The Multiple Launch Angle Refractivity‐From‐Clutter (MLA‐RFC) Technique

Abstract The phenomenon of ducting, influenced by variations in air moisture and temperature above the sea surface, introduces non‐standard propagation characteristics that can significantly affect marine communication and radar systems. Therefore, it is necessary to understand these duct formations in order to accurately predict system performance. Atmospheric ducts are characterized by variations in the vertical refractivity profile. The Refractivity‐From‐Clutter (RFC) technique, known for real‐time low tropospheric refractivity profiling, is the focus of this study. This paper explores the concept of employing Multiple Launch Angles (MLA) to enhance RFC inversion precision. The optimal number and distribution of launch angles, multiple‐angle cost functions, and corresponding MLA‐RFC performance computations are demonstrated via simulations. An MLA‐RFC‐capable radar is built and deployed during the Coastal Land‐Air‐Sea Interaction (CLASI) Study in Moss Landing, CA in 2021 and 2022. The Lower ATmospheric PROPagation (LATPROP) radar system is a modified, low‐cost marine radar. The capabilities of MLA‐RFC are demonstrated using multiple launch angle LATPROP radar measurements collected during the CLASI campaign. The results show that the MLA‐RFC method outperforms the single‐angle RFC approach by generating reliable launch angle weights and applying them to the inversion algorithm, which leads to reduced bias and RMS error in evaporation duct height estimates. These weights are derived from the averaged simulated energy trapped in a duct for a given evaporation duct height. Both simulation and experimental results indicate that MLA improves estimation performance by up to 77% and 67%, respectively, compared to the classical single‐launch angle RFC.

Authors

Institutions

Publication Details

Journal
Radio Science
Published
2026-03-01
DOI
https://doi.org/10.1029/2025rs008307
Primary Topic
Radio Wave Propagation Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Multiple Launch Angle Refractivity‐From‐Clutter (MLA‐RFC) Technique

Jesus Ruiz‐Plancarte, Ryan Yamaguchi, Caglar Yardim, David G. Ortiz‐Suslow et al.
Radio Science
Radio Wave Propagation Studies
article

The Multiple Launch Angle Refractivity‐From‐Clutter (MLA‐RFC) Technique

Jesus Ruiz‐Plancarte, Ryan Yamaguchi, Caglar Yardim, David G. Ortiz‐Suslow, DeGrafth A. Palmore, Qing Wang, Brian K. Haus
article en

Abstract

Abstract The phenomenon of ducting, influenced by variations in air moisture and temperature above the sea surface, introduces non‐standard propagation characteristics that can significantly affect marine communication and radar systems. Therefore, it is necessary to understand these duct formations in order to accurately predict system performance. Atmospheric ducts are characterized by variations in the vertical refractivity profile. The Refractivity‐From‐Clutter (RFC) technique, known for real‐time low tropospheric refractivity profiling, is the focus of this study. This paper explores the concept of employing Multiple Launch Angles (MLA) to enhance RFC inversion precision. The optimal number and distribution of launch angles, multiple‐angle cost functions, and corresponding MLA‐RFC performance computations are demonstrated via simulations. An MLA‐RFC‐capable radar is built and deployed during the Coastal Land‐Air‐Sea Interaction (CLASI) Study in Moss Landing, CA in 2021 and 2022. The Lower ATmospheric PROPagation (LATPROP) radar system is a modified, low‐cost marine radar. The capabilities of MLA‐RFC are demonstrated using multiple launch angle LATPROP radar measurements collected during the CLASI campaign. The results show that the MLA‐RFC method outperforms the single‐angle RFC approach by generating reliable launch angle weights and applying them to the inversion algorithm, which leads to reduced bias and RMS error in evaporation duct height estimates. These weights are derived from the averaged simulated energy trapped in a duct for a given evaporation duct height. Both simulation and experimental results indicate that MLA improves estimation performance by up to 77% and 67%, respectively, compared to the classical single‐launch angle RFC.

Radio ScienceVol. 61(3)
University of Miami (US), Naval Postgraduate School (US), The Ohio State University (US)
Life below water
Openalex Percentile: Top 7%
Radio Wave Propagation Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.