Title :
Trajectory estimation of a moving charged particle: An application of least square estimation (LSE) approach
Author :
Gehlot, S.K. ; Singh, Rajdeep
Author_Institution :
ECE Dept., Noida Inst. of Eng. & Technol., Noida, India
Abstract :
Classical Coulomb´s law relates electric field intensity at a point to its distance from the origin. An algorithm based on this law to determine the trajectory of a moving charged particle using least square estimation approach is described. The method provides sustainable estimation at moderate signal to noise ratio. The algorithm serves as a justification for the effectiveness of the LSE over other estimation techniques. Numerical simulations are provided to demonstrate the validity of algorithm and its various aspects.
Keywords :
electric fields; estimation theory; least squares approximations; Coulombs law; LSE; electric field intensity; least square estimation approach; moving charged particle; signal to noise ratio; trajectory estimation; Equations; Least squares approximations; Mathematical model; Maximum likelihood estimation; Signal to noise ratio; Trajectory; Columb´s law; charged particle; least square estimation; trajectory estimation;
Conference_Titel :
Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on
Conference_Location :
Greater Noida
Print_ISBN :
978-1-4799-5096-6
DOI :
10.1109/MedCom.2014.7006015
