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Decoding method applied to convolutionally coded signal

A decoding method and convolutional coding technology, applied in the field of a soft output decoder, can solve the problems of MAP algorithm with a large amount of calculation, increased decoding hardware requirements, time delay, complexity, etc.

Inactive Publication Date: 2017-03-08
MSTAR SEMICON INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The amount of calculation of the MAP algorithm is quite large and complex, and it is related to the operation of the index
If not specially dealt with, it will often greatly increase the decoding hardware requirements or the time delay generated in the decoding process

Method used

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  • Decoding method applied to convolutionally coded signal
  • Decoding method applied to convolutionally coded signal
  • Decoding method applied to convolutionally coded signal

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Experimental program
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Embodiment Construction

[0039] The invention can improve the convergence speed of the soft decision decoder under iterative processing. The decoder in the embodiment of the present invention introduces an adjustment factor, which is used to adjust the prior information generated by the interleaving or deinterleaving processing of the external information. This adjustment factor is not a constant, but will dynamically change with the result of the previous iterative decoding and the value of the previous adjustment factor.

[0040] In general, convolutional codes, turbo codes, etc. can be represented by trellis, as figure 1 shown. exist figure 1 The fence in has 13 time points (steps), and each time point has 4 possible states (states), representing the encoder's limited memory length of 2. In other words decoding figure 1 The fence will get a block code (code of block) with a block code length of 12. For the convenience of explanation, the length of the block code will be represented by K in the...

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Abstract

The invention provides a decoding method applied to a convolutionally coded signal. The method comprises the following steps: (a) adjusting first input information by a first adjustment factor to generate first a-priori information; (b) decoding the convolutionally coded signal according to system information and the first a-priori information to generate first extrinsic information; (c) adjusting second input information by a second adjustment factor to generate second a-priori information, wherein the second adjustment factor is generated according to the first extrinsic information and the first a-priori information; and (d) decoding the convolutionally coded signal according to the system information and the second a-priori information to generate second extrinsic information, wherein either the step (b) or the step (d) more generates a-posteriori information to take as a decoding result.

Description

technical field [0001] The present invention relates to communication systems, and more particularly to a soft output decoder for a receiver for convolutional code communication. Background technique [0002] In the process of data transmission in the digital communication system, the receiving end often receives wrong information due to unpredictable interference. Under the consideration of not increasing the transmission power, channel coding can effectively reduce the error rate, but its disadvantage is that it will occupy the transmission bandwidth. However, in view of the increasing public demand for data transmission and storage systems, the future transmission rate will be faster, and more and more attention should be paid to the quality of service (QoS), because the use of channel coding can guarantee the transmission bit error rate Controlled within a certain range, channel coding still becomes an important consideration in system design. [0003] Convolutional co...

Claims

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Application Information

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IPC IPC(8): H03M13/23
Inventor 顾育先
Owner MSTAR SEMICON INC