Enhanced Discrimination Techniques for Radar-Based On-Metal Identification Tags.
Enhanced Discrimination Techniques for Radar-Based On-Metal Identification Tags.
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基于雷达的金属识别标签的增强辨别技术。
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发表时间：
2011
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通讯作者：
J. Vitaz
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作者：
J. Vitaz
基于金属识别标签的雷达增强识别技术Jacquelyn A.Vitaz主席：Kamal Sarbani在高度杂乱的环境中对金属目标进行对峙检测和跟踪通常会带来困难的工程挑战。这项工作引入了一种新的基于雷达的方法来克服这些限制。提出了一种新颖的平面反向反射阵列结构，与用作阅读器的低成本脉冲Ku波段雷达相结合，将有助于在高度杂乱的环境中对大型金属目标进行距离探测和跟踪。一般而言，改善这种反向反射结构的性能的传统方法涉及增加阵列的增益。在这项工作中，首先提出了一种无源Van Atta阵列，它利用接地共面波导(GCPW)结构实现的线性串联贴片天线阵列，从占地面积为10 cm×15 cm的反向反射标签获得0dBsm的RCS。调制被引入到该结构中以提供唯一的识别，并且与背景减去相结合，还在不需要额外增益的情况下显著提高了标签的可检测性。这项工作通过开发一种新的反向反射馈源结构来解决作为RCS增强技术结果的仰角平面内的窄视场问题。增长了300%
Enhanced Discrimination Techniques for Radar Based On-Metal Identification Tags by Jacquelyn A. Vitaz Chair: Kamal Sarabandi The standoff detection and tracking of metallic targets in highly cluttered environments often poses a difficult engineering challenge. This work introduces a new radarbased approach to overcome these limitations. Novel planar retro-reflective array architectures are presented that, in conjunction with a low-cost, pulsed, Ku-band radar used as the reader, will aide in the standoff detection and tracking of large metallic objects in a highly cluttered environment. In general, traditional methods to improve performance of such retro-reflective structures involve an increase in gain of the array. In this work, a passive Van Atta array is first presented that achieves 0dBsm of RCS from a retro-reflective tag with 10cm X 15cm footprint that makes use of linear series patch antenna arrays implemented in grounded coplanar waveguide (GCPW) architecture. Modulation is introduced into this structure to provide unique identification and, in conjunction with background subtraction, additionally yields a significant increase in the detectability of the tag without requiring additional gain. This work continues by addressing the narrow field of view in elevation plane that is the consequence of RCS enhancement techniques by developing a new retro-reflective feed architecture. A 300% increase in