Convolutional code decoding detection method and device, storage medium and electronic equipment

Abstract

The invention relates to a convolutional code decoding detection method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring a log-likelihood ratio corresponding to each bit in a bit stream after convolutional code encoding; performing convolutional code decoding on the bit stream after convolutional code encoding by using a log-likelihood ratio and viterbi decoding algorithm; performing first check on the bit stream after convolutional code decoding; if the bit stream after convolutional code decoding passes the first check, carrying out convolutional code encoding on the bit stream after convolutional code decoding again; performing second verification on the bit stream after convolutional code decoding according to the bit stream after convolutional code encoding again and the log-likelihood ratio; and determining whether convolutional code decoding is correct or not according to a result of the second verification. In this way,the false detection probability of convolutional code decoding is effectively reduced through two times of verification. Moreover, the second check is carried out by utilizing the bit stream and the log-likelihood ratio after the convolutional code is coded again, so that the reliability of the second check and the detection accuracy of convolutional code decoding are improved.

Description

technical field [0001] The present disclosure relates to the technical field of communications, and in particular, to a detection method, device, storage medium and electronic equipment for decoding convolutional codes. Background technique [0002] Convolutional codes are error-correcting codes that are widely used in communication systems. For example, WCDMA (Wide band Code Division Multiple Access, wideband code division multiple access), LTE (Long Term Evolution, long-term evolution), LTE-A (Advanced Long Term Evolution, enhanced long-term evolution), NB-IoT (Narrow Band Internet Convolutional codes are used in systems such as of Things, narrowband Internet of Things), eMTC (Enhanced Machine Type Communication, enhanced machine type communication). Convolutional codes are usually expressed as (n,k,m), where k represents the number of input bits; n represents the number of output bits, which is related to the current input bit and the previous input m-1 bits; m represent...

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Problems solved by technology

However, the CRC check code itself also has some false detections. Therefore, the convolutional code decoding cannot be accurately detected only by using the CRC check code.

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