Nagarjuna Rao D.

Tracking a ballistic target in its reentry mode by considering the radar measurements is a highly complex problem in nonlinear filtering. Kalman Filter (KF) is used to estimate the position of target when the measurements are corrupted with noise. If the measurements are nonlinear (radar measurements) then Extended Kalman filter (EKF) is used. For obtaining reliable estimate of the target state, filter has to be tuned before the operation which is offline. Tuning an EKF is the process of… Show more

Tracking a ballistic target in its reentry mode by considering the radar measurements is a highly complex problem in nonlinear filtering. Kalman Filter (KF) is used to estimate the position of target when the measurements are corrupted with noise. If the measurements are nonlinear (radar measurements) then Extended Kalman filter (EKF) is used. For obtaining reliable estimate of the target state, filter has to be tuned before the operation which is offline. Tuning an EKF is the process of estimating the process noise covariance matrix (Q) and measurement noise covariance matrix (R). This publication presents a new method of tuning the EKF using different evolutionary algorithms. Show less

● The position of the target when the measurements (range and bearing) are nonlinear and are corrupted with noise can also be estimated using Unscented Kalman filter (UKF) which gives much better results compared to EKF. For obtaining reliable estimate of the target state, this filter also has to be tuned before the operation, which is offline. This paper presents tuning of UKF using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for ballistic target tracking. Simulations results… Show more

● The position of the target when the measurements (range and bearing) are nonlinear and are corrupted with noise can also be estimated using Unscented Kalman filter (UKF) which gives much better results compared to EKF. For obtaining reliable estimate of the target state, this filter also has to be tuned before the operation, which is offline. This paper presents tuning of UKF using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for ballistic target tracking. Simulations results show that the superiority of PSO tuned UKF over conventional UKF.

● Individually presented the above paper on October 7, 2010 at Ramanathapuram, Tamil Nadu, India Show less