Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-carrier combined signal-to-noise ratio estimation method, carrier combination method and communication system

A signal-to-noise ratio estimation, multi-carrier technology, applied in the field of low-orbit satellite communications, can solve the problems of low signal-to-noise ratio of sub-carrier signals, poor signal-to-noise ratio estimation performance, significant Doppler effect, etc., and achieve the effect of reliable expected value.

Active Publication Date: 2022-08-09
10TH RES INST OF CETC
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because the multi-carrier direct spread low-orbit satellite communication system has the following characteristics: the signal-to-noise ratio of the sub-carrier signal is extremely low, which makes it difficult for the receiving section to perform high-precision demodulation and decoding on a single sub-carrier; the communication time is short, and the Doppler effect is significant. Need to remove Doppler effect on signal
Therefore, the current multi-carrier direct spread reception signal processing technology has brought the following problems: poor carrier synchronization accuracy of multi-carrier direct spread signal under extremely low signal-to-noise ratio, low frame synchronization spectrum efficiency, poor signal-to-noise ratio estimation performance, and on-board signal processing platform Poor reliability, high power consumption, and large size

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
  • Multi-carrier combined signal-to-noise ratio estimation method, carrier combination method and communication system
  • Multi-carrier combined signal-to-noise ratio estimation method, carrier combination method and communication system
  • Multi-carrier combined signal-to-noise ratio estimation method, carrier combination method and communication system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] Embodiment 1: A multi-carrier joint signal-to-noise ratio estimation method. Decoding soft information is selected as the reference condition for signal-to-noise ratio estimation. A joint signal-to-noise ratio estimate is obtained.

Embodiment 2

[0058] Embodiment 2: on the basis of embodiment 1, including sub-steps:

[0059] S1, demodulate and decode each sub-carrier respectively, and use the obtained maximum likelihood ratio of each symbol output by polar code decoding as decoding soft information;

[0060] S2, combine and combine the decoded soft information obtained from each channel, and then jointly use the symbol information on each subcarrier to jointly estimate the signal-to-noise ratio of the subcarrier signal.

Embodiment 3

[0061] Embodiment 3: On the basis of Embodiment 2, in step S1, including sub-steps:

[0062] The polar code decoder uses the BP algorithm for iterative decoding. When the number of decoding iterations is 1, the decoding result C is checked by j Check the product of the check matrix H of the polar code itself; the algorithm is Errbit(j)=Σmod(C j ·H T ,2), H T Represents the transposition of H, and the number of error code words Errbit(j) is used as a measure of the error code words generated in the polar code decoding process. The larger Errbit(j), the more unreliable the result of the polar code BP decoding algorithm. , the decoding soft information of each symbol corresponding to the output is also more inaccurate. When Errbit(j) is 0, it is considered that there is no error in the BP decoding algorithm, and the corresponding decoding soft information is very accurate. The decoded soft information on each subcarrier is denoted LLR(j).

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 multi-carrier combined signal-to-noise ratio estimation method, a carrier combination method and a communication system, which belong to the field of low-orbit satellite communication, and comprise the following steps of: selecting decoding soft information as a reference condition of signal-to-noise ratio estimation; and united signal-to-noise ratio estimation is calculated by using the expectation of decoding soft information obtained by decoding the polar code on each subcarrier. According to the method, a higher-precision and more reliable estimation result can be obtained.

Description

technical field [0001] The invention relates to the field of low-orbit satellite communication, and more particularly, to a multi-carrier combined signal-to-noise ratio estimation method, a carrier combining method and a communication system. Background technique [0002] With the establishment of low-orbit satellite constellations and the rapid development of low-orbit satellite communication systems, the use of low-orbit satellites for communication is increasingly becoming an important part of the communications field. In the low-orbit satellite communication system, the multi-carrier direct spread communication oriented to the satellite-ground link has the advantages of strong anti-interference, strong anti-interception performance and low implementation cost, so it has been widely concerned by many scholars. Because the multi-carrier direct expansion low-orbit satellite communication system has the following characteristics: the signal-to-noise ratio of the sub-carrier ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02H04L5/02H04L27/00
CPCH04L25/0202H04L25/024H04L27/0014H04L5/02Y02D30/70
Inventor 张毅袁田闫伟豪王帅刘田马松邵懿哲杜佳衡
Owner 10TH RES INST OF CETC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products