中圖分類號(hào)： TN953 文獻(xiàn)標(biāo)識(shí)碼： A DOI：10.16157/j.issn.0258-7998.223084 中文引用格式： 李盈萱,，王中訓(xùn),，董云龍. 基于改進(jìn)UKF的轉(zhuǎn)彎?rùn)C(jī)動(dòng)目標(biāo)跟蹤算法研究[J].電子技術(shù)應(yīng)用，2022,，48(9)：27-31. 英文引用格式： Li Yingxuan,，Wang Zhongxun,，Dong Yunlong. Research on turning maneuvering target tracking algorithm based on improved UKF[J]. Application of Electronic Technique，2022,，48(9)：27-31.
Research on turning maneuvering target tracking algorithm based on improved UKF
Li Yingxuan1,，Wang Zhongxun1，Dong Yunlong2
1.School of Physics and Electronic Information,，Yantai University,，Yantai 264005，China,； 2.Information Fusion Institute,，Naval Aviation University，Yantai 264001,，China
Abstract： This paper studies the accurate tracking problem under the condition of unknown or changing turning rate, an adaptive coordinated turning tracking algorithm based on UKF is proposed. The algorithm makes full use of the dimensionality extension technology and the adaptive fading factor technology, continuously estimates the turning rate in real time and adjusts the process noise and its corresponding gain based on the fading factor. At the same time, adaptively adjusts the sampling range of the unscented Kalman filter algorithm to make the sampling points closer to the real state of the target. Simulation results show that the algorithm achieves good tracking performance when the turning rate changes, and effectively improves the accuracy and stability of tracking maneuvering target.
Key words : maneuvering target tracking,；unscented Kalman filter；adaptive-turning model,；adaptive fading factor,；sampling range
