Distributed fusion method of multi-Bernoulli filter

A multi-Bernoulli and fusion method technology, applied in electrical components, wireless communication, network topology, etc., can solve problems such as high real-time performance, complex fusion structure, and high cost of computing resources

Active Publication Date: 2018-12-04
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the multi-Bernoulli filter-based GCI fusion analytical form mathematical expression realizes the fusion of multi-objective posterior distributions, there are disadvantages such as high cost of computing resources and complex fusion structure, which makes the unoptimized distributed fusion algorithm unable to meet Distributed sensor networks require high real-time processing of local node information and short delays in information transmission between nodes. Therefore, there is an urgent need for an unoptimized distributed fusion algorithm with robust performance, high efficiency, and an efficient implementation method with a simple fusion structure. , to approach or meet the actual needs of distributed real-time processing, is the key to apply the distributed multi-Bernoulli filter fusion technology to a wider range of practical application scenarios

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
  • Distributed fusion method of multi-Bernoulli filter
  • Distributed fusion method of multi-Bernoulli filter
  • Distributed fusion method of multi-Bernoulli filter

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0044] Such as figure 1 Shown is a schematic flow chart of the multi-Bernoulli filter distributed fusion method of the present invention. A multi-Bernoulli filter distributed fusion method, comprising the following steps:

[0045] A. Multi-Bernoulli filters are used for local filtering for each local sensor node;

[0046] B. Using the sensor node to receive the multi-Bernoulli distribution posterior distribution information of the local sensor node and its neighboring nodes;

[0047] C. Initialize the element number of the sensor node set, and initialize the multi-Bernoulli distribution after se...

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 distributed fusion method of a multi-Bernoulli filter, which comprises the steps of carrying out local filtering on sensor nodes in a sensor network by adopting the multi-Bernoulli filter, receiving multi-Bernoulli posterior distribution of adjacent nodes through a communication link, then realizing joint grouping of target tracks among sensors based on a generalized covariance intersection information entropy, and finally calculating parameters of distributed fusion of the multi-Bernoulli filter under each target track group so as to obtain fused posterior multi-Bernoulli distribution parameters. The distributed fusion method can efficiently realize distributed fusion of the multi-Bernoulli filter under the condition of a large quantity of targets, and has the advantages of small approximation error, low implementation complexity and the like.

Description

technical field [0001] The invention belongs to the field of multi-sensor fusion, and in particular relates to a multi-Bernoulli filter distributed fusion method. Background technique [0002] Single-sensor detection systems cannot achieve accurate and effective detection of time-varying multiple targets due to their single detection angle of view, single detection capability, and complex and diverse detection environments. A sensor network detection system based on the multi-directional scattering mechanism is urgently needed to Meet the requirements of stable and continuous detection tasks for multiple targets in complex detection scenarios. On the other hand, with the improvement of computing, storage, and communication capabilities of miniaturized detectors, the multi-sensor network system constructed by this type of detector is favored, and the system provides a platform for collecting diverse target information for multi-target detection. [0003] Multi-sensor and mul...

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): H04W24/02H04W84/18
CPCH04W24/02H04W84/18
Inventor 易伟李溯琪王佰录孔令讲崔国龙杨晓波
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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