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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.


Target tracking methods based on SNR model

Author(s):  Dai Liu, Yong-bo Zhao, Zi-qiao Yuan, Jie-tao Li, Guo-ji Chen

Affiliation(s):  National Lab of Radar Signal Processing, Xidian University, Xi’ more

Corresponding email(s):   ybzhao@xidian.edu.cn

Key Words:  SNR model, Target tracking, The angle error, The range error, Non-linear filter

Dai Liu, Yong-bo Zhao, Zi-qiao Yuan, Jie-tao Li, Guo-ji Chen. Target tracking methods based on SNR model[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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author="Dai Liu, Yong-bo Zhao, Zi-qiao Yuan, Jie-tao Li, Guo-ji Chen",
journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

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%T Target tracking methods based on SNR model
%A Dai Liu
%A Yong-bo Zhao
%A Zi-qiao Yuan
%A Jie-tao Li
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%J Journal of Zhejiang University SCIENCE C
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1900679

T1 - Target tracking methods based on SNR model
A1 - Dai Liu
A1 - Yong-bo Zhao
A1 - Zi-qiao Yuan
A1 - Jie-tao Li
A1 - Guo-ji Chen
J0 - Journal of Zhejiang University Science C
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IS - -1
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%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1900679

In traditional target tracking methods, angle and range errors are often measured by empirical value, while observation noise is a fixed constant. Angle and range error are analyzed. They are influenced by the signal to noise ratio (SNR). Therefore, a model related to SNR has been established, in which the SNR information is applied for target tracking. Combined with an advanced non-linear filter method, the extended Kalman filter method based on the SNR model (SNR-EKF) and the Unscented Kalman filter method based on SNR model (SNR-UKF) are proposed. There is little difference between the SNR-EKF and SNR-UKF methods in position precision, but the SNR-EKF method has advantages over in computation time, and the SNR-UKF method has advantages in velocity precision. Simulation results show that target tracking methods based on the SNR model can greatly improve tracking performance compared with traditional tracking methods. The target tracking accuracy and the convergence speed of the proposed methods represent significant improvements.

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