Application Analisys of Nonlinear Filter Techniques in Ballistic Target Tracking

Please enable javascript in your browser.

Amirsoleimani, Shervin | 2012

786 Viewed

Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 43592 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s): Bastani, Mohammad Hasan; Behnia, Fereidoon
Abstract:
The study of nonlinear systems estimation techniques is necessary due to radar measurement equations which commonly contain range and angle, nonlinearly related to motion state variables.Hence in this thesis we make a through study of various nonlinear estimation techniques and important dynamic modelsfor airborne maneuvering and ballistic targets. Then we represent a novel method based on nonlinear vector transformation which tries to improve common nonlinear estimation techniques.Two Algorithms, DBF and MBF, baesd on data fusion is proposed to fuse a model data and also various models abilities in a separate chapter.Finally several estimator filters are simulated and analysed for two generated senarios, maneuvering aircraft and medium range ballistic missile, and MSE for all track time and for maneuvering phase and a relative process time is calculated for each of the models and nonlinear techniques.
Keywords:
Nonlinear Systems ; Data Aggregation ; Kalman Filters ; Nonlinear Filters ; Estimator Filters ; Maneuvering Aircraft Model ; Ballistic Missile Dynamic Model ; Satellite Orbit Dynamic Model

No TOC