Výsledky vyhledávání - "low elevation angle"

Akademický článek

A Bidirectional Quasi-Endfire Patch Antenna with Low Elevation Angle

Autor: Ziling Zhou, Jin Shi, Gu Liu, Kai Xu, Ruirui Jiang

Publikováno v: Micromachines, Vol 15, Iss 6, p 777 (2024)

A bidirectional quasi-endfire patch antenna with a low elevation angle has promising applications for wireless communication systems that are vehicle-based, airborne, and shipborne. In this paper, the shortened patch resonators and open patch resonat

Externí odkaz: https://doaj.org/article/e6ff8178801746c5bcdac77b20e5ee11

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Akademický článek

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Akademický článek

Estimation of the Two-Dimensional Direction of Arrival for Low-Elevation and Non-Low-Elevation Targets Based on Dilated Convolutional Networks

Autor: Guoping Hu, Fangzheng Zhao, Bingqi Liu

Publikováno v: Remote Sensing, Vol 15, Iss 12, p 3117 (2023)

This paper addresses the problem of the two-dimensional direction-of-arrival (2D DOA) estimation of low-elevation or non-low-elevation targets using L-shaped uniform and sparse arrays by analyzing the signal models’ features and their mapping to 2D

Externí odkaz: https://doaj.org/article/5c23f8e6a9ca44b6a9c8f43b9a98ef7b

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Akademický článek

Beam Split Algorithm for Height Measurement With Meter-Wave MIMO Radar

Autor: Chen Chen, Jianfeng Tao, Guimei Zheng, Yuwei Song

Publikováno v: IEEE Access, Vol 9, Pp 5000-5010 (2021)

In order to improve the feasibility of low-elevation height measurement for meter-wave multiple-input multiple-output (MIMO) radar, a virtual sub-array-level beam splitting low-elevation height measurement algorithm is proposed. The algorithm can sol

Externí odkaz: https://doaj.org/article/5f6ebce14dc54efbb6e56f8ef84bf642

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Akademický článek

CAE-CNN-Based DOA Estimation Method for Low-Elevation-Angle Target

Autor: Fangzheng Zhao, Guoping Hu, Hao Zhou, Chenghong Zhan

Publikováno v: Remote Sensing, Vol 15, Iss 1, p 185 (2022)

For the DOA (direction of arrival) estimation of a low-elevation-angle target under the influence of a multipath effect, this paper proposes a DOA estimation method based on CAE (convolutional autoencoder) and CNN (convolutional neural network). The

Externí odkaz: https://doaj.org/article/d8554f40570b471eb59d3b6ccffb8743

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Estimation of the Two-Dimensional Direction of Arrival for Low-Elevation and Non-Low-Elevation Targets Based on Dilated Convolutional Networks

Autor: Liu, Guoping Hu, Fangzheng Zhao, Bingqi

Publikováno v: Remote Sensing; Volume 15; Issue 12; Pages: 3117

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::c1e324ca4e65772755531963c3fb2ba0

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Akademický článek

Characteristics and Applications of the Ground-Based X Band Low Elevation Angle Brightness Temperatures under Low Sea State Based on Measured Data

Autor: Zhongqing Cao, Lixin Guo, Shifeng Kang, Xianhai Cheng, Qingliang Li, Leke Lin, Yusheng Zhang

Publikováno v: Remote Sensing, Vol 12, Iss 11, p 1736 (2020)

In ground-based microwave radiometer remote sensing, low-elevation-angle (−3°~3°) radiation data are often discarded because they are considered to be of little value and are often difficult to model due to the complicated mechanism. Based on the

Externí odkaz: https://doaj.org/article/e0fe2f89621d433789ca98644429d126

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