Target estimation method based on multi-source information fusion

A multi-source information fusion and target technology, applied in the field of guidance and control, can solve the problems of large delay and noise of target position information, weakened application effect, and insufficient adjustment of aircraft, and achieve stable error fluctuations, low error fluctuations, and small error fluctuations Effect

Active Publication Date: 2020-09-01
STATE GRID JIANGXI ELECTRIC POWER CO +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the process of aircraft guidance and control, obtaining the target position is an extremely important work stage. There are many methods and devices for capturing targets in the prior art, such as radar, laser seeker, infrared seeker, image recognition seeker, etc. , through these methods and equipment to obtain the position information of the target, and then provide the target basis for the guidance and control of the aircraft. Due to the high flight speed of the aircraft, it is necessary to obtain the position information of the target in real time and quickly, but if the target is moving, these targets capture The application effect of the method and equipment will be weakened, and the target position information obtained by the aircraft may have a large delay and noise;
[0003] In addition, in actual engineering, the guidance and control of the aircraft takes time, that is, it takes time to adjust the direction of the aircraft in order to align with the target. If the moving speed of the target is high, the existing hardware equipment can still capture the target, but It is too late for the aircraft to adjust its own direction to align with the target. At this time, it is necessary to provide the aircraft with an estimated target position, that is, the target position at the next moment, and allow enough time for the aircraft to adjust its flight direction.

Method used

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  • Target estimation method based on multi-source information fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0067] By observing the target with four aircraft, the line-of-sight angle information between the aircraft and the target, the position information of the aircraft relative to the target, and the speed information of the aircraft relative to the target are obtained in real time. Taking the 30th second as an example, the information obtained from the observation is as follows:

[0068] aircraft 1 2 3 4 position (m) (-10935,2866) (-10639,4173) (-11072,-1996) (-10769,2322) speed(m / s) (182.7,-121.8) (222.6,-11) (223,-8.7) (188.1,141.4) Sight Angle (rad) -0.2181 -0.3394 0.2058 0.2324

[0069] thus obtaining:

[0070] Aircraft position velocity variable

[0071] Sight angle variable is the measured line-of-sight angle between the aircraft and the target,

[0072]

[0073]

[0074] Obtained by formula (1)

[0075]

[0076] where the measurement noise The line angle measurement error is σ q =0.2°(1σ);

[0077]...

experiment example

[0105] The simulation experiment is carried out in a two-dimensional plane, in which four aircraft are selected to observe the moving target at the same time, and estimate the target state. Set the target to be at the origin of the relative coordinate system, that is, the position (0,0)m, and the target speed is ν T =15m / s, target initial velocity direction angle θ T = 45°.

[0106] The existing nonlinear centralized filtering method (NCF), the existing nonlinear distributed filtering method (NDF) and the target estimation method based on multi-source information fusion (LCF) provided by this application are respectively used to estimate the target state. The number M of Monte Carlo simulations is 10.

[0107]Among them, the average estimation error E(k) and the mean square error D(k) are defined as the evaluation indicators of the algorithm performance, which are used to describe the difference between the estimated value of the state and the real value.

[0108]

[010...

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PUM

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Abstract

The invention discloses a target estimation method based on multi-source information fusion, and the method comprises the steps: respectively observing the same target at the same time through a plurality of aircrafts, and obtaining the sight angle information between each aircraft and the target, the position information of each aircraft relative to the target, and the speed information of each aircraft relative to the target in real time; and sharing the optimal estimation state of the target obtained by each aircraft, and calculating the state information of the target at the next moment through a linear distributed consistent robust filtering algorithm.

Description

technical field [0001] The invention relates to a target estimation method in the field of guidance and control, in particular to a target estimation method based on multi-source information fusion. Background technique [0002] In the process of aircraft guidance and control, obtaining the target position is an extremely important work stage. There are many methods and devices for capturing targets in the prior art, such as radar, laser seeker, infrared seeker, image recognition seeker, etc. , through these methods and equipment to obtain the position information of the target, and then provide the target basis for the guidance and control of the aircraft. Due to the high flight speed of the aircraft, it is necessary to obtain the position information of the target in real time and quickly, but if the target is moving, these targets capture The application effect of the method and equipment will be weakened, and the target position information obtained by the aircraft may h...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/207G06K9/62
CPCG06T7/207G06T2207/10016G06F18/251Y02T90/00
Inventor 李斌林德福江涛王圣朱雨翔彭林
Owner STATE GRID JIANGXI ELECTRIC POWER CO
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