一种改进的超分辨目标检测和识别算法

M. Wicks, G. Capraro
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引用次数: 0

摘要

提出了一种对静止或慢速移动距离多普勒超分辨目标(或接近地面或海面)实现更好的探测、识别和自动识别(id)的技术。该技术基于数据分析的广义内积(GIP)方法。这种强大的检测器/鉴别器通过将目标回波从无数接收信号中分离出来的相干过程,将雷达回波从包括地杂波在内的干扰中分离出来。通过使用连贯的目标模板,将开发人工智能技术来自动识别目标,而无需人工干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel algorithm for improved detection and discrimination of over resolved targets
A technique is proposed to achieve significantly better detection, discrimination, and automatic identification (id) for stationary or slow-moving range-Doppler over-resolved targets on or in close proximity to the ground (or sea surface). This technique is based upon a generalized inner product (GIP) approach to data analysis. This robust detector/discriminator separates radar returns from interference including ground clutter via a coherent process for separating target returns from the myriad of received signals. Through the use of coherent target templates artificial intelligence techniques will be developed to automatically id targets without human intervention.
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