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

Blind equalization method for wavelet neural network based on space diversity

A technology of wavelet neural network and space diversity, applied to the shaping network in the transmitter/receiver, preventing/detecting errors through diversity reception, baseband system components, etc., can solve the problem of wasting bandwidth resources, etc.

Inactive Publication Date: 2013-01-02
NANJING UNIV OF INFORMATION SCI & TECH
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional equalization techniques need to periodically send training sequences, which wastes limited bandwidth resources. Blind equalization techniques that do not need to send known training sequences can save bandwidth and improve communication efficiency.

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
  • Blind equalization method for wavelet neural network based on space diversity
  • Blind equalization method for wavelet neural network based on space diversity
  • Blind equalization method for wavelet neural network based on space diversity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0102] Figure 4 Simulation result shows, the convergence speed of the inventive method SDE-WNN will be faster than WNN1 and WNN2, as can be seen from figure (a), the inventive method SDE-WNN mean square error is smaller than WNN1 1dB, and obviously smaller than WNN2 4dB, Figure 4 Comparing the three figures (b), (c) and (d), it can be seen that the constellation diagram of the method SDE-WNN of the present invention is clearer and more compact.

[0103] [Embodiment 2] still adopt the channel of Embodiment 1, the transmission signal is 2PAM, and the signal-to-noise ratio is 20dB, adopts D=2 in the experiment, represents the wavelet neural network blind equalizer of channel 1 and channel 2 with WNN1 and WNN2, wavelet The length of the neural network blind equalizer is 11.

[0104] Figure 5 Show, the convergence speed of the inventive method SDE-WNN will be faster than WNN1 and WNN2, and mean square error is obviously smaller than WNN1 and WNN2 2dB and 5dB, Figure 5 The co...

Embodiment 2

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 wavelet neural network based on space diversity. On the basis of analysis of a space diversity technology and the equalization performance of a wavelet neural network, the method reduces the influence of fading by utilizing the space diversity and overcomes intersymobl interferences by using the stronger approximation capacity of a blind equalizer of the wavelet neural network. The invention overcomes the intersymobl interferences caused by the multipath propagation and the fading characteristic of a channel at a receiving end, improves the communication quality and has high convergence speed and small mean square error. The effectiveness of the method is verified by an acoustic channel simulation result. The method can effectivelyrealize the separation of signals and noise and the real-time restoration of the signals.

Description

technical field [0001] The invention relates to a wavelet neural network blind equalization method based on space diversity, and belongs to the technical field of blind equalization methods for overcoming inter-symbol interference (Inter-Symbol Interference, ISI) caused by multipath fading of underwater acoustic channels. Background technique [0002] In the underwater communication system, inter-symbol interference (ISI) caused by multipath fading and channel distortion distorts the transmitted signal and generates bit errors at the receiving end, which seriously affects the communication quality. An effective means to reduce intersymbol interference is to use equalization technology. Since the equalization itself can be regarded as a pattern classification problem, and the neural network has good pattern classification characteristics, it is worth studying to design a blind equalizer with a neural network (see literature [1] CHENG Hai-qing, ZHANG Li-yi. Blind Equalization...

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): H04L25/03H04L1/06H04B13/02
Inventor 郭业才高敏
Owner NANJING UNIV OF INFORMATION 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