Sarkar, AK and Vathsal, S and Sundaram, Suresh and Mukhopadhay, S (2005) Target Acceleration Estimation from Radar Position Data using Neural Network. In: Defence Science Journal, 55 (3). pp. 313-328.
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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.
Item Type: | Journal Article |
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Publication: | Defence Science Journal |
Publisher: | Defence Scientific Information Documentation Centre |
Additional Information: | Copyright of this article belongs to Defence Scientific Information Documentation Centre. |
Keywords: | Kalman filter;artificial neural network;line-of-sight;feedforward neural network;target acceleration estimation;augmented proportional navigation |
Department/Centre: | Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering) |
Date Deposited: | 10 Feb 2010 11:45 |
Last Modified: | 19 Sep 2010 04:56 |
URI: | http://eprints.iisc.ac.in/id/eprint/17401 |
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