Fuzzy model particle filtering method, device and equipment and storage medium

A particle filter algorithm and fuzzy model technology, applied in the field of target tracking, can solve problems such as model uncertainty, and achieve the effect of precise tracking and excellent tracking performance

Active Publication Date: 2019-08-09
SHENZHEN UNIV
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Problems solved by technology

[0004] The invention provides a fuzzy model particle filter method, device, equipment and storage medium, which can solve the problem of uncertainty in the dynamic system model in the maneuvering target tracking system in the prior art

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  • Fuzzy model particle filtering method, device and equipment and storage medium
  • Fuzzy model particle filtering method, device and equipment and storage medium
  • Fuzzy model particle filtering method, device and equipment and storage medium

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Embodiment Construction

[0040] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0041] In the embodiment of the present invention, aiming at the uncertainty of the dynamic system model in the maneuvering target tracking system, a fuzzy model particle filter method is proposed. In this method, multiple semantic fuzzy sets are used to fuzzy represent the target feature information, And based on the closeness between semant...

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Abstract

The invention discloses a fuzzy model particle filtering method, device and equipment and a storage medium. The method comprises the steps that a T-S fuzzy model corresponding to a tracking target isconstructed; by using a preset strong tracking particle filtering algorithm, identifying a rear part parameter of the T-S fuzzy model to obtain a state updating value and a state covariance estimationvalue; through a preset fuzzy C regression clustering algorithm, identifying a front part parameter membership function of the T-S fuzzy model to obtain a front part parameter membership value; usingthe state updating value, the state covariance estimation value and the front part parameter membership value to update the T-S fuzzy model. Compared with the prior art, the method has the advantagesthat the tracking performance is better, and the target can still be effectively and accurately tracked when the tracked target suddenly changes directions or the dynamic prior information of the target is inaccurate.

Description

technical field [0001] The present invention relates to the technical field of target tracking, in particular to a fuzzy model particle filter method, device, equipment and storage medium. Background technique [0002] Target tracking is widely used in military and civilian fields, such as air traffic control and air defense. With the rapid development of modern aerospace technology, the speed and maneuverability of various aircraft are getting higher and higher. Tracking is also demanding more and more. Among them, the difficulty of target tracking lies in the difficulty of determining the target maneuverability and the difficulty of determining the measurement source. Aiming at the uncertainty of the maneuvering model, existing technical personnel have carried out some research on the modeling method of the maneuvering target. Among them, the Interacting Multiple Model (IMM) algorithm is considered to be one of the most effective algorithms so far. It passes Multi-model ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/246G06T7/277
CPCG06T7/251G06T7/277
Inventor 李良群王小梨谢维信
Owner SHENZHEN UNIV
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