, Max-Log-MAP and Log-MAP decoding The decoding performance of the two methods is very close. Choosing the Log-MAP decoding method will not improve the decoding performance, but will cause a waste of computing resources and reduce the decoding efficiency.

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