Polynomial forecast model of maneuvering target state equation and tracking method

A maneuvering target and state equation technology, which is applied in image data processing, instrumentation, calculation, etc., can solve the problems of large nonlinearity, large amount of calculation, and deterioration of tracking performance, and achieves the effect of simple form and avoiding dependence.

Inactive Publication Date: 2008-11-05
FUDAN UNIV
View PDF0 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Among the existing target dynamic models, some models are simple in form and low in accuracy, but they are simple and flexible in application, such as the white noise acceleration model; while some more accurate models are complex in form and have large no

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
  • Polynomial forecast model of maneuvering target state equation and tracking method
  • Polynomial forecast model of maneuvering target state equation and tracking method
  • Polynomial forecast model of maneuvering target state equation and tracking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0083] For maneuvering target tracking simulation 1, it is assumed that the target is within 0-60 seconds and the process noise standard deviation is 0.2 m / s 2, 61-120 seconds process noise standard deviation is 10 m / s 2 , 120-180 seconds process noise standard deviation is 0.2 m / s 2 , the measurement noise standard deviation is 100 meters. First, the polynomial model of L=2, K=3 is used to model the target position, and the polynomial model of L=1, K=2 is used to model the target speed; then the position and speed of the target are estimated respectively, that is, within a cycle, First use our polynomial model and its corresponding tracking algorithm (20)-(25) to estimate the position of the target according to the measured value; then use the difference of the estimated position as the measured value of the target speed, also use the polynomial model and its corresponding The tracking algorithm estimates the target velocity. When judging the mean value of new information ...

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 present invention pertains to the automotive object tracking technique field, specifically to an automotive target state equation polynomial forecast model and tracking algorithm. According to the polynomial form of the uniformly variable motion, the invention takes the variable-accelerated motion as subsection uniformly variable motion to process, and provides a novel automotive target dynamic model-polynomial forecast model. The model can completely avoid the dependence on the polynomial coefficients of unknown motion, using the state equation established by the method of the invention can always accurately describe the motion dynamic state. Therefore, the proposed model of the present invention can be applied in various motion target state equations, the optimal filtering algorithm of the polynomial forecast model proposed by the invention is suitable for any automotive target state estimation problem that can be described by polynomial, which requires neither prior information about the parameters of target motion nor parameter identification and the like approach for regulating parameters of the established state model, thereby completely avoiding the estimated performance deterioration problem caused by the state model inaccuracy.

Description

technical field [0001] The invention belongs to the technical field of maneuvering target tracking, and in particular relates to a new method for modeling and tracking a maneuvering target state equation. Background technique [0002] The key of target tracking is whether useful information about the target state can be extracted effectively from observations, and an accurate target dynamic model is very conducive to the extraction of this information. In general, an accurate model is even more effective than a large amount of data, and the role of the model is even more important when the observation data is very limited [1] . [0003] Almost all maneuvering target tracking algorithms are model-based, that is, it is assumed that the movement of the target and the observation of the target can be represented by a known mathematical model with a sufficiently high accuracy. Among them, the most commonly used state space model is generally expressed by the following formula: ...

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): G06T7/20
Inventor 高羽张建秋尹建君
Owner FUDAN UNIV
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