A sea-wave-dynamics monitoring radar based on propagation characteristics of echo signals

Nanxin Wang, Xuefeng Yin, Xuesong Cai, Antonio Pérez Yuste, Yuanmiao Hu

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

As human's marine activities, such as marine aquaculture, ocean shipping and coastal facilities construction, flourished world-widely, it is required to monitor the sea-wave dynamics timely and accurately. The radar introduced in this paper, namely “Sea-wave-dynamics Monitoring and Imaging System (SMIS)”, working in the S-band at the center frequency of 3.1 GHz, is applicable to retrieving sea-wave dynamics. The SMIS emits a Quadrature-Phase-Shift-Keying (QPSK)-modulated sequence and receives the signal echoed by sea surfaces. The Channel Impulse Responses (CIRs) experienced by the received signals are calculated, and based on the CIRs, the so-called delay-concatenated max-power Doppler frequency (DCMPD) spectrum is extracted. A simplified wave model is utilized to retrieve the sea-wave characteristics based on the analysis of the spatial-temporal periodic behavior of the DCMPD spectrum. The SMIS can be used to estimate the three-dimensional wave status, including the wave-height, wave-speed and wave-separation. Experimental valuation of the SMIS' performance has been conducted and the results demonstrate that the estimated sea-wave characteristics are consistent with those observed through a conventional buoy-based monitoring system.

Original languageEnglish
Title of host publication12th European Conference on Antennas and Propagation (EuCAP 2018)
PublisherInstitution of Engineering and Technology
ISBN (Print) 978-1-78561-816-1
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event12th European Conference on Antennas and Propagation, EuCAP 2018 - London, United Kingdom
Duration: 2018 Apr 92018 Apr 13

Conference

Conference12th European Conference on Antennas and Propagation, EuCAP 2018
Country/TerritoryUnited Kingdom
CityLondon
Period2018/04/092018/04/13

Subject classification (UKÄ)

  • Oceanography, Hydrology, Water Resources
  • Signal Processing

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