Environment and Clutter

Radar propagation, land and sea clutter, atmospheric models, attenuation due to gas, fog, rain and snow

Flat and curved Earth models with and without ITU atmospheric models. Lens effects losses. Radar propagation factor. Sea surface characterization with sea state and permittivity. Land surface characterization with vegetation type and permittivity. Polarization, grazing angle, and velocity-dependent sea and land clutter. ITU and Crane attenuation models due to rain. ITU attenuation model due to cloud and fog. Gunn-East snow model.

Functions

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Atmosphere

`atmositu`	Use ITU reference atmospheres
`fspl`	Free space path loss
`gaspl`	RF signal attenuation due to atmospheric gases
`lenspl`	Calculate loss due to tropospheric lens effect
`radarpropfactor`	One-way radar propagation factor
`refractiveidx`	Calculates the refractive index
`refractionexp`	CRPL exponential reference atmosphere refraction exponent
`tropopl`	Slant-path loss due to atmosphere gaseous absorption

Clutter

`billingsleyicm`	Billingsley’s intrinsic clutter motion (ICM) model
`clutterSurfaceRCS`	Surface clutter radar cross section
`clutterSurfaceRangeDopplerRCS`	Surface RCS as a function of range and Doppler
`clutterGenerator`	Add clutter generator for radar
`earthSurfacePermittivity`	Permittivity and conductivity of earth surface materials
`landreflectivity`	Reflectivity of land surface
`landroughness`	Surface height standard deviation for land
`landSurface`	Add land surface to radar scenario
`seareflectivity`	Normalized sea surface reflectivity
`searoughness`	Surface height standard deviation for sea
`seaSpectrum`	Sea surface omnidirectional motion spectrum model
`seaSurface`	Add sea surface to radar scenario
`surfacegamma`	Gamma value for different terrains
`surfaceReflectivity`	Normalized reflectivity of surface
`surfaceReflectivityLand`	Normalized reflectivity of land surface
`surfaceReflectivityCustom`	Normalized reflectivity of custom surface
`surfaceReflectivitySea`	Normalized reflectivity of sea surface
`tirempl`	Path loss using Terrain Integrated Rough Earth Model (TIREM)
`clutterVolumeRCS`	Radar cross-section of volume clutter
`surfclutterrcs`	Surface clutter radar cross section (RCS)

Weather

`cranerainpl`	RF signal attenuation due to rainfall using Crane model
`fogpl`	RF signal attenuation due to fog and clouds
`rainpl`	RF signal attenuation due to rainfall
`snowpl`	Path loss due to wet snow

Scenario Geometry

`depressionang`	Depression angle of surface target
`effearthradius`	Effective earth radius
`grazingang`	Grazing angle of surface target
`horizonrange`	Horizon range
`llarangeangle`	Propagation range between two geolocations
`el2height`	Convert target elevation angle to height
`height2el`	Convert target height to elevation angle
`height2range`	Convert target height to propagated range
`height2grndrange`	Convert target height to ground range
`range2height`	Convert propagated range to target height
`slant2range`	Convert slant range to propagated range

Featured Examples

Predict Surface Clutter Power in Range-Doppler Space

Calculate the radar cross section (RCS) of a surface clutter seen by a pulse-Doppler radar system.

Open Live Script

Modeling the Propagation of Radar Signals

Model RF propagation effects such as free space path loss, atmospheric attenuation due to rain, fog and gas, and multipath propagation due to bounces on the ground.

Open Script

Simulate a Coastal Surveillance Radar

Simulate a stationary land-based radar that collects returns from extended targets at sea.

Open Live Script

Maritime Radar Sea Clutter Modeling

Introduce a sea clutter simulation for a maritime surveillance radar system.

Open Live Script

$Modeling Target Position Errors Due to Refraction$

Modeling Target Position Errors Due to Refraction

Explore some environmental factors that are beyond a radar system designer's control and can result in losses and estimation errors.

Open Live Script

Planning Radar Network Coverage over Terrain

Plan a radar network using propagation modelling over terrain. DTED level-1 terrain data is imported for a region that contains five candidate monostatic radar sites. The radar equation is used to determine whether target locations can be detected, where additional path loss is calculated using either the Longley-Rice propagation model or Terrain Integrated Rough Earth Model™ (TIREM™). The best three sites are selected for detection of a target that is flying at 500 meters above ground level. The scenario is updated to model a target that is flying at 250 meters above ground level. Radar coverage maps are shown for both scenarios.

Open Live Script

Radar Vertical Coverage over Terrain

Define an L-band radar system in the presence of heavy clutter and visualize its three-dimensional vertical coverage over terrain.

Open Live Script

$Simulating Radar Signals with Atmospheric Refraction Effects$

Simulating Radar Signals with Atmospheric Refraction Effects

The performance of a radar system is closely tied to the environment in which it operates. This example will discuss one of the environmental factors that is outside of the system designer's control, namely the atmosphere. In particular, this example will focus on the refraction effects due to the atmosphere and its impact on target parameter estimation.

Open Live Script