Method for automatically updating Turbo decoding iteration times

Abstract

The invention discloses a method for automatically updating Turbo decoding iteration times, wherein the method comprises the steps: firstly, setting an initial value of an iteration termination frequency, then executing iteration, carrying out similarity judgment on decoding information after two adjacent iterations, and determining a current decoding state according to a plurality of continuous multiple similarity judgment values: decoding completion, decoding incompletion or decoding iteration failure; and selecting terminating iteration according to different states, and increasing iteration terminating times or decoding output, so as to achieve automatic updating of decoding iteration times. The decoding iteration times can be automatically updated according to the signal-to-noise ratio, so that the optimal design of decoding performance and decoding delay is realized; the binary XOR operation is used for judging the similarity of two adjacent decoding sequences, so that the implementation complexity is low, and the reliability is high; and external check information is not needed in the decoding iteration frequency updating process, so that the universality is high.

Description

technical field [0001] The invention belongs to the technical field of communication channel coding, and relates to a method for automatically updating the number of iterations of Turbo decoding, in particular to a method for automatically updating the number of iterations of Turbo decoding without verification assistance. Background technique [0002] Turbo code is a kind of code with excellent performance and low signal-to-noise ratio. Due to the adoption of interleaving and iterative decoding scheme, the performance of Turbo code can be close to the Shannon limit under ideal conditions. The more decoding iterations, the lower the bit error rate, and the better the decoding performance, but at the same time, the decoding delay will increase, which will affect the communication performance. [0003] A conventional solution is to determine the minimum number of iterations that meets the requirements of the bit error rate through simulation, and set the number of decoding ite...

AI Technical Summary

Problems solved by technology

This method is simple to implement, but the disadvantage is that the decoding delay cannot be minimized when the SNR is high, and the decoding performance cannot be optimized when the SNR is low.

Another type of solution is to use external verification information to verify the decoding information after each iteration, and decide whether to terminate the iteration according to the verification result. This method can realize dynamic adjustment of the number of iterations, but for some This method is invalid for a system with no protocol and no checksum

Another type of solution is to use the decoding information after each iteration to estimate the signal-to-noise ratio, and then automatically update the number of iterations, but this type of method is complex to implement, and there are errors in the signal-to-noise ratio estimation, which affects reliability

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