SEKE: A computer model for low altitude radar propagation over irregular terrain

Ayasli, S.

doi:10.1109/tap.1986.1143933

Cited by 43 publications

(14 citation statements)

References 13 publications

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“…As to what this would entail, consider that the illuminating field strength is often a rapid function of elevation near the ground, making it difficult to either measure or predict the actual illuminating field distributions over typical vertical clutter features (e.g., tree, silo). Our Spherical Earth with Knift 'ges (SEKE) radar propagation computer code [7], based on Defense Mapping Agency (DMA) digital terrain elevation data (DTED), was developed principally for predicting field strengths at aircraft altitudes. At X-band, this code is useful for providing physical insight on the statistical average over large spatial regions at clutter source heights [2], but is not accurate enough to allow deterministic cell-by-cell computation and separation of F in our measurements.…”

Section: B1 Backgroundmentioning

confidence: 99%

Multifrequency Measurements of Radar Ground Clutter at 42 Sites. Volume 2. Appendices A through D

Billingsley¹,

Larrabee²

1991

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Section: B1 Backgroundmentioning

confidence: 99%

Multifrequency Measurements of Radar Ground Clutter at 42 Sites. Volume 2. Appendices A through D

Billingsley¹,

Larrabee²

1991

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“…Topography is accounted for using the terrain masking approach (Ayasli and Carlson, 1985). Terrain masking approximates changes in the ground surface by a series of knife-edge diffractions.…”

Section: Source Function Developmentmentioning

confidence: 99%

Topographic effects on infrasound propagation

McKenna

Gibson

Walker

et al. 2012

The Journal of the Acoustical Society of America

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Infrasound data were collected using portable arrays in a region of variable terrain elevation to quantify the effects of topography on observed signal amplitude and waveform features at distances less than 25 km from partially contained explosive sources during the Frozen Rock Experiment (FRE) in 2006. Observed infrasound signals varied in amplitude and waveform complexity, indicating propagation effects that are due in part to repeated local maxima and minima in the topography on the scale of the dominant wavelengths of the observed data. Numerical simulations using an empirically derived pressure source function combining published FRE accelerometer data and historical data from Project ESSEX, a time-domain parabolic equation model that accounted for local terrain elevation through terrain-masking, and local meteorological atmospheric profiles were able to explain some but not all of the observed signal features. Specifically, the simulations matched the timing of the observed infrasound signals but underestimated the waveform amplitude observed behind terrain features, suggesting complex scattering and absorption of energy associated with variable topography influences infrasonic energy more than previously observed.

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“…The proposed algorithm for modeling multipath and diffraction is SEKE (spherical earth and knife edge) [5]. This model makes use of the original Lincoln Laboratory models geometrical optics (GOPT), low altitude propagation spherical earth (LAPSE), and low altitude propagation knife edges (LAPKE) to compute multipath, spherical earth diffraction, and multipath knife-edge diffraction losses.…”

Section: Multipath and Diffractionmentioning

confidence: 99%

RF Effect Algorithms of Terrain Environment in Signal-Level Radar System Simulation

Wang

Guo

et al. 2010

2010 Second International Conference on Computer Modeling and Simulation

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In radar system simulation, the reliability of simulation results depends not only on radar and target models, but also on RF (radio frequency) environment models, including clutter, multipath and diffraction. In radar function simulation, all of these factors are treated as a single pattern-propagation factor and can only give limited information for radar models. In signal-level simulation, radar models require that simulated echoes should include information such as delay, phase shift, doppler frequency, polarization, etc. By discussing and analyzing the principles and algorithms of RF environment effects of ground, a ground RF environment model is proposed, which can provide a reliable RF environment for signal-level simulation of radar systems. A simulation example involving clutter model is carried out and analyzed.

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SEKE: A computer model for low altitude radar propagation over irregular terrain

Cited by 43 publications

References 13 publications

Multifrequency Measurements of Radar Ground Clutter at 42 Sites. Volume 2. Appendices A through D

Multifrequency Measurements of Radar Ground Clutter at 42 Sites. Volume 2. Appendices A through D

Topographic effects on infrasound propagation

RF Effect Algorithms of Terrain Environment in Signal-Level Radar System Simulation

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