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A Motion State Estimation Method Based on Judgmental Maneuver

A motion state and maneuvering technology, which is applied in the field of target tracking to achieve high-precision state estimation and high stability.

Active Publication Date: 2018-03-09
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technology of the present invention solves the problem: overcomes the deficiencies of the prior art, and provides a streamlined motion state estimation method based on judgment maneuvers. The present invention provides a relatively high-precision motion state estimation method, using a streamlined interactive multi-model approach , so that the present invention can cope with complex and changeable environments without reducing the accuracy; and the prediction verification mechanism adopted in the present invention can still obtain better state estimation results after the short-term loss of the target, and improve the stability of the algorithm sex

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  • A Motion State Estimation Method Based on Judgmental Maneuver
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  • A Motion State Estimation Method Based on Judgmental Maneuver

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Embodiment Construction

[0054] In order to further explain the technical means and effects adopted by the present invention to achieve the intended invention purpose, the specific implementation, features and effects of the motion state estimation method based on judgment maneuver proposed in the present invention are as follows: civil aviation In the air traffic control system, the data is collected by radar or other positioning methods, and the coordinates of the target are given as the input of this algorithm.

[0055] Such as figure 1 As shown, the specific operation steps of the motion state estimation method based on judgment maneuver proposed by the present invention are as follows:

[0056] Step 1: Input interaction: take the observed data of the system as the input of this algorithm, if this algorithm has not gone through the first round of iterations, then directly use the input at this time as the input of step 2 without any processing; otherwise, according to the previous The probability...

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Abstract

The invention provides a motion state estimation method based on maneuver judgment. The method is mainly applied to civil aviation air traffic control systems and other systems needing to estimate target states. According to an existing state estimation method, no remedial measures are taken for target information temporary loss, and system anti-jamming capacity is poor. In order to make up for the defects of a traditional target tracking algorithm, the motion state estimation method based on maneuver judgment is disclosed. A maneuver judgment mechanism can simulate actual motion states to obtain a high-precision state estimation effect. Besides, a probability prediction verification mechanism is used for predicting target states in the future according to the past. When the environment is complex and data errors of a sensor are large, prediction values can be used for making up for the data errors, and stability is higher.

Description

technical field [0001] The invention relates to a state estimation method, especially in the field of interactive multi-model target tracking, and is applied to the field of target tracking. Background technique [0002] Along with the advancement of modern science and technology, various highly maneuverable aircrafts, ships and other highly maneuverable moving targets have come out one after another. The maneuvering range of these types of moving targets is very large, which puts forward high requirements on the tracking system, which requires the tracking system to have good state estimation performance for various moving states of the target. However, the existing interactive multi-model algorithm for target tracking only restores the trajectory of the target, which not only has a certain delay, but also does not take any compensation measures for the short-term loss of target information, and the anti-interference ability of the system is poor. [0003] Disadvantages of...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C21/20
CPCG01C21/20
Inventor 康一梅夏洋
Owner BEIHANG UNIV