The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 32-565
Full Name: Ravi kumar Jatoth
Position: Lecturer
Age: ON
Sex: Male
Address: Depart Of ECE, NITW
Country: INDIA
Tel: 9490853570
Tel prefix: +91
Fax: +91-870-2459547
E-mail address: ravikumar@nitw.ac.in
Other E-mails: jrk.nitw@gmail.com
Title of the Paper: Particle Swarm optimization Based Tuning of Extended Kalman Filter for Manoeuvring Target Tracking
Authors as they appear in the Paper: RAVI KUMAR JATOTH, DR.T. KISHORE KUMAR
Email addresses of all the authors: ravikumar@nitw.ac.in, kishoret@nitw.ac.in,
Number of paper pages: 10
Abstract: Kalman filter is a well known adaptive filtering Algorithm, widely used for target tracking applications. When the system model and measurements are non linear, variation of Kalman filter like extended Kalman filter (EKF) is used. For obtaining reliable estimate of the target state, filter has to be tuned before the operation (off line).Tuning an EKF is the process of estimation of the noise covariance matrices from process data. In practical applications, due to unavailable measurements of the process noise and high dimensionality of the problem tuning of the filter is left for engineering intuition. In this paper, tuning of the EKF is investigated using Particle Swarm Optimization (PSO). The simulation results show the superiority of the PSO tuned EKF over the conventional EKF.
Keywords: Adaptive Filter; Extended Kalman Filter; Noise Covariances; Tuning; Particle Swarm Optimisation, Manoeuvring target tracking
EXTENSION of the file: .pdf
Special (Invited) Session: 8th wseas international conference on Signal processing, Robotics, and Automation Cambridge U.K 609-364
Organizer of the Session: Prof Leon Trilling, MIT, USA
How Did you learn about congress: NIT, Warangal
IP ADDRESS: 203.129.195.140
