Antenna selection method based on GA (Genetic Algorithm)

An antenna selection and genetic algorithm technology, applied in the field of antenna selection based on genetic algorithm, can solve the problems of increasing complexity, large amount of calculation, long calculation time and so on.

Inactive Publication Date: 2015-06-10
GUANGXI NORMAL UNIV
View PDF1 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The algorithm based on the maximum capacity can select the optimal transmit and receive antenna combination, but it needs to calculate the capacity of all antenna combinations, the complexity increases exponentially, the calculation amount is large, and the calculation time is long

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
  • Antenna selection method based on GA (Genetic Algorithm)
  • Antenna selection method based on GA (Genetic Algorithm)
  • Antenna selection method based on GA (Genetic Algorithm)

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] (1) Obtain the signal-to-noise ratio (SNR) and channel gain of the link from the sending node to the receiving node through channel estimation, etc. H = h 11 h 12 . . . h 1 N T h 21 h 21 . . . h ...

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 an antenna selection method based on a GA (Genetic Algorithm). Aiming at the defects that the complex rates of the combined capacities of all antennae calculated by a maximum capacity algorithm are tend to exponential growth, a suboptimum, even optimal transmitting and receiving antenna with maximum capacity can be quickly searched by adapting genetic searching to join multi-antenna transmission, therefore the complexity and calculated amount of the antenna selection can be reduced, and the complex rate can be linearly increased only when the number of the antennae is increased, therefore the calculated quantity and calculating time length can be greatly reduced.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to a genetic algorithm-based antenna selection method. Background technique [0002] At present, in a multi-antenna wireless communication system, multiple antennas are deployed on the transceiver node to increase the transmission rate and resist channel effects such as multipath. However, due to the relatively expensive radio frequency circuits, it is impractical and unnecessary to assemble a radio frequency link for each antenna. Usually, some optimal antennas are selected for transmission by using the established antenna selection criteria to reduce system costs and ensure higher transmission rates. Purpose. [0003] Currently, antenna selection criteria are based on algorithms such as maximum capacity and maximum signal-to-noise ratio. The algorithm based on the maximum capacity can select the optimal combination of transmitting and receiving antennas, but it need...

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): H04B7/04
CPCH04B7/061H04B7/0802
Inventor 陆显松肖琨
Owner GUANGXI NORMAL 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap