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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Filtering of moving targets using SBIR sequential frames
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Filtering of moving targets using SBIR sequential frames

机译：使用SBIR顺序帧过滤运动目标

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In this paper three-dimensional (3-D) finite-impulse response (FIR) filters are proposed for moving target detection and tracking from multiframe space-based infrared (SBIR) data. An optimal, in the lp sense, 3-D FIR filter design technique is proposed which is suitable for the above application. This technique is the first 3-D FIR design of its kind presented in the open literature. Directional, matched, and adaptive 3-D filtering techniques are proposed. Prior to the filtering, clutter mean estimation and mean subtraction are required. Real time implementation of directional and/or matched filters for processing maneuvering targets is discussed and filter design methods are proposed. Finally, performance comparisons of the proposed and other available 3-D FIR and infinite-impulse response (IIR) filters, on real SBIR data, are presented in which the advantages of the proposed 3-D filters are shown
机译：本文提出了三维（3-D）有限冲激响应（FIR）滤波器，用于从多帧空基红外（SBIR）数据进行运动目标检测和跟踪。在lp方面，提出了一种最佳的3-D FIR滤波器设计技术，该技术适用于上述应用。该技术是公开文献中提出的同类中的第一个3-D FIR设计。提出了定向，匹配和自适应3-D滤波技术。在滤波之前，需要进行杂波均值估计和均值减法。讨论了用于处理机动目标的定向和/或匹配滤波器的实时实现，并提出了滤波器设计方法。最后，在实际的SBIR数据上，对建议的和其他可用的3-D FIR和无限脉冲响应（IIR）滤波器的性能进行了比较，其中显示了建议的3-D滤波器的优点

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