The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam pengukuran dan pemodelan saluran radio, pengimbasan arah melalui antena berarah tinggi ialah kaedah yang paling popular untuk mendapatkan ciri saluran sudut untuk membangun dan menilai sistem wayarles lanjutan untuk kegunaan jalur frekuensi tinggi. Walau bagaimanapun, ia selalunya tidak mencukupi untuk pencirian aras sinar/kluster kerana resolusi sudut data yang diukur dihadkan oleh selang pensampelan sudut pada julat sudut imbasan tertentu dan lebar pancaran separuh kuasa antena. Kajian ini mencadangkan algoritma CLEAN subgrid, teknik baru untuk pengekstrakan komponen berbilang laluan (MPC) resolusi tinggi daripada imej kuasa berbilang dimensi, yang dipanggil spektrum kuasa kelewatan sudut dua arah. Teknik ini boleh berjaya mengekstrak MPC dengan menggunakan imej kuasa pelbagai dimensi. Simulasi dan pengukuran menunjukkan bahawa teknik yang dicadangkan boleh mengekstrak MPC untuk pencirian aras sinar/kluster dan pemodelan saluran. Selanjutnya, menggunakan kaedah yang dicadangkan pada data yang ditangkap pada 58.5GHz dalam persekitaran dewan pintu masuk atrium yang merupakan senario akses hotspot dalaman dalam sistem mudah alih generasi kelima, gugusan berbilang laluan dan proses serakan yang sepadan telah dikenal pasti.
Minseok KIM
Niigata University
Tatsuki IWATA
Niigata University
Shigenobu SASAKI
Niigata University
Jun-ichi TAKADA
Tokyo Institute of Technology
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Salinan
Minseok KIM, Tatsuki IWATA, Shigenobu SASAKI, Jun-ichi TAKADA, "Millimeter-Wave Radio Channel Characterization Using Multi-Dimensional Sub-Grid CLEAN Algorithm" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 7, pp. 767-779, July 2020, doi: 10.1587/transcom.2019EBP3055.
Abstract: In radio channel measurements and modeling, directional scanning via highly directive antennas is the most popular method to obtain angular channel characteristics to develop and evaluate advanced wireless systems for high frequency band use. However, it is often insufficient for ray-/cluster-level characterizations because the angular resolution of the measured data is limited by the angular sampling interval over a given scanning angle range and antenna half power beamwidth. This study proposes the sub-grid CLEAN algorithm, a novel technique for high-resolution multipath component (MPC) extraction from the multi-dimensional power image, so called double-directional angular delay power spectrum. This technique can successfully extract the MPCs by using the multi-dimensional power image. Simulation and measurements showed that the proposed technique could extract MPCs for ray-/cluster-level characterizations and channel modeling. Further, applying the proposed method to the data captured at 58.5GHz in an atrium entrance hall environment which is an indoor hotspot access scenario in the fifth generation mobile system, the multipath clusters and corresponding scattering processes were identified.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019EBP3055/_p
Salinan
@ARTICLE{e103-b_7_767,
author={Minseok KIM, Tatsuki IWATA, Shigenobu SASAKI, Jun-ichi TAKADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Millimeter-Wave Radio Channel Characterization Using Multi-Dimensional Sub-Grid CLEAN Algorithm},
year={2020},
volume={E103-B},
number={7},
pages={767-779},
abstract={In radio channel measurements and modeling, directional scanning via highly directive antennas is the most popular method to obtain angular channel characteristics to develop and evaluate advanced wireless systems for high frequency band use. However, it is often insufficient for ray-/cluster-level characterizations because the angular resolution of the measured data is limited by the angular sampling interval over a given scanning angle range and antenna half power beamwidth. This study proposes the sub-grid CLEAN algorithm, a novel technique for high-resolution multipath component (MPC) extraction from the multi-dimensional power image, so called double-directional angular delay power spectrum. This technique can successfully extract the MPCs by using the multi-dimensional power image. Simulation and measurements showed that the proposed technique could extract MPCs for ray-/cluster-level characterizations and channel modeling. Further, applying the proposed method to the data captured at 58.5GHz in an atrium entrance hall environment which is an indoor hotspot access scenario in the fifth generation mobile system, the multipath clusters and corresponding scattering processes were identified.},
keywords={},
doi={10.1587/transcom.2019EBP3055},
ISSN={1745-1345},
month={July},}
Salinan
TY - JOUR
TI - Millimeter-Wave Radio Channel Characterization Using Multi-Dimensional Sub-Grid CLEAN Algorithm
T2 - IEICE TRANSACTIONS on Communications
SP - 767
EP - 779
AU - Minseok KIM
AU - Tatsuki IWATA
AU - Shigenobu SASAKI
AU - Jun-ichi TAKADA
PY - 2020
DO - 10.1587/transcom.2019EBP3055
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2020
AB - In radio channel measurements and modeling, directional scanning via highly directive antennas is the most popular method to obtain angular channel characteristics to develop and evaluate advanced wireless systems for high frequency band use. However, it is often insufficient for ray-/cluster-level characterizations because the angular resolution of the measured data is limited by the angular sampling interval over a given scanning angle range and antenna half power beamwidth. This study proposes the sub-grid CLEAN algorithm, a novel technique for high-resolution multipath component (MPC) extraction from the multi-dimensional power image, so called double-directional angular delay power spectrum. This technique can successfully extract the MPCs by using the multi-dimensional power image. Simulation and measurements showed that the proposed technique could extract MPCs for ray-/cluster-level characterizations and channel modeling. Further, applying the proposed method to the data captured at 58.5GHz in an atrium entrance hall environment which is an indoor hotspot access scenario in the fifth generation mobile system, the multipath clusters and corresponding scattering processes were identified.
ER -