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

State estimation and data fusion method for multi-rate observation data

A technology of observation data and state estimation, which is applied in the fields of electrical digital data processing, special data processing applications, calculations, etc., and can solve problems such as distributed data fusion and energy saving issues that are not considered

Inactive Publication Date: 2015-02-04
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF0 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the past few years, there have been many articles combining the transmission rate method with the distributed fusion method, but none of these articles consider the energy saving problem in distributed data fusion

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
  • State estimation and data fusion method for multi-rate observation data
  • State estimation and data fusion method for multi-rate observation data
  • State estimation and data fusion method for multi-rate observation data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The following examples illustrate the present invention:

[0037] Hardware environment: computer; correlator

[0038]Software configuration: Windows 2000 / XP; any language environment software such as matlab or C language or C++.

[0039] The block diagram of centralized, sequential and distributed state estimation and data fusion methods for multi-rate observation data in wireless sensor networks is shown in figure 1 , as shown in 2, 3.

[0040] A multi-rate sensor, discrete-time linear dynamical system with N sensors observing the same target can be described as

[0041] x(k i+1 )=A p x(k i )+B p w p (k i ), i=0,1,2,...

[0042] the y l (k i )=C pl x(k i )+v pl (k i ),l=1,2,...,N

[0043] Among them, x(k i )∈R n is k i The state of the system at time. A p ∈R n×n is the system transition matrix, B p ∈R n is the system noise matrix; w p (k i ) is the system noise, modeled as a Gaussian distribution.

[0044] is sensor l at time k i Measureme...

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 centralized state estimation and data fusion method for multi-rate observation data. By applying the lift technique, a multi-rate estimation system is modeled into a single-rate discrete time system with multiple random parameters; upon an obtained system model, a centralized fusion estimation algorithm, a sequential fusion estimation algorithm and a distributed fusion estimation algorithm are respectively proposed.

Description

technical field [0001] The invention belongs to the technical field of multi-sensor information fusion in the aspect of information processing, and relates to a state estimation and data fusion method of multi-rate observation data. Background technique [0002] In dynamic systems, filtering is an estimate of the current state. The word "filter" is used because the process of obtaining an optimal estimate from noisy data amounts to "filtering out" the noise. The term filtering therefore has the meaning of eliminating interfering signals, that is, noise. In the control system, the controller also needs to filter the signal to obtain the state estimation in the dynamic system. Signal filtering is often used in signal processing in the frequency and space domains. In the spatial domain, e.g. selecting signals coming from a certain direction. Navigation is an evaluation platform for detecting the position of sensors. [0003] In the sensor network, the state estimation can ...

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): G06F19/00
Inventor 闫莉萍姜露夏元清付梦印
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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