Experimental comparison between centimeter- and millimeter-wave ultrawideband radio channels

Radio Science ◽  
2014 ◽  
Vol 49 (6) ◽  
pp. 450-458 ◽  
Author(s):  
Maria-Teresa Martinez-Ingles ◽  
Jose-Maria Molina-Garcia-Pardo ◽  
José-Víctor Rodríguez ◽  
Juan Pascual-García ◽  
Leandro Juan-Llácer
Keyword(s):  
Millimeter Wave ◽  
Experimental Comparison ◽  
Ultrawideband Radio ◽  
Radio Channels

Millimeter-Wave Radio Channels vs. Synthetic Beamwidth

2018 ◽  
Vol 56 (12) ◽  
pp. 53-59 ◽  
Author(s):  
Ruoyu Sun ◽  
Camillo A. Gentile ◽  
Jelena Senic ◽  
Peter Vouras ◽  
Peter B. Papazian ◽  
...  
Keyword(s):  
Millimeter Wave ◽  
Radio Channels ◽  
Wave Radio

Multipath Cluster Fading Statistics and Modeling in Millimeter-Wave Radio Channels

2019 ◽  
Vol 67 (4) ◽  
pp. 2622-2632 ◽  
Author(s):  
Naveed Iqbal ◽  
Jian Luo ◽  
Robert Muller ◽  
Gerhard Steinbock ◽  
Christian Schneider ◽  
...  
Keyword(s):  
Millimeter Wave ◽  
Radio Channels ◽  
Wave Radio ◽  
Fading Statistics

scholarly journals Spatial Stationarity of Ultrawideband and Millimeter Wave Radio Channels

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Yi Tan ◽  
Jesper Ødum Nielsen ◽  
Gert Frølund Pedersen
Keyword(s):  
Millimeter Wave ◽  
Wide Sense ◽  
Channel Measurements ◽  
Broad Bandwidth ◽  
Limited Bandwidth ◽  
Radio Channels ◽  
Wave Radio ◽  
Channel Parameter ◽  
Calculation Results ◽  
Inappropriate Choice

For radio channels with broad bandwidth resource, such as those often used for ultrawideband (UWB) and millimeter wave (mmwave) systems, the Wide-Sense Stationary Uncorrelated Scattering (WSSUS) and spatial stationary assumptions are more critical than typical cellular channels with very limited bandwidth resource. This paper studies spatial stationarity and bandwidth dependency of the Multipath Component (MPC) parameters, and the concept of local region of stationarity (LRS) is used as the measure of the physical stationarity region. LRS calculation results based on channel measurements show that the size of LRS is bandwidth dependent in all measured bands, 2–4 GHz, 14–16 GHz, and 28–30 GHz. The results in this paper point out that an inappropriate choice of bandwidth in channel parameter estimation could violate spatial stationary assumptions. The paper indicates LRS sizes for different bandwidths in the three bands.

scholarly journals Research on a Simulation Method of the Millimeter Wave Radar Virtual Test Environment for Intelligent Driving

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1929 ◽  
Author(s):  
Xin Li ◽  
Xiaowen Tao ◽  
Bing Zhu ◽  
Weiwen Deng
Keyword(s):  
Millimeter Wave ◽  
Simulation Method ◽  
Experimental Comparison ◽  
Intelligent Vehicle ◽  
Distribution Characteristics ◽  
Test Environment ◽  
Millimeter Wave Radar ◽  
Model And Simulation ◽  
Wave Radar ◽  
Comparison Results

This study addresses the virtual testing of intelligent driving, examines the key problems in modeling and simulating millimeter wave radar environmental clutter, and proposes a modeling and simulation method for the environmental clutter of millimeter wave radar in intelligent driving. First, based on the attributes of intelligent vehicle millimeter wave radar, the classification characteristics of the traffic environment of an intelligent vehicle and the generation mechanism of radar environmental clutter are analyzed. Next, the statistical distribution characteristics of the clutter amplitude, the distribution characteristics of the power spectrum, and the electromagnetic dielectric characteristics are analyzed. The simulation method of radar clutter under environmental conditions such as road surface, rainfall, snowfall, and fog are deduced and designed. Finally, experimental comparison results are utilized to validate the model and simulation method.

scholarly journals Investigating Validity of Wide-Sense Stationary Assumption in Millimeter Wave Radio Channels

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 180073-180082 ◽  
Author(s):  
Naveed Iqbal ◽  
Jian Luo ◽  
Christian Schneider ◽  
Diego Andres Dupleich ◽  
Robert Muller ◽  
...  
Keyword(s):  
Millimeter Wave ◽  
Wide Sense ◽  
Radio Channels ◽  
Wave Radio
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