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Inertial flight trajectory backstepping method and device

A push method and ballistic technology, applied in special data processing applications, complex mathematical operations, geometric CAD, etc., can solve problems such as insufficient measurement data, difficulty in obtaining calculation results, and no application methods

Pending Publication Date: 2021-02-09
贾波 +4
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, with the continuous development of projectile concealment technology, there will be more and more situations where sufficient radar data cannot be obtained. There is no systematic and effective application method for calculations based on a small amount of test data, and it is difficult to obtain effective calculation results
[0006] The present invention aims to solve the problem of how to effectively estimate the starting point of the ballistic trajectory when the radar measurement data is insufficient or even has only a small amount of data

Method used

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  • Inertial flight trajectory backstepping method and device
  • Inertial flight trajectory backstepping method and device
  • Inertial flight trajectory backstepping method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0115] Taking the relevant parameters of the 155 grenade as the characteristic parameters of trajectory inversion, the relative coordinates and velocity of the trajectory at the end of the trajectory have been obtained, and the velocity v of this trajectory is taken x , v y , v z For observations, choose And the coincidence coefficient KR, Km is the identification parameter, which is calculated by the ballistic inversion method based on the terminal measurement data, and the calculation results are as follows:

[0116] Inverse calculation results (see Table 1):

[0117]

[0118] Table 1

[0119] It can be seen from the results that this method can accurately carry out the ballistic back calculation of this projectile, and the characteristic parameters of the relevant projectiles remain unchanged, and other projectiles can also be calculated. The calculation results of other projectiles are as follows:

Embodiment 2

[0121] 130 grenade reverse calculation results (see Table 2):

[0122]

[0123] Table 2

Embodiment 3

[0125] 122 grenade reverse calculation results (see Table 3):

[0126]

[0127] table 3

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Abstract

The invention discloses an inertial flight trajectory backstepping method and device. The method comprises the steps of acquiring trajectory data; determining missile and rocket characteristic parameters and trajectory parameters; identifying the ballistic parameters according to the acquired ballistic data; and according to the identified parameters, performing back-stepping calculation on the trajectory through a reduced-order rigid trajectory equation to obtain a flight trajectory starting point. The longer the measurement length is, the higher the calculation precision is, when the missileand rocket characteristic parameters are accurate, the backstepping result error is minimum, the backstepping range error is smaller than or equal to 0.3% o, when the characteristic parameters have errors, the precision is slightly poor, the use requirement can still be met, ballistic backstepping can be accurately conducted based on radar tail end data, dependence on radar measurement length issmall, and certain universality is achieved.

Description

technical field [0001] The present invention relates to the technical field of trajectory starting point of ballistic reverse thrust, in particular to a method and device for inertial flight trajectory reverse thrust. Background technique [0002] Ballistic inversion refers to the process of using radar detection data to obtain the starting point of ballistic through algorithm. Ballistic inversion algorithm is one of the key technologies of artillery reconnaissance and calibration radar software system. The current ballistic inversion algorithm mainly includes two categories. One is based on The estimation algorithm of the ballistic model, and the second is a machine learning algorithm based on prior samples. [0003] The estimation algorithm based on the ballistic model is based on a certain point on the ballistic segment as the initial point to perform ballistic integration in the direction of the starting point of the ballistic trajectory. When the integration reaches a g...

Claims

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Application Information

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IPC IPC(8): G06F30/15G06F30/20G06F17/13
CPCG06F17/13G06F30/15G06F30/20
Inventor 贾波王志成王龙褚进赵志明
Owner 贾波
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