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Target motion model estimation method based on cross test

A motion model and cross-validation technology, which is applied in the field of target motion model estimation based on cross-validation, can solve the problem of increasing the number of target motion model estimates, achieve ideal model estimation results, reduce computational complexity, and be easy to implement in engineering

Active Publication Date: 2020-09-22
STRATEGIC EARLY WARNING RES INST OF THE PEOPLES LIBERATION ARMY AIR FORCE RES INST
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is how to provide a method for estimating the target motion model based on cross-checking, so as to overcome the problems existing when using fitting polynomials to describe the target motion model Overfitting Phenomena and the Problem of Exponential Growth in the Number of Air Target Motion Model Estimates in Multiple Dimensions

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  • Target motion model estimation method based on cross test
  • Target motion model estimation method based on cross test

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specific Embodiment 1

[0122] This embodiment specifically describes the method for estimating a target motion model based on cross-checking proposed by the present invention, and the method is applied in a sensor target tracking and data fusion system.

[0123] The estimation method includes the steps of:

[0124] Step 1: Collect the s continuous measurement point data (ρ i ,θ i , h i ,t i ) (means t i The target distance ρ measured by the radar at time i , orientation θ i and height h i , i=1,2,...s) into uniform rectangular coordinates {(X i ,Y i ,t i )|i=1,2,...,s}.

[0125] Step 1.1: In order to ensure the immediacy of target motion model estimation, the value of s in this example is 7 according to the radar measurement cycle. Because it is two-coordinate radar measurement data, h i The average value is 0. θ i The value range is [0,360), and the unit is degree. The north direction of the radar is 0 degrees, and the east direction is 90 degrees. The calculation process needs to be ...

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Abstract

The invention relates to a target motion model estimation method based on cross check, belongs to the field of sensor target tracking and data fusion, overcomes an overfitting phenomenon existing whena target motion model is described by a fitting polynomial and solves a problem of exponential growth of the model estimation quantity under multiple dimensions. A method based on cross inspection isadopted, all possible motion models of a target under multiple dimensions are calculated according to the data of s-1 measurement points, and a cross test result of the characteristic values of the sth measurement point and the old measurement point are taken as a basis for determining the motion models of the target based on the data of the s measurement points, and thereby fewer and effective motion models of the target are screened out. The method is advantaged in that the target motion model estimation number under multiple dimensions determined by the method is greatly reduced, the over-fitting phenomenon is effectively avoided, and the target motion model estimation method which is simple, effective and easy to implement in engineering is provided for carrying out target tracking and data fusion work in the system.

Description

technical field [0001] The invention belongs to the field of sensor target tracking and data fusion, in particular to a method for estimating a target motion model based on cross-check. Background technique [0002] Estimating the motion model of air targets such as aircraft based on ground radar measurement data is a key link for various sensor data fusion and filtering algorithms to improve the accuracy of target state estimation and reduce computational complexity. It is also helpful for predicting target trends and identifying target attempts. The target motion model in one-dimensional space can be described as a function of the measured value relative to time. It can be a linear function, which means that the relationship between time and the measured value is a straight line, or it can be a quadratic or above quadratic curve function. Combined polynomial representation. The higher the degree of fitting polynomial, the smaller the fitting error of the existing measurem...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41G06F17/10
CPCG01S7/415G06F17/10Y02A90/10
Inventor 高效李美剑邢姗姗方维华刘冰陈超张新刚
Owner STRATEGIC EARLY WARNING RES INST OF THE PEOPLES LIBERATION ARMY AIR FORCE RES INST
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