CLC number: TN953
On-line Access: 2020-12-10
Received: 2019-12-04
Revision Accepted: 2020-02-09
Crosschecked: 2020-11-13
Cited: 0
Clicked: 5073
Citations: Bibtex RefMan EndNote GB/T7714
Dai Liu, Yong-bo Zhao, Zi-qiao Yuan, Jie-tao Li, Guo-ji Chen. Target tracking methods based on a signal-to-noise ratio model[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.1900679 @article{title="Target tracking methods based on a signal-to-noise ratio model", %0 Journal Article TY - JOUR
基于信噪比模型的目标跟踪算法1西安电子科技大学雷达信号处理国家重点实验室,中国西安市,710071 2西安电子工程研究所,中国西安市,710100 摘要:传统目标跟踪算法中测角误差和测距误差取经验值,量测噪声为常数。本文分析测角误差和测距误差的影响因素,发现它们都与目标信噪比相关。于是建立雷达信噪比模型,将信噪比信息应用到目标跟踪算法。结合先进的非线性滤波算法,提出利用信噪比的扩展卡尔曼滤波(SNR-EKF)算法和利用姿态角的不敏卡尔曼滤波(SNR-UKF)算法。SNR-EKF和SNR-UKF相比位置精度差距不大,但在计算耗时上SNR-EKF算法较优,速度精度上SNR-UKF占优。仿真结果表明,利用信噪比的目标跟踪算法相比传统的EKF、UKF算法目标跟踪性能得到很大提高,体现在跟踪精度显著提高,收敛速度显著加快。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
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