Non-Gauss noise-against blind equalization method

A non-Gaussian noise and blind equalization technology, which is applied to the shaping network, electrical components, and network topology in the transmitter/receiver, can solve the problems of relying on Gaussian noise assumptions, slow convergence speed, and large data volume

Pending Publication Date: 2010-07-07
NANJING UNIV OF POSTS & TELECOMM
View PDF0 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The purpose of the present invention is to overcome the shortcomings of the traditional blind equalization method based on high

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
  • Non-Gauss noise-against blind equalization method
  • Non-Gauss noise-against blind equalization method
  • Non-Gauss noise-against blind equalization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The idea of ​​the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0047] figure 1 is the system and equalizer model of the present invention. The equalizer input and output signals of the wireless sensor target node have the following relationship: x k = Σ i = 0 M - 1 h i s k - i + v k , y k = Σ i = 0 L - 1 w i x k - i , ...

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 non-Gauss noise-against blind equalization method, aiming at providing the non-Gauss noise-against blind equalization method for wireless communication network, in particular between wireless sensor network nodes, in order to guarantee corrective data transmission between wireless sensor nodes. The maximal signal-to-noise energy ratio of an output signal of an equalizer is utilized as a starting point to construct a new cost function. Based on a method for converting the form of constraint condition, an alternative constraint condition is found, the constraint optimization problem is converted into a non-constraint optimization problem, secondary [epsilon]-insensitive loss functions are adopted to construct a solving method conforming to iterative reweighted least squares method, resulting in a global optimal solution for the cost function. The method can lower cell consumption of the wireless sensor network nodes and takes the requirement on small number of data as well as rapid convergence into consideration in the aspect of algorithm design. The algorithm is suitable for the problem of blind equalization for low-order and high-order quadrature amplitude modulation QAM and PSK signals. Drawings attached represent a model for signal transmission between the wireless sensor network nodes according to the invention.

Description

technical field [0001] The invention belongs to the technical field of signal processing of wireless communication, and is suitable for blind equalization against non-Gaussian noise when the channel between nodes of wireless sensor network has multipath fading characteristics. Background technique [0002] As a special kind of wireless network, wireless sensor network especially emphasizes the communication between devices. The wireless sensor network is data-centric, that is, the wireless sensor network nodes are both routers and hosts. The wireless sensor node transmits the locally processed data to the intermediate processing node, and the intermediate processing node acts as a data fusion node, which can perform corresponding fusion and intelligent processing on multiple received information, and finally send the information to the data receiving end (Sink end ). The channel between nodes has typical multipath fading characteristics due to the influence of propagation ...

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
IPC IPC(8): H04L25/03H04W84/18
Inventor 张志涌阮秀凯张昀
Owner NANJING UNIV OF POSTS & TELECOMM
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