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A Doppler Radar Target Tracking Method Based on Prediction Measurement Conversion

A Doppler radar and target tracking technology, which is applied in the calculation field of statistical characteristics, can solve the problems of combining the two parts, and achieve the effect of improving tracking accuracy and a certain amount of calculation

Inactive Publication Date: 2019-04-05
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Application Information

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Problems solved by technology

However, the above methods are only optimized in their respective parts, without combining the two parts

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  • A Doppler Radar Target Tracking Method Based on Prediction Measurement Conversion
  • A Doppler Radar Target Tracking Method Based on Prediction Measurement Conversion
  • A Doppler Radar Target Tracking Method Based on Prediction Measurement Conversion

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Embodiment Construction

[0036] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation methods and accompanying drawings.

[0037] Based on the tracking method of the present invention, the general motion trajectory can be tracked and simulated, by combining the tracking accuracy RMSE and running time of the present invention with the existing typical sequential filtering algorithm based on the measured value and available Doppler information ( Sequence of measurement values) is compared with the conversion measurement Kalman filter algorithm (DUCMKF) based on predicted values ​​that cannot use Doppler information, such as Figure 1~4 shown, where Figure 1~4 Corresponding to four different scenarios respectively, it shows that the present invention can effectively improve the tracking accuracy under the premise of keeping the amount of computation basically...

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Abstract

The invention discloses a Doppler radar target tracking method based on prediction value measurement conversion. The present invention first solves the mean value and covariance of the conversion measurement error of the position prediction value; then applies the covariance matrix of the conversion measurement error based on the position prediction value under the Cartesian coordinate system to the standard Kalman filter algorithm to obtain Based on the measurement conversion Kalman filter algorithm of the predicted position, the target position is estimated by this algorithm, and the estimated position of the target is obtained. Finally, using the Doppler information and the estimated position of the target, the second-order EKF transform is used to perform recursive sequential Kalman filtering to complete the target tracking. The invention is used for radar target tracking, can utilize Doppler information to improve tracking accuracy, and has a certain calculation amount.

Description

technical field [0001] The invention belongs to the field of radar target tracking, in particular to a method for calculating the statistical characteristics of measurement conversion errors using Doppler radar. Background technique [0002] At present, in the target tracking system, the state equation of the target is generally established in the Cartesian coordinate system, and the measured values ​​are generally obtained in the polar (spherical) coordinate system. In this way, object tracking becomes a nonlinear estimation problem. A common method to solve this problem is the conversion measurement Kalman filter (CMKF) algorithm, which uses the conversion measurement method to express the measurement transformation in polar coordinates into the measurement in the rectangular coordinate system, so that target tracking becomes a Linear Estimation Problem. However, the traditional measurement conversion method will produce deviations when converting the measurement. How t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/72
CPCG01S13/723
Inventor 程婷张宇轩李姝怡张洁
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA