NDLI: Strong tracking SCKF based on adaptive CS model for manoeuvring aircraft tracking

Content Provider	IET Digital Library
Author	Zhang, Haowei Xie, Junwei Ge, Jiaang Lu, Wenlong Liu, Bingzhen
Abstract	A novel tracking algorithm is proposed by the integration of the adaptive current statistical (CS) model and the modified strong tracking (ST) square-root cubature Kalman filter (SCKF) for the manoeuvring aircraft tracking problem. Firstly, the acceleration recursion equation and the acceleration mean input estimation are combined in order to realise the adaptive adjustment of the CS model. Then, the introduced position of the fading factor is relocated from the orthogonality principle and a new formula is put forward. Additionally, the strong manoeuver detection function is established to adjust the manoeuvring frequency of the CS model. The simulation results show that the proposed algorithm possesses better tracking accuracy than the multiple-fading-factor SCKF based on the CS model, the SCKF-ST filter based on the modified CS model and the interacting-multiple-model (IMM)-SCKF. Moreover, the proposed algorithm decreases the runtime by 40% compared with the IMM-SCKF.
Starting Page	742
Ending Page	749
Page Count	8
ISSN	17518784
Volume Number	12
e-ISSN	17518792
Issue Number	Issue 7, Jul (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/12/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0467
Journal	IET Radar, Sonar & Navigation
Publisher Date	2018-03-23
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acceleration Mean Input Estimation Acceleration Recursion Equation Adaptive Adjustment Adaptive CS Model Adaptive Current Statistical Model Filtering Method in Signal Processing IMM-SCKF Interacting-multiple-model-SCKF Kalman Filter Manoeuvring Aircraft Tracking Problem Manoeuvring Frequency Modified CS Model Modified Strong Tracking Square-root Cubature Kalman Filter Multiple-fading-factor SCKF Novel Tracking Algorithm SCKF-ST Filter Signal Processing Theory Statistics Strong Manoeuver Detection Function Strong Tracking SCKF Target Tracking Tracking Accuracy Tracking Filter
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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