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

Joint estimation method of high-precision wireless channel parameterized model

A parametric model, wireless channel technology, applied in the direction of baseband system components, etc., to achieve the effect of improving resolution accuracy

Inactive Publication Date: 2009-11-25
SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
View PDF0 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is to provide a joint estimation method of a high-precision wireless channel parameterized model, which is used to solve the problem of joint estimation of two components of aliasing in the impulse response of a wireless communication channel, so that the estimation of each component more accurate

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
  • Joint estimation method of high-precision wireless channel parameterized model
  • Joint estimation method of high-precision wireless channel parameterized model
  • Joint estimation method of high-precision wireless channel parameterized model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The specific implementation steps of the present invention will be further described below in conjunction with the accompanying drawings.

[0037] A joint estimation method of a parametric model of a high-precision wireless channel is used to solve the problem of joint estimation of two aliased components in the impulse response of a wireless communication channel. Including the following specific steps:

[0038] 1) The negative feedback (g) of the reconstructed diffuse scattering signal component is superimposed on the original observation signal (a) to obtain the reflection signal component (b) to be estimated;

[0039] 2) Estimation of reflection path component parameters;

[0040] Applying a parameter estimation algorithm to the input reflection signal component (b), performing reflection path impulse response parameter estimation, and outputting the estimated reflection path component parameter set (c);

[0041] 3) Reconstruction of reflected signal components; ...

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 joint estimation method of high-precision wireless channel parameterized model, comprising the following steps: reflecting radial component parameter estimation, diffusing radial component parameter estimation, reflecting signal component reestablishment, and diffusing signal component reestablishment. The output of reflecting radial component parameter estimation is negatively fed back to the input of diffusing radial component parameter estimation by reflecting signal component reestablishment; the output of diffusing radial component parameter estimation is negatively fed back to the input of reflecting radial component parameter estimation by diffusing signal component reestablishment; and the output terminals of two parameter estimators self-consistently estimate each parameter of independent components of channel models by such 'butterfly negative feedback' cross iteration mechanism to increase the resolving precision and wideband wireless channel parameterized model. The invention is capable of being applied to the high-precision channel test and modelling of wideband wireless communication systems and digital broadcasting systems, such as WIMAX, LTE, B3G, 4G, UWB and DVB.

Description

technical field [0001] The invention relates to the technical fields of radio wave propagation and wireless communication. In particular, it relates to a joint estimation method of a high-precision wireless channel parameterized test model applied to wireless communication channel measurement modeling. Background technique [0002] Channel modeling methods are generally divided into three categories: one is the ideal statistical model, which generally assumes that the fading channel is an independent and identically distributed complex Gaussian channel. Models, such as Gaussian generalized stationary non-correlation model, Saleh-Valenzuela statistical model. The second is to establish the geometric distribution of scatterers in the wireless channel, and use ray tracing and other methods to study modeling, such as the circular distribution model, Gesbert's double Rayleigh vector channel model, Von Mises angular distribution model, double-ring model, three-ring model, And 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 Applications(China)
IPC IPC(8): H04L25/02
Inventor 王萍李颖哲
Owner SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
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