Next Article in Journal
Moving from Space-Based to Ground-Based Solutions in Remote Sensing for Archaeological Heritage: A Case Study from Egypt
Next Article in Special Issue
Automated Sensing of Wave Inundation across a Rocky Shore Platform Using a Low-Cost Camera System
Previous Article in Journal
Detecting Forest Disturbance in Northeast China from GLASS LAI Time Series Data Using a Dynamic Model
Previous Article in Special Issue
Wave Height Estimation from First-Order Backscatter of a Dual-Frequency High Frequency Radar
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Remote Sens. 2017, 9(12), 1302; doi:10.3390/rs9121302

S-Band Doppler Wave Radar System

1
School of Electronic Information and the Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430072, China
2
School of Electronic Information, Wuhan University, Wuhan 430072, China
*
Author to whom correspondence should be addressed.
Academic Editors: Francesco Serafino and Xiaofeng Li
Received: 27 October 2017 / Revised: 8 December 2017 / Accepted: 11 December 2017 / Published: 12 December 2017
(This article belongs to the Special Issue Instruments and Methods for Ocean Observation and Monitoring)
View Full-Text   |   Download PDF [12676 KB, uploaded 13 December 2017]   |  

Abstract

In this paper, a novel shore-based S-band microwave Doppler coherent wave radar (Microwave Ocean Remote SEnsor (MORSE)) is designed to improve wave measurements. Marine radars, which operate in the X band, have been widely used for ocean monitoring because of their low cost, small size and flexibility. However, because of the non-coherent measurements and strong absorption of X-band radio waves by rain, these radar systems suffer considerable performance loss in moist weather. Furthermore, frequent calibrations to modify the modulation transfer function are required. To overcome these shortcomings, MORSE, which operates in the S band, was developed by Wuhan University. Because of the coherent measurements of this sensor, it is able to measure the radial velocity of water particles via the Doppler effect. Then the relation between the velocity spectrum and wave height spectrum can be used to obtain the wave height spectra. Finally, wave parameters are estimated from the wave height spectra by the spectrum moment method. Comparisons between MORSE and Waverider MKIII are conducted in this study, and the results, including the non-directional wave height spectra, significant wave height and average wave period, are calculated and displayed. The correlation coefficient of the significant wave height is larger than 0.9, whereas that of the average wave period is approximately 0.4, demonstrating the effectiveness of MORSE for the continuous monitoring of ocean areas with high accuracy. View Full-Text
Keywords: S-band radar; MORSE; microwave ocean remote sensor; coherent method; wave measuring; significant wave height; directional wave height spectrum S-band radar; MORSE; microwave ocean remote sensor; coherent method; wave measuring; significant wave height; directional wave height spectrum
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chen, Z.; Wang, Z.; Chen, X.; Zhao, C.; Xie, F.; He, C. S-Band Doppler Wave Radar System. Remote Sens. 2017, 9, 1302.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top