$X$ -Band Beacon-Receiver Array Evaporation Duct Height Estimation

Recent experimental campaigns provided the opportunity to measure radio wave propagation and atmospheric conditions with the <inline-formula> <tex-math notation="LaTeX">$X$ </tex-math></inline-formula>-band beacon-receiver (XBBR) array system. The system consists of vertical arrays of transmitters and receivers for measuring the <inline-formula> <tex-math notation="LaTeX">$X$ </tex-math></inline-formula>-band propagation. Measurements near the sea surface can be used to obtain information regarding the refractivity profile of the lower atmosphere. Since ducted propagation acts as a leaky waveguide, the vertical array elements in various transmit and receive height combinations effectively observe differing combinations of the modal components propagating in the duct, the use of multiple combinations improves the estimation of duct properties. The aforementioned measurement campaigns occurred near the coast of southern California; the SoCal 2013 experiment and the Scripps Pier Campaign. During both campaigns, the propagation loss recorded at each of the receivers from each of the transmitters, standardized by the total received power, was compared to variable terrain radio parabolic equation model predictions in order to estimate the evaporation duct height (EDH). Point meteorological data were recorded and used with the Navy Atmospheric Vertical Surface Layer Model to obtain <italic>in situ</italic> measurements of the EDH. Comparisons show strong correlation between EDH values inferred from XBBR measurements and meteorological information.

[1]  Jeffrey L. Krolik,et al.  Recursive Bayesian electromagnetic refractivity estimation from radar sea clutter , 2007 .

[2]  Amalia E. Barrios,et al.  Estimation of surface‐based duct parameters from surface clutter using a ray trace approach , 2004 .

[3]  G. D. Thayer,et al.  An improved equation for the radio refractive index of air , 1974 .

[4]  W L Patterson,et al.  Advanced Propagation Model (APM) Version 2.1.04 Computer Software Configuration Item (CSCI) Documents , 2002 .

[5]  Joel T. Johnson,et al.  Radiowave Propagation: Physics and Applications , 2010 .

[6]  Jeffrey L. Krolik,et al.  Inversion for refractivity parameters from radar sea clutter , 2003 .

[7]  A. E. Barrios,et al.  Parabolic equation modeling in horizontally inhomogeneous environments , 1992 .

[8]  A. E. Barrios,et al.  Considerations in the development of the advanced propagation model (APM) for U.S. Navy applications , 2003, 2003 Proceedings of the International Conference on Radar (IEEE Cat. No.03EX695).

[9]  A. Barrios A terrain parabolic equation model for propagation in the troposphere , 1994 .

[10]  L. T. Rogers,et al.  Estimating evaporation duct heights from radar sea echo , 2000 .

[11]  L. Ted Rogers Likelihood estimation of tropospheric duct parameters from horizontal propagation measurements , 1997 .

[12]  Herbert V. Hitney Remote sensing of refractivity structure by direct radio measurements at UHF , 1992 .

[13]  G. D. Dockery Modeling electromagnetic wave propagation in the troposphere using the parabolic equation , 1988 .

[14]  Peter Gerstoft,et al.  Sensitivity analysis and performance estimation of refractivity from clutter techniques , 2009 .

[15]  Xiaofeng Zhao,et al.  Theoretical analysis and numerical experiments of variational adjoint approach for refractivity estimation , 2011 .

[16]  M. Skolnik,et al.  Introduction to Radar Systems , 2021, Advances in Adaptive Radar Detection and Range Estimation.

[17]  Peter Gerstoft,et al.  Statistical maritime radar duct estimation using hybrid genetic algorithm–Markov chain Monte Carlo method , 2007 .

[18]  Herbert V. Hitney,et al.  Integrated refractive effects prediction system /IREPS/ , 1977 .

[19]  Fred D. Tappert,et al.  The parabolic approximation method , 1977 .

[20]  Irina Sirkova,et al.  Brief review on PE method application to propagation channel modeling in sea environment , 2012 .

[21]  Mustafa Kuzuoglu,et al.  PETOOL: MATLAB-based one-way and two-way split-step parabolic equation tool for radiowave propagation over variable terrain , 2011, Comput. Phys. Commun..

[22]  M. Levy Parabolic Equation Methods for Electromagnetic Wave Propagation , 2000 .

[23]  Anthony R. Lowry,et al.  Vertical profiling of atmospheric refractivity from ground‐based GPS , 2002 .

[24]  H. Jeske State and Limits of Prediction Methods of Radar Wave Propagation Conditions Over Sea , 1973 .

[25]  Peter Gerstoft,et al.  Real time refractivity from clutter using a best fit approach improved with physical information , 2010 .

[26]  A. Karimian,et al.  Refractivity estimation from sea clutter: An invited review , 2011 .

[27]  R. A. Paulus,et al.  Evaporation duct effects on sea clutter , 1990 .

[28]  C. Yardim,et al.  Tracking Refractivity from Clutter Using Kalman and Particle Filters , 2008, IEEE Transactions on Antennas and Propagation.