Research on Kernel Functions of SVM for Line-of-sight Identification in Vehicle-to-Vehicle MIMO System

被引：0

作者：

Huang, Chen ^{[1
,2
]}

Molisch, Andreas F. ^{[1
]}

Wang, Rui ^{[1
]}

Tang, Pan ^{[1
]}

He, Ruisi ^{[3
]}

Zhong, Zhangdui ^{[3
,4
]}

机构：

[1] Univ Southern Calif, Ming Hsieh Dept Elect & Comp Engn, Los Angeles, CA 90007 USA

[2] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China

[3] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China

[4] Beijing Jiaotong Univ, Beijing Engn Res Ctr High Speed Railway Broadband, Beijing 100044, Peoples R China

来源：

2019 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION AND USNC-URSI RADIO SCIENCE MEETING | 2019年

关键词：

NLOS identification; channel measurement; Rician-K-factor; channel modeling; support vector machines;

D O I：

10.1109/apusncursinrsm.2019.8888567

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Generally, propagation channels show significantly different characteristics for line-of-sight (LOS) and non-line-ofsight (NLOS) conditions. Due to their good performance in classification problems, support vector machines (SVM) have been widely used for NLOS identification of propagation channels. In this paper, we investigate the impact of different kernel functions on the accuracy of SVM-based NLOS identification and validate the performance based on measured channel data. We find that a Gaussian kernel reduces the mis-identification rate by a factor 4 compared to a linear kernel, and also outperforms polynomial and sigmoid kernels.

引用

页码：2107 / 2108

页数：2

共 50 条

[1] Line-of-sight and non-line-of-sight vehicle-to-vehicle communication using light fidelity
Nair, Nivedita
Kaur, Sanmukh
Sammal, Yatin Singh
Bahl, Gaurja
JOURNAL OF OPTICAL TECHNOLOGY, 2022, 89 (12) : 740 - 747
[2] Beyond-Line-of-Sight Identification by Using Vehicle-to-Vehicle Communication
Zhang, Linjun
Orosz, Gabor
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (06) : 1962 - 1972
[3] A Novel RF (XBee) and IR LoS (Line-of-Sight) Collaborative Vehicle-to-Vehicle Navigation Technique
Rhoades, Benjamin B.
Katariya, Vinit
Conrad, James M.
IEEE SOUTHEASTCON 2018, 2018,
[4] Verification of Fresnel Zone Clearance for Line-of-sight Determination in 5.9 GHz Vehicle-to-Vehicle Communications
Jhihoon Joo
Hong-Jong Jeong
Dong Seog Han
Wireless Personal Communications, 2018, 101 : 239 - 249
[5] Verification of Fresnel Zone Clearance for Line-of-sight Determination in 5.9 GHz Vehicle-to-Vehicle Communications
Joo, Jhihoon
Jeong, Hong-Jong
Han, Dong Seog
WIRELESS PERSONAL COMMUNICATIONS, 2018, 101 (01) : 239 - 249
[6] Line-of-Sight Obstruction Analysis for Vehicle-to-Vehicle Network Simulations in a Two-Lane Highway Scenario
Abbas, Taimoor
Tufvesson, Fredrik
INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION, 2013, 2013
[7] Design and Research of Intelligent Vehicle Strapdown Line-of-Sight Stabilization Platform System
Man, Yiming
Gong, Jianwei
Chen, Huiyan
Hu, Yuwen
Jiang, Yanhua
2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1 AND 2, 2009, : 1251 - 1254
[8] Capacity study of vehicle-to-roadside MIMO channels with a Line-of-Sight component
Matthaiou, Michail
Laurenson, David I.
Wang, Cheng-Xiang
WCNC 2008: IEEE WIRELESS COMMUNICATIONS & NETWORKING CONFERENCE, VOLS 1-7, 2008, : 775 - +
[9] Research on Vehicle-to-Vehicle MIMO Wireless Channels in Various Tunnels
Zhou, Jie
Wu, Sujie
Lv, Zhikang
Luo, Hong
Liu, Ting
Shao, Genfu
ENERGIES, 2022, 15 (14)
[10] Research of Vehicle-to-Vehicle 2×2 MIMO-VLC System Based on External Interference
Yin R.-R.
Shen X.-Y.
Sang J.
Qin H.
Zhai M.-F.
Jia K.-K.
Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2024, 52 (04): : 1269 - 1281

← 1 2 3 4 5 →