双基地条件下距离分辨率退化的补偿及其对分类的影响

Theresa Haumtratz, T. Bieker, S. Lindenmeier
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引用次数: 0

摘要

单基地雷达配置中的自动目标识别(ATR)是一个众所周知的问题,但双基地雷达配置中的ATR提出了一些额外的挑战。在本文中,我们讨论了距离分辨率的退化与增加双基地角和由此产生的雷达目标的明显缩短,并提出了一种可能性,以补偿这种缩短通过拉伸目标的距离像。此外,我们还展示了该方法的潜力,可以使用仅使用单静态数据训练的分类器对双站数据进行分类。
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Compensation of the range resolution degradation in a bistatic scenario and its influence on classification
Automatic Target Recognition (ATR) in a monostatic radar configuration is a well-known problem but ATR in a bistatic radar configuration presents some additional challenges. In this paper we discuss the degradation of the range resolution with increasing bistatic angle and the resulting apparent shortening of the radar target and present a possibility to compensate for this shortening by stretching the range profiles of the target. Furthermore we show the potential of that method to make the classification of bistatic data feasible with a classifier, which has been trained using monostatic data only.
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