Classification and launch-impact point prediction of ballistic target via Multiple Model Maximum Likelihood Estimator (MM-MLE)

被引:7
作者
Farina, A. [1 ]
Timmoneri, L. [1 ]
Vigilante, D. [1 ]
机构
[1] SELEX SI, Via Tiburtina Km 12-400, I-00131 Rome, Italy
来源
2006 IEEE RADAR CONFERENCE, VOLS 1 AND 2 | 2006年
关键词
D O I
10.1109/RADAR.2006.1631895
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The paper deals with the problems of (i) launch and impact point prediction (LPP, IPP) of Ballistic Targets (BT) and (ii) BT classification by processing measurements acquired either by 3D surveillance or multifunctional phased-array radars. It is assumed that the radar acquires a limited number of measurements (plots) that do not encompass the whole target trajectory; thus the established target track has to be extrapolated ahead in time in order to predict the coordinates of the impact point. A procedure based on Multiple Model Maximum Likelihood Estimator (MM-MLE) has been conceived and tested using a Monte Carlo simulation approach; the parameters selected for testing are the probability of BT correct classification (Pcc), the IPP and the LPP. The new procedure is compared with the estimator described in [4].
引用
收藏
页码:802 / +
页数:2
相关论文
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