A channel matrix and interference covariance matrix estimation method suitable for mimo-ofdm system

A technology of interference covariance and channel matrix, applied in the field of MIMO-OFDM systems, can solve problems such as reducing channel estimation performance, and achieve the effect of high precision

Active Publication Date: 2017-03-08
SOUTHEAST UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional channel estimation methods, such as least squares estimation, treat interference as white noise, which seriously degrades the performance of channel estimation, so it is necessary to consider the problem of channel estimation under CCI

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 channel matrix and interference covariance matrix estimation method suitable for mimo-ofdm system
  • A channel matrix and interference covariance matrix estimation method suitable for mimo-ofdm system
  • A channel matrix and interference covariance matrix estimation method suitable for mimo-ofdm system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] In order to enable those skilled in the art to better understand the solution of the present invention, the following will be combined with the attached figure 1 and figure 2 The technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0022] The specific implementation examples are as follows:

[0023] 1. System model

[0024] To simplify the scenario, consider a with N t root transmit antenna, N r root receiving antenna and N c single-user MIMO-OFDM system with subcarriers. The pilot adopts the training mode, the data is transmitted in blocks, and a total of N is transmitted in each block....

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 provides a channel matrix and interference covariance matrix estimation method suitable for an MIMO-OFDM system. The method is characterized in that based on a maximum posterior probability rule, channel matrixes and interference covariance matrixes on all sub-carriers are estimated in a combined mode. In detail, the method includes the steps that (1), by the adoption of a least square (LS) rule, the initial estimation of the channel matrixes is obtained; (2), each interference covariance matrix is expressed as a low-dimension matrix, by the utilization of the current estimation value of the channel matrixes, the posterior probability density function, about receive data, of the low-dimension matrixes is obtained, and the posterior probability density function is maximized to obtain the estimation of the interference covariance matrix; (3), by the utilization of the estimation value of the interference covariance matrixes, the posterior probability density function, about receive data, of the channel matrixes is obtained, and the posterior probability density function is maximized to obtain the estimation of the channel matrixes; (4), the step2 and the step3 are performed in an iterative mode until convergence is performed. The method has the advantage that according to the scheme, the estimation precision of the channel matrixes and the interference covariance matrixes can be effectively improved.

Description

technical field [0001] The invention relates to a MIMO-OFDM system, in particular to a method for estimating a channel matrix and an interference covariance matrix of the MIMO-OFDM system when co-channel interference is considered. Background technique [0002] Multiple-input multiple-output (MIMO) technology configures multiple antennas at the transmitting end and the receiving end. Through the combination of multiplexing technology or diversity technology, it makes full use of the multipath characteristics of the scattering channel to transmit multiple independent and parallel data in space. Stream, without increasing the system bandwidth, doubles the wireless communication system capacity and link reliability, and increases the system transmission rate. Therefore, MIMO technology has received widespread attention, and is considered to be a major breakthrough in modern wireless communication and one of the key technologies that must be adopted in future 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): H04L25/02H04L25/03
Inventor 高西奇潘云强孟鑫江彬金石
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

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