Significant wave height extraction using a low‐frequency HFSWR system under low sea state. Issue 6 (13th April 2018)

• Record Type: Journal Article
• Authors: Li, Xiaodong; Yu, Changjun; Su, Fulin; Quan, Taifan; Chu, Xiaoliang; Wang, Shuyao
• Is Part Of: IET radar, sonar & navigation. Volume 12:Issue 6(2018)
• Page Start: 671
• Page End: 677
• Publication Date: 2018-04-13
• Subjects: backscatter -- radar clutter -- radial basis function networks -- ocean waves -- remote sensing by radar -- oceanographic techniques -- marine radar; low‐frequency HFSWR system -- wave height condition -- Barrick's algorithm -- low sea state -- high‐frequency surface wave radar systems -- significant wave height extraction method -- frequency 3.0 MHz to 30.0 MHz; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2018.0044
• Languages: English
• ISSNs: 1751-8784

Abstract

Abstract : High‐frequency surface wave radar (HFSWR) systems are usually located on the coast and measure electromagnetic backscatter from the sea in the 3–30 MHz band. Based on the theory of ground wave propagation, the detection distance of a low‐frequency HFSWR system could be longer that of a high‐frequency one. Therefore, a low‐frequency HFSWR system is more suitable to extract the significant wave height at a distance. The Barrick's algorithm‐based significant wave height extraction method is widely used, and the accuracy of the method has been validated by a large number of experiments. However, it is important to note that under the low sea state, the wave conditions of the data recorded by a low‐frequency HFSWR system may not satisfy the wave height condition required in Barrick's algorithm. Hence, the algorithm may produce unreliable results. To address this issue, a method based on Barrick's algorithm, a new non‐linear model, and the radial basis function neural network is proposed. Simulations on real‐world data collected on the coast of the Tianjin from 1 May 2015 to 25 May 2015 support the method developed.