Large-scale MIMO channel estimation method and system

A channel estimation, large-scale technology, applied in the field of communication, can solve the problem of numerous estimation parameters, EVD-ILSP method cannot further improve the channel estimation accuracy, etc., to achieve the effect of increasing pilot resource consumption and improving channel estimation accuracy.

Active Publication Date: 2017-02-22
GUILIN UNIV OF ELECTRONIC TECH
View PDF5 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is that there are many estimated parameters in a massive MIMO system, and the sin

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
  • Large-scale MIMO channel estimation method and system
  • Large-scale MIMO channel estimation method and system
  • Large-scale MIMO channel estimation method and system

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0038] The following will be attached figure 1 Attached Figure 7 And specific embodiments further illustrate the implementation of the method and system of the present invention. It should be noted that the parameters in the examples do not affect the generality of the present invention.

[0039] A method of massive MIMO channel estimation, the estimation process is as follows figure 1 As shown, the specific implementation process is as follows:

[0040] S1. Find the channel estimation value CHL estimated by the EVD method evd ; Including S11-S14 steps

[0041] S11. The user sends to the base station including pilot symbols And data symbol Frame signal. The frame structure of the frame signal is as figure 2 As shown, where the data symbol Prior to the pilot symbol in time Send, n represents the number of pilots for each user. As a pilot matrix, it is stored in both the user and the base station.

[0042] S12. The base station first receives the data symbol matrix Y sent from ...

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 large-scale MIMO channel estimation method and system. The large-scale MIMO channel estimation system consists of a base station and at least one user; and a linear signal processing technology is utilized, properties of a channel and related noise statistic characteristics are not changed, and complex correlation analysis of data, noise and the channel is converted into a common calculation problem, so that when consumption of pilot frequency resources is not increased, channel estimation accuracy is obviously promoted.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a massive MIMO channel estimation method and system. Background technique [0002] With the rapid growth of demand for large-capacity and high-speed wireless communication, future wireless communication systems must have the characteristics of large capacity, high speed, and high reliability. In order to achieve this goal, researchers have conducted a lot of research to improve the freedom of channel transmission from different angles, and use physical layer resources such as time, frequency, space, and coding to tap growth points for improving channel transmission capacity. The massive MIMO system has become an important research hotspot nowadays because it can provide more degrees of freedom in channel transmission and can provide greater channel transmission capacity. [0003] However, since the number of equivalent sub-channels provided by the massive MIMO system is f...

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): H04L25/02
CPCH04L25/0204H04L25/0224H04L25/0242H04L25/0246Y02D30/70
Inventor 肖海林莫秋椿黄国庆王茹张玉冰马得森沈正源金晓晴
Owner GUILIN UNIV OF ELECTRONIC TECH
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