- 期刊
- OpenAccess
Maneuvering Target Tracking Based on Adaptive Variational Bayesian Cubature Kalman Filtering
摘要
Aiming at the tracking performance of cubature Kalman filter in maneuvering target tracking will decline with the change of observation noise parameter, an adaptive variational Bayesian cubature Kalman filtering algorithm suitable for maneuvering target tracking is proposed. In every update step of this algorithm, the varying statistical measurement noise and system state are set as random variables, and the variational Bayesian method is adopted for estimation. After noise variance is obtained in iterative approximation, system state will be updated with the cubature Kalman filter. According to the simulation experiment results, proves that the varying observation noise variance can be estimated well with improved cubature Kalman filtering algorithm during maneuvering target tracking, thus the precision and real-time property of maneuvering target tracking are improved.
延伸閱讀
- Chen, Y. T. (2011). Tumor Detection Based on Bayesian Level Set Method and Improved Marching Cubes Algorithm. 影像處理暨通訊期刊, 3(1), 31-35. https://doi.org/10.30172/JIPC.201112.0006
- Lee, C. Y. (2010). Multistage Bayesian Game based Spectrum Trading for Cognitive Radio Networks [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2010.00034
- Zhang, L. (2022). A Survey of Target Tracking Algorithms based on Correlation Filtering. International Core Journal of Engineering, 8(4), 566-576. https://doi.org/10.6919/ICJE.202204_8(4).0068
- Liu, Y. F., Suo, J., Karimi, H. R., & Liu, X. M. (2014). A Filtering Algorithm for Maneuvering Target Tracking Based on Smoothing Spline Fitting. Abstract and Applied Analysis, 2014(), 324-329. https://doi.org/10.1155/2014/127643
- Tian, J., Liu, Y., Wu, Y., Lu, Y., & He, Z. (2021). GPS/INS Fusion Algorithm Based on Variational Bayesian Adaptive Kalman Filter. International Core Journal of Engineering, 7(2), 26-32. https://doi.org/10.6919/ICJE.202102_7(2).0005