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Method for revising maximum likelihood registration based information infusion

Inactive Publication Date: 2008-02-20
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0005] The present invention aims at the problems of the above-mentioned prior art, and provides a modified maximum likelihood registration method based on information fusion, so that the redundant information of multiple sensors can be used to solve the problem that the target cannot be observed in the blind area during passive sensor deviation registration. problem, solves the influence of the target position in the unobservable area on the bias registration, and improves the bias estimation accuracy of passive sensors

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  • Method for revising maximum likelihood registration based information infusion
  • Method for revising maximum likelihood registration based information infusion
  • Method for revising maximum likelihood registration based information infusion

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Embodiment Construction

[0030] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following the described embodiment.

[0031] The target true track state equation of the present embodiment is: x(k)=130+150sin(0.06k), y(k)=30-5k, wherein k=1,..., N(N=100), unit: km, the coordinates of passive sensors A, B, and C are: (300, -200), (80, 75), (0, -200) respectively.

[0032] In this embodiment, both the observation platform and the radiation source are in the same plane XY, and only the azimuth angle of the target is measured. System fixed deviation vector β=[-4°, 7°, -7°] T , the covariance matrix of system measurement noise R=diag[(0.5°) 2 , (1°) 2 , (1°) 2 ], the initial bias esti...

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Abstract

The utility model relates to a modified maximum likelihood registration method based on information fusion, belonging to the technical field of target tracking, which comprises the following steps: step one, a passive sensor in multi-platform system is responsible for measuring the target position within observation region, and obtaining redundant information of the target within blind area; step two, with the use of the redundant information in the multi-platform system, the target position in the blind area is calculated; step three, the deviation of the passive sensor is estimated with the maximum likelihood method according to the target position calculated in step two; step four, the estimated deviation is adopted to convergence criterion; step five, the deviation values meeting the convergence requirement is registered to the passive sensor to estimate the target state further. The utility model has the advantages of small calculation quantity, simplicity and effectiveness, and easy operation; thus, the method can be widely used in robotics, intelligent transportation, air traffic control and aerospace, aviation, navigation and other fields.

Description

technical field [0001] The invention relates to a parameter estimation method in the technical field of target tracking, in particular to a modified maximum likelihood registration method based on information fusion. Background technique [0002] Angle-only tracking is an important tracking method in the tracking field. It has the advantages of long working distance, concealed reception, and not easy to be detected by the other party. This method estimates the state of the target by using the angular information about the target obtained by the passive sensor. Therefore, guiding the weapon system to carry out hidden attacks on the radiation source plays an important role in improving the survivability and combat capability of the system in the electronic warfare environment. play an important role. However, due to the inherent nonlinearity of single-station pure-angle tracking, the incompleteness of measurement data and the variability of the maneuvering target's motion st...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/02G01S13/68G01S5/02G01S19/07
Inventor 敬忠良祁永庆胡士强
Owner SHANGHAI JIAO TONG UNIV
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