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

A Blind Signal Detection and Channel Estimation Method for Large-Scale Antenna Systems

A large-scale antenna and channel estimation technology, applied in the field of 5G communication technology, can solve the problems of occupying a lot of space, physically impossible, matrix decomposition algorithm does not consider signal correlation, etc., to improve accuracy, increase practicability, The effect of reducing signal recovery errors

Active Publication Date: 2019-08-02
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1. In order to make the system have excellent performance, half-wavelength is generally used as the interval between antennas; if the antennas are arranged in a linear array, it will take up a lot of space, and it is even physically impossible to achieve
[0005] 2. At the base station, the received signals of adjacent antennas are correlated in the transform domain (such as angle domain, time domain, etc.), but the matrix decomposition algorithm does not consider the correlation of signal samples when detecting

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
  • A Blind Signal Detection and Channel Estimation Method for Large-Scale Antenna Systems
  • A Blind Signal Detection and Channel Estimation Method for Large-Scale Antenna Systems
  • A Blind Signal Detection and Channel Estimation Method for Large-Scale Antenna Systems

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0045] This example considers a simplified uplink communication system, such as figure 2 As shown, the antennas at the base station are arranged into a 64×64 planar antenna array, the number of users is 32, the user end is configured with a single antenna, and the channel coherence time is set to 32 time slots. The channel obeys the Bernoulli Gaussian distribution with Markov field structure in the angle domain, and the sparsity is set to 0.25, that is, the proportion of non-zero elements of the channel in the angle domain is 25%. The channel model of a planar antenna array can be written as:

[0046]

[0047] Among them, N p Indicates the number of paths, β k,n Indicates the path gain, N v x1 vector a v and N h x1 vector a h represent the steering vectors in the horizontal and vertical directions of the antenna array, respectively,

[0048]

[0049]

[0050] and λ is the carrier wavelength, d v 、d h is the spacing between the antenna in the horizontal dir...

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 belongs to the technical field of wireless communication, and specifically relates to a blind signal detection and channel estimation method for a large-scale antenna system. The method provided by the invention is applied to a large-scale array antenna system, base station end antennas are arranged in a regular array with a geometric shape, and uplink transmission and downlink transmission are carried out based on the sparsity and relevance of the channel on an angle domain. According to the blind signal detection and channel estimation method provided by the invention, the sparsity of signals on the angle domain and the correlation of the signals on the time domain are considered, the signal restoration errors can be effectively reduced by adding correlation detection, and meanwhile the feasibility of the signal transmission scheme in real systems is increased.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a blind signal detection and channel estimation method for a large-scale antenna system. The invention is especially suitable for 5G communication technology. Background technique [0002] In order to ensure the quality of wireless communication, channel estimation is an essential link in the communication process. Channel estimation refers to the process and method of obtaining channel state information at the receiving end, and its accuracy will affect the receiving performance and data transmission quality of the system. Traditional channel estimation methods include adding pilots or training sequences before sending signals, and the receiving end estimates channel coefficients through pilots or training sequences, and uses these channel state information to ensure the accuracy of subsequent signal detection and estimation. In 5G wireless communicat...

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 Patents(China)
IPC IPC(8): H04L25/02H04B7/0456H04L1/00
CPCH04B7/0456H04L1/0038H04L25/0204H04L25/0224
Inventor 袁晓军陈磊
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com