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

A Blind Equalization Algorithm for Burst Signals

A blind equalization algorithm and burst signal technology, applied to the shaping network in the transmitter/receiver, baseband system components, etc., can solve the problem of slow convergence speed, poor tracking ability of fast-changing channels, and inability to adapt to the requirements of communication development and other problems to achieve the effect of reducing complexity, ensuring real-time processing performance, and achieving fast blind equalization

Inactive Publication Date: 2014-10-29
SHANGHAI NORMAL UNIVERSITY
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the increase of communication capacity, the method of training sequence guidance to achieve equalization reduces the channel capacity, and has poor tracking ability for fast-changing channels, which cannot meet the requirements of communication development.
The traditional blind equalization algorithm has the disadvantages of large residual error and slow convergence speed, and cannot meet the needs of burst signal equalization

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 Blind Equalization Algorithm for Burst Signals
  • A Blind Equalization Algorithm for Burst Signals
  • A Blind Equalization Algorithm for Burst Signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0014] see figure 1 A burst signal blind equalization algorithm shown, the blind equalization algorithm includes the following steps:

[0015] Fast channel estimation of the wireless channel is carried out by using the survivor sequence algorithm, and the forward channel parameter estimation is obtained;

[0016] According to the channel model of intersymbol interference, the receiving channel can be expressed as

[0017] z k = x k + w k = Σ m = 0 L - 1 a k - m f ...

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 blind equalization method for a burst signal. The blind equalization method comprises the following steps of: first performing rapid channel estimation on a wireless channel by adopting a per-survivor sequence algorithm to obtain a forward estimated channel parameter; then decomposing the forward estimated channel parameter into a system consisting of a minimum phase system and a maximum phase system, which are connected in series, when the mean square error of the forward estimated channel parameter is less than 0.05 and the forward estimated channel parameter is not a minimum phase, and inverting the minimum phase system and the maximum phase system respectively to obtain a linear equalizer initialization coefficient; and finally substituting the linear equalizer initialization coefficient into a decision directed minimum mean square error algorithm to realize rapid blind equalization. According to the blind equalization algorithm for the burst signal, the rapid blind equalization of the burst signal is realized, the complexity of the algorithm is lowered, and the real-time processing performance of the algorithm is ensured.

Description

technical field [0001] The present invention relates to the field of radio communication, more specifically, relates to a burst signal blind equalization algorithm. Background technique [0002] In the process of radio communication, burst signal communication has the characteristics of large user capacity and strong adaptability. However, due to its short signal duration and large channel differences between signals, it has always been a forbidden area for blind equalization algorithms. With the increase of communication capacity, the method of training sequence guidance to achieve equalization reduces the channel capacity, and has poor tracking ability for fast-changing channels, which cannot meet the requirements of communication development. The traditional blind equalization algorithm has the disadvantages of large residual error and slow convergence speed, and cannot meet the needs of burst signal equalization. The blind equalization algorithm for burst signals must 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
Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/03
Inventor 汪春梅孙洪波
Owner SHANGHAI NORMAL UNIVERSITY
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