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Tracking algorithm for high maneuvering targets

A technology of high maneuvering target and tracking algorithm, applied in the field of high maneuvering target tracking algorithm, can solve the problems such as the inability to obtain accurate conversion probability between models, the limited use of IMM algorithm and the conversion probability of tracking accuracy, to improve accuracy and performance. Effect

Inactive Publication Date: 2012-07-11
NANCHANG HANGKONG UNIVERSITY
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Problems solved by technology

[0008] However, in this technology, due to the use of multiple parallel Kalman filters in the interactive multi-model, the improvement of tracking maneuver performance is exchanged for larger computing resources; Obtained, the use of the IMM algorithm and the tracking accuracy are also limited due to the prior determination of the transition probability between the models

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  • Tracking algorithm for high maneuvering targets
  • Tracking algorithm for high maneuvering targets
  • Tracking algorithm for high maneuvering targets

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Embodiment

[0054] Example: one A high maneuvering target tracking algorithm, its specific steps are as follows:

[0055] First, establish the basic motion model of the system.

[0056] Maneuvering target tracking essentially refers to accurately estimating and predicting the state of maneuvering targets (such as position, velocity, and acceleration, etc.) by establishing an accurate maneuvering target motion model with the help of sensor measurement information. The basic principle block diagram of maneuvering target tracking is as follows: figure 1 shown. The basic elements of maneuvering target tracking mainly include the following aspects: formation and processing of measurement data, maneuvering target model, maneuvering detection and identification, filtering and prediction, selection of tracking coordinate system and filtering state variables.

[0057] Assuming that the movement mode of the maneuvering target and the observation of the target can be expressed by a known mathem...

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Abstract

The invention discloses a tracking algorithm for high maneuvering targets. Under the colored noise condition, a target movement model and an observation model are established; the maneuvering targets are tracked by adopting an interactive multi-mode (IMM) algorithm-based Kalman filter; and a 'current' statistical model which is self-adaptively adjusted by acceleration in the IMM algorithm is combined with CV and CA models. The integral IMM algorithm performance is improved; by using system mode information in the current measurement, a Markov transition probability is calculated on line in real time, so that an accurate posterior estimate is obtained, and the model fusion precision is improved.

Description

technical field [0001] The invention relates to the field of information technology, can be used in the real-time tracking of high maneuvering targets in military and civil fields, and particularly relates to a tracking algorithm of high maneuvering targets. Background technique [0002] In military and civilian fields, such as anti-missile and air traffic control, reliable and accurate tracking of targets is always the main purpose of target tracking system design. The tracking of maneuvering targets has always been the focus of research. To achieve precise tracking of maneuvering targets, the first problem to be solved is to match the established target motion model with the actual target motion model. [0003] In the process of establishing the maneuvering target model, there are errors in the motion state of the maneuvering target obtained by the detector and there are also some unpredictable situations, such as subjective operations and changes in the surrounding enviro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
Inventor 李忠民贾杰
Owner NANCHANG HANGKONG UNIVERSITY
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