| || Target acceleration estimation from radar position data using neural network
Author : Sarkar, A. K.;Vathsal, S.;Sundaram, Suresh;Mukhopadhay, S.
Source : Defence Science Journal ; Vol:55(3) ; 2005 ; pp 313-328
Subject : 629.7 Aeronautics;629.76 Rockets and Missiles ;629.762 Missiles
Keywords : Kalman filter;Artificial neural network;Line of sight ;Feedforward neural network;Target acceleration estimation;Augmented proportional navigation Kalman filter
Abstract : This work is a preliminary investigation on target manoeuvre estimation in real-time from the available measurements of noisy position data from tracking radar using an artificial neural network (ANN. Recently, simulation study of target manoeuvre estimation in real-time from the same position alone measurement using extended Kalman filter has been carried out in a simulated environment using measurements at 100 ms interval. The results reveal that the estimated acceleration consists of substantial error and lag, which is a stumbling block for guidance accuracy in real-time. So, the target acceleration has been estimated using the ANN with less error and lag than the same using Kalman estimator.