Advanced Refractive Effects Prediction System (AREPS)

Patterson, W. L.

doi:10.1109/radar.2007.374337

Cited by 53 publications

(37 citation statements)

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“…Indeed, absorption, diffusion, refraction or diffraction are able to disturb the wave propagation above earth's surface. To predict radar detection and telecommunications connection range in operational conditions, hybrid modeling techniques of the propagation have been developed, e.g., AREPS [1], TERPEM [2]. These hybrid methods use PWE resolution technique to model propagation at low altitudes.…”

Section: Introductionmentioning

confidence: 99%

Forward Propagation Modeling Above Gaussian Rough Surfaces by the Parabolic Shadowing Effect

Fabbro¹,

Bourlier²,

Combes³

2006

PIER

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Abstract-In this paper, a fast method is presented to model the forward propagation above Gaussian rough surfaces and taking into account atmospheric refraction. The method is based on the Discrete Mixed Fourier Transform (DMFT) solved by the Parabolic Wave Equation, in which the Ament boundary condition with shadowing effect is used at grazing angle.In this model, for a bistatic configuration, the surface height PDF of the illuminated points is derived and it is introduced in the boundary condition. Examples demonstrate the capacities of the method to compute propagation factor above rough surfaces following Gaussian statistics and Gaussian height correlation and the proposed method is validated by comparison to a Monte Carlo approach.

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Section: Introductionmentioning

confidence: 99%

Forward Propagation Modeling Above Gaussian Rough Surfaces by the Parabolic Shadowing Effect

Fabbro¹,

Bourlier²,

Combes³

2006

PIER

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“…Due to the importance of radars and radar performance to the Navy's fleet operations, Space and Naval Warfare Center, San Diego, has developed the Advanced Refractive Effects Prediction System (AREPS) [7]. For a given radar, the AREPS software calculates and displays refractivity, modified refractivity and gradient ducts as a function of height.…”

Section: Calculations and Resultsmentioning

confidence: 99%

Uncertainty Results for the Probability of Raid Annihilation Measure

Blake¹,

Grigsby²,

Kasputis³

2006

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Probability of Raid Annihilation, P RA , is the Navy's Measure of a single ship with its combat systems to detect, control, engage and defeat a specified raid of threats within a specified level of probability in an operational environment. Threat performance and combat system performance both can vary significantly with natural environment conditions so the P RA federation incorporates these effects. In an earlier paper (01F-SIW-077), uncertainty in the P RA Measure or federation outcome was linked mathematically to uncertainty in the implemented natural environment representation. This procedure was based on the detailed documentation and analysis provided by the P RA Environment Concept Model (ECM). In this paper uncertainty results are presented using this procedure. The uncertainty assessment includes a reasonable range of uncertainties in the individual environment parameters but maintains consistency within the environment representation by means of the ECM.Maintaining consistency is required because the uncertainty analysis shows that the uncertainty in P RA Measure depends not only on the magnitude of uncertainty in an environment parameter but also on the overall environment representation supplied. The uncertainty analysis not only provides an assessment of how good the P RA Measure is but also provides information on the best-cost benefit to improvement in the P RA measure.

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“…The case in which we have the most interest is trapping. This occurs when the rate of change of M with increasing altitude is negative, which can cause the transmitted wave to curve toward the Earth to such a degree that it can reflect off the surface of the Earth and remain trapped in a "duct" [18].…”

Section: Basic Definitionsmentioning

confidence: 99%

<inline-formula> <tex-math notation="LaTeX">$X$ </tex-math> </inline-formula>-Band Beacon-Receiver Array Evaporation Duct Height Estimation

Pozderac

Johnson

Yardim

et al. 2018

IEEE Trans. Antennas Propagat.

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Abstract-Two recent experimental campaigns have provided the opportunity to measure radiowave propagation and atmospheric conditions with the X-Band Beacon-Receiver (XBBR) array system. The XBBR consists of vertical arrays of transmitters and receivers for measuring X-band radio frequency propagation. When used to measure propagation near the sea surface, the resulting data can be used to obtain information on the evaporation duct height (EDH) and 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 all transmitter/receiver combinations therefore improves estimation of duct properties.The first campaign deployed the XBBR off the coast of San Diego, CA during the SoCal 2013 experiment. The second campaign took place in La Jolla, CA at the Scripps Institution of Oceanography Pier for long-term measurement of propagation in the marine atmospheric boundary layer. The propagation loss between transmitters at multiple heights and receivers at multiple heights was measured, and the received power 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 (VTRPE) [1] model predictions in order to estimate the EDH. Point meteorological data was also recorded and used with the Navy Atmospheric Vertical Surface Layer Model (NAVSLaM) [2] to obtain in-situ measurements of the EDH. Comparisons show a high degree of correlation between EDH values inferred from XBBR and from meteorological information.

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Advanced Refractive Effects Prediction System (AREPS)

Cited by 53 publications

References 0 publications

Forward Propagation Modeling Above Gaussian Rough Surfaces by the Parabolic Shadowing Effect

Forward Propagation Modeling Above Gaussian Rough Surfaces by the Parabolic Shadowing Effect

Uncertainty Results for the Probability of Raid Annihilation Measure

<inline-formula> <tex-math notation="LaTeX">$X$ </tex-math> </inline-formula>-Band Beacon-Receiver Array Evaporation Duct Height Estimation

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