Paper Info
Title
Image-based Position Estimation and Adaptive Modulation Coding in Vehicular Communication.
Abstract
Vehicle position estimation is a key technology for Inter-Vehicle Communications, while template matching can be used to get information of vehicular position. In the paper, a simplified template matching, namely area-based template match is considered. A vehicular communication system designed for wireless data application is proposed where a camera is fixed in a vehicle which is served as a base station. By means of comparison between the outline area of vehicular image and reference templates, the base station can obtain the position estimation of the vehicle. The reference templates can be pre-calculated from a group of field experiment data. Based on supervised learning, we develop an image-based vehicle position estimation method and evaluate its effect on an adaptive coding modulation scheme. The computer simulation results show that in the wireless fading channel with the OFDM physical model, compared with fixed modulation coding scheme, the studied adaptive modulation and coding (AMC) scheme taking account of the position estimation can gain greater throughput. © 2011 ACADEMY PUBLISHER.
Year
DOI
Venue
2011
10.4304/jnw.6.12.1754-1759
JNW
Keywords
Field
DocType
adaptive modulation and coding,inter-vehicle communications,ofdm,supervised learning,template matching
Template matching,Link adaptation,Base station,Computer science,Simulation,Communications system,Real-time computing,Coding (social sciences),Throughput,Orthogonal frequency-division multiplexing,Distributed computing,Adaptive coding
Journal
Volume
Issue
Citations 
6
12
2
PageRank 
References 
Authors
0.42
4
4
Name
Order
Citations
PageRank
Hao Yang1913.48
Qingmin Meng2165.69
Xiong Gu320.42
Baoyu Zheng4100882.73