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A Miniaturized ldpc Encoder Circuit Based on Code Rate Adaptation

An adaptive and encoder technology, applied in the field of logic circuits, can solve the problems that restrict the development of miniaturized application scenarios, it is difficult to support code rate adaptive technology, and the throughput is not high enough.

Active Publication Date: 2022-06-17
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] But at present, many LDPC encoder circuit architectures are difficult to support the code rate adaptive technology, which will lead to a huge challenge to the error correction capability of the encoder architecture under many complex channel environments. The error correction capability of the encoder architecture is closely related to the stability of the transmission
Secondly, most of the current commercial LDPC encoder architectures use more logic resources, and the throughput is not high enough, which restricts the development needs of miniaturized application scenarios.

Method used

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  • A Miniaturized ldpc Encoder Circuit Based on Code Rate Adaptation
  • A Miniaturized ldpc Encoder Circuit Based on Code Rate Adaptation
  • A Miniaturized ldpc Encoder Circuit Based on Code Rate Adaptation

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0056] Example 1 A digital communication system based on a miniaturized LDPC encoder architecture wherein the code rate under the current log-likelihood ratio is 7 / 8

[0057] by image 3 An example of a simple digital communication system:

[0058] 1) The input data stream is processed by the transmitter (Transmitter) and sent to the receiver (Receiver);

[0059] 2) After the signal-to-noise ratio (SNR) is acquired by the encoder, the log-likelihood ratio of the input data is evaluated, and the corresponding corresponding code rate r=7 / 8 is selected;

[0060] 3) According to the code rate r=7 / 8, it can be known that the input of the architecture must meet the following conditions: the total number of input bits and the signal-to-noise ratio is 16 bits, the bit width of the data to be encoded is 14 bits, and the bit width of the signal-to-noise ratio is 2 bits. ;

[0061] 4) The input data is cleared by the re-encoding network in the miniaturized LDPC encoder architecture to...

example 2

[0064] Example 2 A digital communication system based on a miniaturized LDPC encoder architecture wherein the code rate under the current signal-to-noise ratio is 4 / 5

[0065] by image 3 An example of a simple digital communication system:

[0066] 1) The input data stream is processed by the transmitter (Transmitter) and sent to the receiver (Receiver);

[0067] 2) After the signal-to-noise ratio (SNR) is obtained by the encoder, the log-likelihood ratio of the input data is evaluated, and the corresponding corresponding code rate r=4 / 5 is selected;

[0068] 3) According to the code rate r=4 / 5, it can be known that the input of the architecture must meet the following conditions: the total number of input bits and signal-to-noise ratio is 16 bits, the bit width of the data to be encoded is 8 bits, and the bit width of the signal-to-noise ratio is 8 bits. ;

[0069] 4) The input data is cleared by the re-encoding network in the miniaturized LDPC encoder architecture to cle...

example 3

[0072] Example 3 A digital communication system based on a miniaturized LDPC encoder architecture wherein the code rate under the current signal-to-noise ratio is 2 / 3

[0073] by image 3 An example of a simple digital communication system:

[0074] 1) The input data stream is processed by the transmitter (Transmitter) and sent to the receiver (Receiver);

[0075] 2) After the signal-to-noise ratio (SNR) is acquired by the encoder, the log-likelihood ratio of the input data is evaluated, and the corresponding corresponding code rate r=2 / 3 is selected;

[0076] 3) According to the code rate r=2 / 3, it can be known that the input of the architecture must meet the following conditions: the total number of input bits and the signal-to-noise ratio is 16 bits, the bit width of the data to be encoded is 4 bits, and the bit width of the signal-to-noise ratio is 12 bits. ;

[0077] 4) The input data is cleared by the re-encoding network in the miniaturized LDPC encoder architecture t...

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Abstract

The invention discloses a miniaturized LDPC encoder circuit based on code rate self-adaptation, comprising: an encoding core module, a re-encoding network module, and a pipeline trigger group module, wherein the re-encoding network module is used to convert input data into The signal-to-noise ratio data is stripped from the input data; the pipeline trigger group module is used to reduce the path delay between the re-encoding network module and the encoding core module; the encoding core module is used according to the check matrix Numerically computes the input sequence and check matrix over multiple cycles. Through the above methods, the architecture has sufficient advantages in a changeable channel environment. By changing the code rate to reduce the transmission rate, the overall error correction capability can be improved to ensure stable and correct data transmission. At the same time, this LDPC encoder architecture has the characteristics of ultra-miniaturization, extremely low resource utilization and good throughput performance. For some application scenarios that require miniaturization, this architecture has great advantages.

Description

technical field [0001] The invention relates to the field of logic circuits, in particular to a miniaturized LDPC encoder circuit based on code rate adaptation. Background technique [0002] LDPC codes, which have excellent error correction performance and a highly parallel structure. The error correction performance of this channel coding technique is close to the Shannon limit. Although the parity check matrix of the LDPC code has good performance, the problems of the high cost of hardware resources and the large randomness of the matrix in the prior art are not conducive to hardware implementation. Until the QC-LDPC check matrix with quasi-cyclic characteristics was discovered by Tanner, the QC-LDPC check matrix is ​​composed of several cyclic shift sub-matrices, and its regular structure reduces the complexity of VLSI implementation. QC-LDPC code has also become one of the first choices for LDPC code VLSI implementation, and has been adopted by many communication stand...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H03M13/11
CPCH03M13/1148
Inventor 冯全源刘家明
Owner SOUTHWEST JIAOTONG UNIV
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