Tracking short-range ballistic targets

Acar, Recep Serdar
The trajectories of ballistic targets are determined significantly by the characteristics that are specific to them. In this thesis, these characteristics are presented and a set of algorithms in order to track short-range ballistic targets are given. Firstly, motion and measurement models for the ballistic targets are formed and then four different filtering techniques are built on these models which are the extended Kalman filter, the unscented Kalman filter, the particle filter and the marginalized particle filter. The performances of these filters are evaluated by making Monte Carlo simulation. The simulations are run using target scenarios obtained according to six degrees-of-freedom trajectory for ballistic targets. Apart from the tracking errors of the filters, drag parameter estimations and the effect of drift calculation on the filter performances are investigated. The estimation results obtained by each filter are discussed in detail by making various simulations.


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The aim of this thesis is to scrutinize the effects of challenging target maneuvers and distinctive random seeker noise on guidance performance. The guidance problem is formulated as a feedback control system and a homing loop is modeled via Matlab-Simulink software to simulate possible 3D engagement scenarios. In order to track maneuverable targets and derive the rates of LOS angles in azimuth and elevation planes, a couple of seeker models are presented. Moreover, blind flight phenomenon is investigated f...
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Bilgin, Ozan Özgün; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2012)
Short range thrusting projectiles are one of the various threats against armored vehicles and helicopters on the battlefield. Developing a countermeasure for this kind of projectiles is very crucial since they are vast in number and easy to operate on the battlefield. A countermeasure may consist of fire point prediction of the projectile and attack the launcher of it, or it may be the impact point prediction of the projectile and apply a hard-kill counter measure on its way to the ally target. For both of ...
Multi-target particle filter based track before detect algorithms for spawning targets /
Eyili, Mehmet; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2014)
In this work, a Track Before Detect (TBD) approach is proposed for tracking and detection of the spawning targets on the basis of raw radar measurements. The principle of this approach is mainly constructed by multi-model particle filter method. In contrast to the related works in the literature, a novel reduced order dynamic model is introduced and the information about bearing angle derived from the radar measurements is not used in this model to improve the efficiency of the particle filter. Moreover, a ...
Learning drag coefficient of ballistic targets using gaussian process modeling
Kumru, Fırat; Özkan, Emre; Department of Electrical and Electronics Engineering (2019)
Ballistic object tracking involves estimating an unknown ballistic coefficient which directly affects the dynamics of the object. In most studies, the ballistic coefficient is assumed to be constant throughout the object’s flight. In reality, the ballistic coefficient is a function of the speed of the object and depends on the object’s aerodynamic properties. In the literature, the impact point prediction is defined as predicting the position that the object is expected to hit on the ground while the object...
Increasing air defense capability by optimizing burst distance
Türkuzan, Mehmet; Kocaoğlan, Erol; Department of Electrical and Electronics Engineering (2010)
In this thesis, burst distance is optimized to increase air defense capability for systems utilizing airburst munitions. A simulator program is created to use during the study by taking advantage of the MATLAB environment. While creating the simulator program, a munition path model is derived by using fourth order Runge-Kutta method. Then, simulations are conducted at different burst distances and related information are recorded. By using least square optimization method and gathered data, optimum burst di...
Citation Formats
R. S. Acar, “Tracking short-range ballistic targets,” M.S. - Master of Science, Middle East Technical University, 2011.