Ballistic trajectory formation method based on exponential weighting attenuated memory filtering

A technology of attenuation memory and ballistic trajectory, applied in radio wave measurement systems, instruments, etc., can solve problems such as noise covariance, filter divergence, error accumulation, etc.

Inactive Publication Date: 2014-04-23
HOHAI UNIV
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Problems solved by technology

In the filtering process, the existence of nonlinear factors has a great influence on the filtering stability and state estimation accuracy. If the ballistic model has a large error in the linearization process, the results of the extended Kalman filter will diverge; in addition, Due to the inaccurate understanding of the meteorological factors during the flight of the p

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  • Ballistic trajectory formation method based on exponential weighting attenuated memory filtering
  • Ballistic trajectory formation method based on exponential weighting attenuated memory filtering
  • Ballistic trajectory formation method based on exponential weighting attenuated memory filtering

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Embodiment Construction

[0086] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0087] A ballistic trajectory formation method based on exponentially weighted attenuation memory filter, such as figure 1 shown, including the following steps:

[0088] Step 1. Establishing ballistic equations and observation equations based on state variables according to the ballistic model, discretizing and linearizing the ballistic equations and observation equations, thereby establishing approximate linear equations of the ballistic equations and observation equations;

[0089] Step 101, establishing ballistic equation and observation equation;

[0090] Set up the ballistic equation in the ground coordinate system:

[0091] dX dt = dx dt ...

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Abstract

The invention discloses a ballistic trajectory formation method based on exponential weighting attenuated memory filtering. During the ballistic trajectory formation process, errors generated during the trajectory model linearization process are reduced by a state deviation Kalman filter equation, and filter divergence caused by errors of the trajectory model is inhibited by the exponential weighting attenuated memory filtering. Thus, reliable filter data is provided for a trajectory prediction system. According to the invention, filter divergence can be inhibited effectively, and system stability can be raised.

Description

technical field [0001] The invention relates to a method for forming a ballistic trajectory, in particular to a method for suppressing divergence in the process of ballistic extrapolation based on exponentially weighted attenuation memory Kalman filter. Background technique [0002] After the artillery position radar obtains the trajectory of the projectile, it uses the Kalman filter data to extrapolate the ballistic trajectory to obtain the coordinates of the enemy artillery position. The Kalman filter uses the minimum mean square error criterion to estimate the dynamic parameters of the linear model where the system noise and process noise are white Gaussian noise. Since the ballistic model is a nonlinear model represented by a differential equation, in the ballistic extrapolation process, the nonlinear filtering problem is transformed into an approximate linear filtering problem by using Taylor series expansion, and then the nonlinear filtering problem is solved by using ...

Claims

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Application Information

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IPC IPC(8): G01S7/02
CPCG01S7/02
Inventor 胡居荣周晶欧阳广帅韩亚红曹宁
Owner HOHAI UNIV
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