Large-scale MIMO (Multiple-Input Multiple-Output) detecting method and device

A detection method and detection device technology, which are applied in the directions of space transmit diversity, shaping network in transmitter/receiver, transmission system, etc. Detecting the effect of improved performance

Active Publication Date: 2016-04-20
SOUTHEAST UNIV
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the approximation error is related to the configuration of the number of antennas, which limits its application range
Although the iterative detection algorithm based on belief propa

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 (Multiple-Input Multiple-Output) detecting method and device
  • Large-scale MIMO (Multiple-Input Multiple-Output) detecting method and device
  • Large-scale MIMO (Multiple-Input Multiple-Output) detecting method and device

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0028] The technical solution of the present invention will be described in detail below in conjunction with the drawings:

[0029] The basic principle of the existing real number domain BP detection algorithm is as follows: in the MIMO system, its equivalent real number domain model is used to construct the corresponding factor graph, and the complex number domain operation is converted to the real number domain operation to realize the iterative detection based on BP. Among them, the transmitted signal is called the "signal node", and the received signal is called the "observation node". First, each signal node updates the prior information according to the posterior information obtained from the variable node, and then transmits it to all the observation nodes connected to it. Second, each observation node calculates the posterior information based on the prior information from the signal node, and then transmits it back to the signal node connected to it. Thus, a message upd...

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 (Multiple-Input Multiple-Output) detecting method and belongs to the technical field of wireless communication. The large-scale MIMO detecting method comprises the steps of detecting an MIMO signal by utilizing a BP (Belief Propagation) based iterative algorithm in a real number domain; before BP iteration, firstly normalizing and quantifying all the definitive variables to enable the variables to be within a range of [-1, 1], and then representing the normalized and quantified definitive variables by using random bit streams with symbols; in the BP iteration process, finishing updating and delivery of information through random calculation; and after the BP iteration is finished, converting the random bit streams output after iteration into the definitive variables to serve as output soft information. The invention also discloses a large-scale MIMO detecting device. By combining the BP algorithm in the real number domain with random calculation, the hardware consumption and system delay just increase linearly along with the addition of the number of transmitting or receiving antennas while the detecting performance as same as that of definite detection is guaranteed, and accordingly the large-scale MIMO detecting method and device can well adapt to large-scale MIMO scenes.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a massive MIMO (Multiple-Input Multiple-Output, multiple-input-multiple-output) detection method and detection device. Background technique [0002] With the rapid development of wireless communication technology, mobile communication has become a hot technology with the greatest development potential and the broadest market prospect in today's communication field. Mobile communication has experienced the development of the first generation of analog communication (1G), the second generation of cellular digital communication (2G), and the third generation of CDMA broadband communication (3G), and has now entered the industrialization of the fourth generation of mobile communication (4G) application stage. Mobile communication is developing towards high speed, high capacity, high spectral efficiency and low power consumption, and continuously meets people's...

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): H04B7/04H04L25/03
CPCH04B7/0413H04L25/03184
Inventor 张川杨俊梅尤肖虎
Owner SOUTHEAST 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