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

A large-scale mimo DOA estimation method based on codebook assistance

A large-scale, codebook technology, applied in the field of wireless local area network communication, which can solve the problems of limited measurement data and inability to guarantee the accuracy of DOA estimation.

Active Publication Date: 2020-10-20
COMMUNICATION UNIVERSITY OF CHINA
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is a method to reduce the complexity of DOA estimation by using compressed sensing, but compressed sensing cannot guarantee the accuracy of DOA estimation due to limited measurement data

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 large-scale mimo DOA estimation method based on codebook assistance
  • A large-scale mimo DOA estimation method based on codebook assistance
  • A large-scale mimo DOA estimation method based on codebook assistance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The method will be described in detail below in conjunction with the drawings and embodiments.

[0043] Simulation is carried out based on the data model and the codebook auxiliary algorithm proposed by the present invention, and the DOA estimation performance and computational complexity are verified. The base station is a uniform linear array, the number of antennas is 36, and the antenna interval is half a wavelength. The range of the entire angle search is Φ=[-π / 2,π / 2], assuming there are five independent narrowband signal sources (K=5), and their direction angles are [1.31°2.81° 4.51° 13.71° 17.91° ]. For the MUSIC algorithm, the search step λ is fixed at 0.005°, and for the convex optimization algorithm, the error constant ξ and the balance regularization factor τ are set to 5 and 60, respectively.

[0044] figure 2 The DOA estimated power spectral density of the algorithm proposed by the present invention is shown. In this simulation experiment, the signal-to...

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 large-scale MIMO DOA estimation method based on codebook assistance, and the calculation complexity is extremely high when a traditional DOA estimation algorithm is applied to large-scale MIMO due to the fact that the antenna scale in a large-scale MIMO system is extremely large. The present invention proposes a novel frame structure for downlink transmission. Based on the frame structure, a codebook assistance algorithm is introduced into DOA estimation. Specifically, a codebook channel is fed back to the combination of a traditional MUSIC algorithm and a convex optimization algorithm, so that the computational complexity caused by increase of the array number of DOA estimation in a large-scale MIMO system is solved. Under a codebook feedback mechanism, prior information can be fully utilized to obtain a directional angle range, so that the computational complexity of DOA estimation can be obviously reduced, and the simulation result verifies the effectiveness of the algorithm.

Description

technical field [0001] The invention relates to a codebook-based auxiliary algorithm and a large-scale MIMO DOA estimation method, belonging to the technical field of wireless local area network communication. Background technique [0002] Massive multiple-input multiple-output (MIMO) technology has great application potential in fifth generation (5G) mobile communications. In the future 5G wireless communication, the deployment of large-scale antennas in the base station (BS) must obtain accurate channel state information (CSI), so as to be able to perform operations such as beamforming and power allocation. For frequency division duplex (FDD) massive MIMO systems, the overhead of using traditional orthogonal pilot channel estimation schemes is huge, so the channel feedback mechanism is indispensable in massive MIMO. For direction of arrival (DOA) estimation, due to the large number of antenna arrays in massive MIMO systems, the computational complexity of DOA estimation a...

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): H04B7/0417H04B7/06H04L5/00G01S3/14
Inventor 李树锋吴洪达金立标
Owner COMMUNICATION UNIVERSITY 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