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

CMA blind equalization variable step size optimization method for MPSK signals

An optimization method and a technology of blind equalization, which is applied in the shaping network, baseband system, digital transmission system, etc. The effect of precision

Inactive Publication Date: 2019-12-17
SOUTHWEAT UNIV OF SCI & TECH
View PDF2 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In order to solve the contradiction between the convergence speed and convergence accuracy of the traditional CMA algorithm, the present invention proposes a CMA blind equalization variable step size optimization method for MPSK signals

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
  • CMA blind equalization variable step size optimization method for MPSK signals
  • CMA blind equalization variable step size optimization method for MPSK signals
  • CMA blind equalization variable step size optimization method for MPSK signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In the attached picture, figure 1 Carry out the functional block diagram of blind equalization for the present invention, its specific implementation process uses figure 2 Flow chart representation. In order to further illustrate the content, effects and innovations of the invention, the technical details thereof are further elaborated below.

[0031] Firstly, the input signal of the blind equalizer in the present invention is the quasi-baseband signal after rough demodulation by the receiver, which is divided into two signals of I and Q. The order of the blind equalizer is N , the tap weight vector is W ( n ), the input signal is x ( n ), the output signal is y ( n ), where the input signal x ( n ) including multipath and noise. memoryless nonlinear estimator g (·) Blind equalizer output signal y ( n ) performs nonlinear transformation to obtain the estimated value of the signal at the sending end z ( n ). error signal e ( n ) through the optimized...

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 CMA blind equalization variable step size optimization method for MPSK signals, and belongs to the field of digital communication signal processing. The method is characterized in that the convergence step length of a blind equalization algorithm is controlled through a blind equalization convergence error; the step length of the optimized CMA blind equalization algorithmis cooperatively controlled by an inverse proportional function and an exponential function, and the fractal property is utilized, so that the step length of the equalization algorithm is quickly reduced at the early stage of the algorithm, the convergence speed is increased, the step length of the algorithm changes slowly at the later stage of the algorithm, and residual errors are reduced. Compared with a traditional fixed-step-length CMA algorithm, the optimized CMA blind equalization algorithm has the advantages of being high in convergence speed, small in residual error and the like.

Description

technical field [0001] The invention is mainly optimized for the situation that the effect of the CMA blind equalization algorithm with fixed step length at the demodulation end of the digital communication system is not ideal. It involves the monotonic characteristic of exponential function, the monotonic characteristic of inverse proportional function, and the fractional property. It aims to improve the contradiction between convergence accuracy and convergence speed in the traditional CMA algorithm, so as to obtain better convergence performance, and belongs to the field of communication signal processing. Background technique [0002] In wireless communication systems, intersymbol interference caused by channel fading, time variation, nonlinearity and multipath propagation will lead to bit errors. In order to reduce the impact of intersymbol interference on communication demodulation performance, the channel must be properly corrected, that is, channel equalization. Th...

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): H04L25/03H04L27/22
CPCH04L25/03006H04L25/03089H04L27/22H04L2025/03687
Inventor 江虹辜馨月伍春蒋亮亮杨浩
Owner SOUTHWEAT UNIV OF SCI & TECH
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