Radar target tracking method based on Doppler measurement adaptive processing

A radar target tracking and Doppler measurement technology is applied in the field of radar target tracking based on Doppler measurement adaptive processing, and can solve the problem that target position measurement and Doppler measurement cannot be obtained at the same time.

Active Publication Date: 2019-11-26
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0007] In view of the above-mentioned problems or deficiencies, in order to solve the target tracking problem that the target position measurement and Doppler measurement cannot be obtained simultaneously in the radar tracki

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  • Radar target tracking method based on Doppler measurement adaptive processing
  • Radar target tracking method based on Doppler measurement adaptive processing
  • Radar target tracking method based on Doppler measurement adaptive processing

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Embodiment Construction

[0172] In order to compare the tracking performance of the algorithm, we compare the complexity and tracking accuracy of the algorithm from the two aspects of operation time and position estimation error RMSE.

[0173] Consider the tracking simulation of the target moving in a straight line at a constant speed. The initial position coordinates of the target (x=2km, y=6km), the initial velocity is (v x =50m / s,v y =30m / s), the radar sampling period is 1s, and the measured values ​​of the target include radial distance, azimuth and radial velocity. Assuming that each measurement noise is Gaussian zero-mean white noise, its noise standard deviation is defined as shown in Table 1. The process noise is assumed to be Gaussian white noise with a standard deviation of q=0.5m / s. The number of Monte Carlo cycles for the entire simulation is 500.

[0174] Table 1 Simulation scene parameters

[0175]

[0176] In the above 7 scenarios, select (1) the best linear unbiased estimation ...

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Abstract

The invention, which belongs to the field of Doppler radar target tracking, particularly relates to a radar target tracking method based on Doppler measurement adaptive processing. According to the invention, sequential filtering of processing Doppler measurement is realized based on a BLUE-KF-based position measurement filtering method and selection of adaptive pseudo-information. With the BLUE-KF-based position measurement filtering method, unbiased estimation based on prediction value measurement conversion is realized. Meanwhile, with a prediction-value-based converted pseudo measurement,unbiased estimation of a pseudo state is obtained. Converted pseudo measurement or pseudo state estimation is selected adaptively to carry out sequential filtering according to a difference change rate of a pseudo measurement error covariance and a pseudo state estimation error covariance. Therefore, adaptive processing of the target nonlinear measurement and the effective tracking of the target are realized while the system can obtain target position measurement and Doppler measurement simultaneously; and the tracking accuracy is high.

Description

technical field [0001] The invention belongs to the field of Doppler radar target tracking, in particular to a radar target tracking method based on Doppler measurement adaptive processing. Background technique [0002] In radar target tracking, the state equation of the target is generally established in the Cartesian coordinate system, and the measured values ​​are generally obtained in the polar coordinate system. In this way, object tracking becomes a nonlinear estimation problem. In order to solve this problem, many studies have focused on the nonlinear measurement tracking problem in the mixed coordinate system, including Extended Kalman Filter (Extended Kalman Filter, EKF), Unscented Kalman Filter (Unscented Kalman Filter, UKF ) and particle filter (Particle Filter, PF). Due to the Taylor series expansion approximation in the EKF and the deterministic sampling method of the insensitive Kalman filter, these methods have poor filtering effects and even diverge when th...

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Application Information

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IPC IPC(8): G01S13/72G01S7/41
CPCG01S13/723G01S7/415Y02A90/10
Inventor 程婷彭瀚李茜檀倩倩苏洋
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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