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Capacity information filtering-based pure direction tracking method of noise-related system

A volume information filtering, azimuth-only technology, applied in the field of azimuth-only target tracking

Inactive Publication Date: 2013-03-27
HANGZHOU DIANZI UNIV
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  • Abstract
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Problems solved by technology

[0004] In order to solve the noise-related situation, the present invention proposes a bearing-only tracking method based on the volume information filtering of the noise-correlated system, so as to achieve the purpose of tracking the target

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  • Capacity information filtering-based pure direction tracking method of noise-related system
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  • Capacity information filtering-based pure direction tracking method of noise-related system

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Embodiment Construction

[0063] The implementation flow chart of the present invention is as figure 1 As shown, the specific implementation is as follows:

[0064] In order to solve the situation of noise correlation, the present invention proposes a volumetric information filter (SCIF-CN) design method under noise correlation conditions, so as to achieve the purpose of tracking the target. In order to describe the content of the present invention conveniently, at first the present invention establishes a model for the single-sensor target system, and it comprises 2 equations, state equation and observation equation, respectively as follows:

[0065] (1)

[0066] (2)

[0067] here is the time indicator; is the state vector of the system; is for the state vector the observation vector; and are known differentiable functions; the process noise and measurement noise Both are Gaussian white noise with zero mean, and their va...

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Abstract

The invention relates to a capacity information filtering-based pure direction tracking method of a noise-related system, which belongs to the field of target tracking. The conventional capacity kalman non-linear system target tracking method is implemented on hypothetic premise that process noise is not related to measurement noise, so that the use range of the method is greatly limited. According to the method, on premise that expanded kalman information filtering related to the noise is deducted, capacity kalman information filtering is embedded into two processes of time updating and measurement updating. The problem of noise relevance is solved, and therefore the practicability of the method provided by the invention is greatly improved.

Description

technical field [0001] The invention belongs to the field of target tracking, and mainly relates to a direction-only target tracking method based on volume information filtering in a noise correlation system. Background technique [0002] Sensor target tracking is a multidisciplinary technology. In recent years, with the development of sensor technology, computer technology, communication technology and information processing technology, especially the urgent needs of the military, the research content of multi-sensor target tracking technology has become increasingly in-depth and extensive. In the military, it is mainly used in command, control, communication and intelligence systems, and it also has important application value in the fields of robotics and civil aviation control. At present, there are many better algorithms for target tracking, such as Kalman filter algorithm (KF), unscented Kalman filter algorithm (UKF), volumetric Kalman filter algorithm (CKF), etc. How...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 文成林许大星葛泉波骆光州
Owner HANGZHOU DIANZI UNIV
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