Discrete particle cluster algorithm based V-BLAST system detecting method

A V-BLAST, discrete particle swarm technology, applied in diversity/multi-antenna systems, preventing/detecting errors through diversity reception, space transmit diversity, etc., can solve the problems of good bit error rate performance, high computational complexity and bit errors rate, low computational complexity and other issues, to achieve the effect of low complexity and good bit error rate performance

Inactive Publication Date: 2008-04-09
XIDIAN UNIV
View PDF0 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is: in order to overcome the deficiency that existing method has higher computational complexity and bit error rate, aim at the characteristic of V-BLAST system, propose a kind of V-BLAST system detection method based on discrete particle swarm optimization algorithm, Compared with other classic V-BLAST system detection methods, it can obtain lower computational complexity and better bit error rate performance

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
  • Discrete particle cluster algorithm based V-BLAST system detecting method
  • Discrete particle cluster algorithm based V-BLAST system detecting method
  • Discrete particle cluster algorithm based V-BLAST system detecting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Referring to Fig. 1, it is a schematic diagram of transmission and reception of the V-BLAST system of the present invention, and the method of the present invention is mainly used in the last step detection method of the system.

[0029] With reference to Fig. 2, it is the flow chart of detection method of the present invention, in order to specify advantage and characteristic of the present invention, below the realization process of this invention is described, and with actual detection and classification process, the data obtained and result are drawn in Fig. 3~Figure 6.

[0030] 1. Initialize the particle swarm and set the initial parameters

[0031] Referring to Figure 1, define a V-BLAST system in which the number of transmitting antennas is M, the number of receiving antennas is N, BPSK modulation is used, and the transmission data frame length is L. A single signal stream is converted into M sub-signal streams through serial-to-parallel conversion, and after sy...

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 V-BLAST system detection method based on discrete particle swarm algorithm, which belongs to the technical filed of artificial intelligence and aims to overcome the disadvantages in the prior art, such as high calculation complexity and code error rate. The inventive method can provide better performance of code error rate and reduce the actual complexity. The method is implemented by the steps: 1. initializing a particle swarm with a size of m, randomly generating a position vector of each particle, the dimensional number of the position vector being the same as the transmitting antenna, wherein the setup variation rate is m, the evolution algebra t is zero and the condition of ending the determined algorithm is that the maximal iterative algebra is ga; 2. calculating the particle adaptability, judging whether the particle adaptability meets the condition of iterative termination, if meeting the condition, the algorithm is ended, otherwise going to the step 3; step 3, updating the particle position, executing the variation operation, updating the individual extreme value and the overall extreme value, and going to the step 2. The invention can be used to solve the detection problem of vertical layered space-time system in the field of wireless communication.

Description

technical field [0001] The invention belongs to the field of artificial intelligence technology, and relates to the application of AI technology in the field of communication technology with multiple input and multiple output, that is, MIMO technology, specifically a vertical layered space-time system based on discrete particle swarm optimization V-BLAST detection method. The method can be used to solve the detection problem of the vertically layered space-time system in the field of wireless communication, so as to improve system performance and reduce implementation complexity. Background technique [0002] Multiple-input multiple-output technology, namely MIMO technology, is a major breakthrough in the field of wireless communication. This technology can double the capacity and spectrum utilization of the communication system without increasing the bandwidth, and is one of the key technologies adopted by the new generation of mobile communication systems. Space-time cod...

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): H04L1/06H04B7/04
Inventor 焦李成公茂果侯彪王爽刘芳刘帆朱明明
Owner XIDIAN 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