All-integer turbo code iterative-decoding method and system

Abstract

The invention provides an all-integer turbo code iterative-decoding method and system for received information sequences. The method includes: receiving a k-th bit X<k><s> of a received information sequence, check information X<k> about the k-th bit, and prior information L<in><e> being iterated currently; during current iteration, according to the received k-th bit X<k><s>, check information X<k> and prior information L<in><e>, acquiring an external component M<k><ext> of a branch metric M<k>(s', s) and a channel component M<k><chn> thereof; converting the obtained external component M<k><ext> into an integer part to be continuously iterated and a common divide-out part to be removed in continuous iteration, and converting the channel component M<k><chn> into an integer part to be continuously iterated and a common divide-out part to be removed in continuous iteration; adding up the integer part of the external component M<k><ext> and the integer part of the channel component M<k><chn>; storing only the sum of the integer part of the external component M<k><ext> and the integer part of the channel component M<k><chn> by an all-integer memory, and using the sum as branch metric M<k>(s', s) of current iteration for next iteration; based on branch metrics formed by multiple iterations, acquiring results of integer encoding of the k-th bit X<k><s>.

Description

technical field [0001] The present invention relates to the field of Turbo code decoding, and more particularly relates to a method and system for iterative decoding of full-integer Turbo codes. Background technique [0002] Turbo code is also known as Parallel Concatenated Convolutional Code (Parallel Concatenated Convolutional Code, PCCC). When encoding, two simple component codes are concatenated in parallel using a pseudo-random interleaver to obtain a long code with pseudo-random characteristics, and when decoding, two soft-in / soft-out (Soft In Soft Out, SISO) Multiple iterations are performed between the decoders to realize pseudo-random decoding, and the performance close to the theoretical limit of Shannon coding is achieved. [0003] The coding and decoding technology of Turbo codes has been greatly developed at present, and has been widely used in various application fields such as coding, modulation, and signal detection, and has achieved good decoding performanc...

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Problems solved by technology

[0004] As we all know, in the decoding process of Turbo code, since the memory only stores integers, if floating-point operations are to be performed, it is generally considered to only store integers. In this case, decimals need to be rounded. Therefore, when using rounding After the stored number is iterated, the accuracy of the obtained storage and iterative operation will gradually decrease. If you want to store a few digits after the decimal point, it will take up a lot of storage space

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