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A Radar Target Tracking Method Based on Adaptive Processing of Doppler Measurements

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

Active Publication Date: 2022-05-31
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 tracking system, the present invention considers how the tracking system can reasonably process Doppler information, and provides a method based on Radar Target Tracking Method Based on Adaptive Processing of Doppler Measurements

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  • A Radar Target Tracking Method Based on Adaptive Processing of Doppler Measurements
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  • A Radar Target Tracking Method Based on Adaptive Processing of Doppler Measurements

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[0168] In order to compare the tracking performance of the algorithm, we compare the complexity and tracking accuracy of the algorithm from the aspects of operation time and position estimation error mean square error RMSE.

[0169] 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), and the initial speed 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 angle 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 white Gaussian noise with a standard deviation of q=0.5m / s. The number of Monte Carlo loops for the entire simulation is 500.

[0170] Table 1 Simulation scene parameters

[0171]

[0172] In the above 7 scenarios, (1) the optimal linear unb...

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Abstract

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. The present invention is based on the position measurement filtering method of BLUE-KF and the selection of adaptive false information, and realizes the sequential filtering that can process Doppler measurement. Among them, the position measurement filtering method based on the BLUE-KF method realizes the unbiased estimation based on the conversion of the predicted value measurement; at the same time, the unbiased estimation of the pseudo state is obtained by using the converted pseudo measurement based on the predicted value. On this basis, based on the change rate of the difference between the pseudo-measurement error covariance and the pseudo-state estimation error covariance, the pseudo-measurement or pseudo-state estimation is adaptively selected for sequential filtering. Under the condition that the system can simultaneously obtain target position measurement and Doppler measurement, the invention realizes self-adaptive processing of target nonlinear measurement and effective tracking of target, and has high tracking precision.

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 value is generally obtained in the polar coordinate system. In this way, target tracking becomes a nonlinear estimation problem. In order to solve this problem, many studies have focused on nonlinear measurement tracking problems in mixed coordinate systems, including Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), ) and particle filter (Particle Filter, PF). Due to the Taylor series expansion approximation in the EKF, the deterministic sampling method of the insensitive Kalman filter, these methods have poor filtering effect and even divergence in the case of strong nonlinearity. Although the particle filter...

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Application Information

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Patent Type & Authority Patents(China)
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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