利用STDCC雷达实时检测树叶中隐藏目标的可行性研究

2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) Pub Date : 2022-07-20 DOI:10.1109/CSNDSP54353.2022.9908045

Luís Duarte, M. Vala, Carlos Ribeiro, L. N. Alves, C. Fernandes, R. Caldeirinha

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引用次数: 0

摘要

本文报道了基于扫描时延交叉相关器(STDCC)的雷达探测树叶中隐藏目标性能的初步结果。实时STDCC雷达工作频率为25 GHz，带宽为500 MHz，检测能力与VNA技术一起进行基准测试，中心频率为11 GHz，带宽为18 GHz。进行了一组测量来评估由多棵树引起的衰减，并将其与文献模型估计进行比较。这两种雷达技术都可以准确地探测到隐藏的角落反射器的位置，显示出它们随着时间的推移具有很大的稳定性。通过对两种技术在不同带宽和相同带宽下的比较，确定了目标距离精度与所使用的带宽有关。我们的分析还证实了单树衰减的预期值为20 dB，表明两种雷达系统的探测/衰减相似。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A feasibility study on real-time concealed object detection in foliage using STDCC radar

This paper reports on the first results of a Swept Time-Delay Cross Correlator (STDCC) based radar performance for the detection of concealed objects in a foliage. The real-time STDCC radar operating at 25 GHz with 500 MHz bandwidth detection capabilities is benchmarked together with a VNA technique using a central frequency of 11 GHz with 18 GHz bandwidth. A set of measurements were performed to assess the attenuation caused by multiple trees and compare them with literature model estimations. Both radar techniques may accurately detect the position of a concealed corner reflector, showing their great stability over time. The object distance accuracy was confirmed to be related with the used bandwidth, having both technologies been compared with different and same bandwidths. Our analysis also confirmed the expected 20 dB of single tree attenuation, showing similar detections/attenuations with both radar systems.

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来源期刊

2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)

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