Method and device for eliminating outliers in track measurement data and computer equipment

A technology for measuring data and outliers, which is applied to measuring devices, computer components, calculations, etc., and can solve problems such as poor effect of removing speckle-type outliers

Pending Publication Date: 2021-08-31
深圳华创电科技术有限公司 +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a method, device, and computer equipment for removing outliers in track measurement data, which can solve the problem in the prior art that the effect of using kalman filtering to remove spot-type outliers is not good

Method used

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  • Method and device for eliminating outliers in track measurement data and computer equipment
  • Method and device for eliminating outliers in track measurement data and computer equipment
  • Method and device for eliminating outliers in track measurement data and computer equipment

Examples

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Embodiment 1

[0090] For the correction and elimination method based on outlier classification, the real data experiment is carried out by sampling the real track within 50s, and adding spot-type outliers and isolated outliers in 11s and 48s respectively to form the original track distribution figure 1 . Then the dot trace curve after outlier identification is obtained through algorithm simulation figure 2 And apply Spline to correct the supplementary points and filter the target curve image 3 .

[0091] Through the verification of the real track point data, it is found that the traditional kalman filter identification method and the method in this paper have the same effect after eliminating the isolated outliers, and the outlier points are effectively eliminated. For the speckle-type outliers, the Spline correction supplementary point elimination method is applied after the kalman filter identification. Compared with the traditional kalman filter identification and elimination method,...

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PUM

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Abstract

The invention discloses a method for eliminating outliers in track measurement data. The method comprises the following steps: acquiring the track measurement data; adopting a kalman filtering innovation chi-square test method to identify outliers in the track measurement data; wherein the outliers comprise spot type outliers; and for more than a set number of spot-type outliers, adopting a cubic spline interpolation Spline algorithm and combining a kalman filtering algorithm to remove the spot-type outliers. On the basis of adopting an innovation chi-square test, outlier kalman identification effect analysis is given, and different outlier elimination schemes are given according to different classifications of isolated outliers and spot outliers; isolated outlier elimination needs to be realized by correcting a gain matrix K (k); and the spot type outliers are eliminated by adopting a Spline point supplement mode after kalman filtering identification. Error characteristics of outliers of isolated points and outliers of spots are obtained from divergence reasons of Kalman filtering, and a method for identifying the outliers is given, so that a relatively accurate quantitative definition is provided, and a scientific elimination method is established.

Description

technical field [0001] The invention relates to the technical field of outlier elimination, in particular to a method, device and computer equipment for eliminating outliers in track measurement data based on Spline supplementary points after kalman filter identification. Background technique [0002] For the target measurement that has been detected by radar or received by the sensor in the monitoring airspace, certain methods will be used to filter out target measurement noise, clutter and other interference during the data signal receiving and processing stage, but it is difficult to completely eliminate the interference caused by noise, virtual Due to the influence of interference factors such as police and decoys, there are still certain false information in the measurement data. This situation increases the computing burden and storage space load, reduces the target tracking accuracy, and it is difficult to guarantee the real-time processing effect of the system. There...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F17/18G01S13/58
CPCG06F17/18G01S13/58G06F18/2433
Inventor 甘艺王琨
Owner 深圳华创电科技术有限公司
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