Joint channel state detection and decoding algorithm based on classification learning

A channel state and state detection technology, applied in radio transmission systems, digital transmission systems, electrical components, etc., can solve the problems of inability to take into account the probability of false detection and detection accuracy, the actual performance of the received signal, and the detection effect.

Active Publication Date: 2016-08-10
TSINGHUA UNIV
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In terms of channel detection, the traditional channel state detection method is a channel state information detection algorithm based on signal energy. In the case of low signal-to-noise ratio, this algorithm cannot take into account the false detection probability and detection accuracy.
And in practical applications, the constantly changing signal-to-noise ratio of the received signal will further degrade the actual performance
At the same time, compared with the traditional channel state information detection algorithm ba

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
  • Joint channel state detection and decoding algorithm based on classification learning
  • Joint channel state detection and decoding algorithm based on classification learning
  • Joint channel state detection and decoding algorithm based on classification learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0077] Such as figure 2 The factor graph composed of the joint channel state detection and decoding method based on classification learning is shown.

[0078] Take an algorithm simulation as an example. In this simulation, the channel coding uses (2048,8192) LDPC codes, the modulation method is QPSK modulation, and the channel interruption time accounts for 10% of the total time. The length of each frame is 8192 symbols, and the interrupt position is randomly set. The total number of iterations of the algorithm is set to 10, wherein the number of separate iterations of the LDPC decoder part is set to 3, and L=32 (such as figure 2 shown). The simulation flow is given below to facilitate the understanding of the features and advantages of the present invention.

[0079] (1) using LDPC codes to encode the transmitted information bits;

[0080] (2) interleaving the encoded information bits;

[0081] (3) inserting reference symbols to the information bits after interleaving...

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 discloses a joint channel state detection and decoding algorithm based on classification learning and belongs to the technical field of on-the-move satellite communication. An intermittent channel state transfer model is established by utilizing intermittent channel structure information; through a sum-product algorithm, by means of transmission among factor graph structure channel observation function nodes, channel state variable nodes, received symbol variable nodes, symbol mapping function nodes, mixed mapping nodes and coding constraint nodes, and through weighted average of neighbor channel state node information, current channel state node information is obtained; and through continuous iterative computation, a channel state distribution and decoding result is obtained. Compared with a channel state detection and decoding method based on the channel state transfer model, the algorithm has the obvious advantages of being low in complexity and self-adaptive to channel change and the like.

Description

technical field [0001] The invention belongs to the technical field of satellite communication in motion, and in particular relates to a joint channel state detection and decoding algorithm based on classification learning. Background technique [0002] In recent years, the field of On-the-Move in satellite communication has gradually received attention. Satellite communication technology in motion refers to the technology of maintaining uninterrupted satellite communication during the movement of vehicles, aircraft and other carriers. During the moving process of the carrier, the wireless signal will be randomly blocked or even randomly interrupted due to factors such as obstruction by obstacles. At the same time, in the helicopter satellite communication, because the installation position of the helicopter antenna is limited, the signal will be blocked by the helicopter rotor. Therefore, it is particularly critical to solve the channel intermittent problem in the mobile ...

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): H04L1/00H04L27/22H04B7/185
CPCH04B7/18508H04B7/18515H04L1/0057H04L1/0071H04L27/22
Inventor 倪祖耀张晋华贾浩歌匡麟玲
Owner TSINGHUA UNIV
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