文章基本信息

标题：Target Acceleration Estimation from Radar Position Data using Neural Network
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作者：A.K. Sarkar ; S. Vathsal ; Suresh Sundaram 等
期刊名称：Defence Science Journal
印刷版ISSN：0976-464X
出版年度：2005
卷号：55
期号：3
页码：313-328
DOI：10.14429/dsj.55.1995
语种：English
出版社：Defence Scientific Information & Documentation Centre
摘要：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.
关键词：Kalman filter, artificial neural network, line-of-sight, feedforward neural network, target acceleration estimation, augmented proportional navigation