Traffic Flow Detection Using GNSS-R Signals

  • YANG Lei ,
  • YANG Dongkai ,
  • ZHU Yunlong ,
  • GAO Chaoqun
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  • 1. No. 95927 Troops of PLA, Cangzhou 061736, China;
    2. School of Electronic and Information Engineering, Beihang University, Beijing 100191, China

Received date: 2016-10-11

  Revised date: 2017-12-18

  Online published: 2018-03-29

Supported by

The Fund of the Beihang Jinhua BeiDou Application Research Institute Under Grant (No. BARI1706)

Abstract

In order to detect traffic conditions effectively, a new method of traffic flow detection using GNSS-R (Global Navigation Satellite System-Reflected) signals is proposed. In this method, the direct signals and reflected signals of GNSS are received by two types of antennas respectively and collected by an universal receiver.After signal processing in a SDR(Software Defined Receiver), the correlated power of direct channel and reflected channel, and also the satellites' elevation angles can be obtained. Then vehicles can be detected by the method of dielectric constant retrieving.Test results show that vehicles in the area can be detected effectively using this method, and prove the feasibility of traffic flow detection using GNSS-R signals.

Cite this article

YANG Lei , YANG Dongkai , ZHU Yunlong , GAO Chaoqun . Traffic Flow Detection Using GNSS-R Signals[J]. Acta Geodaetica et Cartographica Sinica, 2018 , 47(3) : 370 -375 . DOI: 10.11947/j.AGCS.2018.20160496

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