Sparse superposition code design scheme based on hybrid iteration power distribution

A technology of mixed iteration and design scheme, applied in the field of signal processing, can solve the problems of power allocation not meeting decoding requirements, difficulty in starting the decoding process, and low decoding accuracy.

Inactive Publication Date: 2019-07-23
CHONGQING UNIV OF POSTS & TELECOMM
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is a common problem of unreasonable allocation, which makes it difficult to start the decoding

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Sparse superposition code design scheme based on hybrid iteration power distribution
  • Sparse superposition code design scheme based on hybrid iteration power distribution
  • Sparse superposition code design scheme based on hybrid iteration power distribution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] specific implementation

[0021] The present invention is described in further detail below in conjunction with accompanying drawing.

[0022] In the accompanying drawings figure 1 For the working principle diagram of the sparse superposition code in the AWGN channel, with reference to the accompanying drawings, and in combination with the hybrid iterative power allocation scheme proposed by the present invention, the encoding and decoding process of the sparse superposition code is described in detail as follows:

[0023] Step 1: Input a real-valued signal The signal contains L elements, and the value of each element does not exceed M. Using the one-hot encoding method, the input real-valued signal is converted into a sparse message vector β, so that the converted sparse message vector β has L groups, each group has M elements and each group has only one non-zero value, and the remaining M-1 elements are all 0. For a clear understanding of the original signal Ho...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a sparse superposition code design scheme based on hybrid iteration power distribution, and the scheme specifically comprises the steps: carrying out the sparse representation of an input real value signal through employing a one-hot encoding mode, and enabling each group to have only one non-zero value; then, assigning the non-zero value in each group of the sparse messagevectors by using the hybrid iteration power distribution scheme provided by the invention; then performing linear combination of corresponding groups with the random Hadamard design matrix to form corresponding code words; secondly, inputting the formed code words into an AWGN channel, and adding Gaussian white noise with the mean value of 0 and the variance of 2 into the code words; and carryingout iterative estimation operation on the output noisy code word through an AMP decoding algorithm to obtain an estimation value of the message vector; setting the maximum value corresponding bit in each group of the obtained estimation values as a preset value obtained by power distribution, and setting the rest bits as 0 to obtain a reconstruction value of the original signal. An experiment is carried out by using spyder3, and a needed python third party package comprises numpy, pyfht and the like.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a sparse superposition code design scheme based on hybrid iterative power allocation. Background technique [0002] As an essential part of the digital age and information society, communication has always been the object of extensive attention of research scholars. In 1948, Shannon proposed that channel coding can help achieve effective and reliable transmission of signals, and Shannon's three theorems pointed out the direction for the design of channel coding. As long as the information is transmitted at a communication rate lower than the channel capacity, there must be a channel coding method that makes the probability of error in the transmitted information tend to be infinitely small as the code length increases. Although channel coding can achieve good performance, the existence of Shannon bound makes the performance of channel transmission no longer...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04L1/00H04W52/34
CPCH04L1/0047H04L1/005H04W52/34H04W52/346
Inventor 赵辉刘莹莉张乐张静
Owner CHONGQING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap