phased.WidebandLOSChannel
Wideband LOS propagation channel
Description
The phased.WidebandLOSChannel
System object™ models the propagation of wideband electromagnetic signals through a
line-of-sight (LOS) channel from a source to a destination. In an LOS channel,
propagation paths are straight lines from point to point. The propagation model in the
LOS channel includes free-space attenuation in addition to attenuation due to
atmospheric gases, rain, fog, and clouds. You can use phased.WidebandLOSChannel
to
model the propagation of signals between multiple points simultaneously. The System object works for all frequencies.
While the attenuation models for atmospheric gases and rain are valid for electromagnetic signals in the frequency range 1–1000 GHz only, the attenuation model for fog and clouds is valid for 10–1000 GHz. Outside these frequency ranges, the System object uses the nearest valid value.
The phased.WidebandLOSChannel
System object applies range-dependent time delays to the signals, as well as gains or
losses. When either the source or destination is moving, the System object applies Doppler shifts.
Like the phased.WidebandFreeSpace
System object, the phased.WidebandLOSChannel
System object supports two-way propagation.
To create and use a wideband LOS channel:
Create the
phased.WidebandLOSChannel
object and set its properties.Call the object with arguments, as if it were a function.
To learn more about how System objects work, see What Are System Objects?
Creation
Description
creates a Wideband LOS attenuating propagation channel System object, channel
= phased.WidebandLOSChannelchannel
.
creates a System object, channel
= phased.WidebandLOSChannel(Name
=Value
)channel
, with each specified property
Name
set to the specified Value
. You can
specify additional name and value pair arguments in any order as
(Name1=Value1
,...,Name=ValueN
).
Properties
Unless otherwise indicated, properties are nontunable, which means you cannot change their
values after calling the object. Objects lock when you call them, and the
release
function unlocks them.
If a property is tunable, you can change its value at any time.
For more information on changing property values, see System Design in MATLAB Using System Objects.
PropagationSpeed
— Signal propagation speed
physconst('LightSpeed')
(default) | positive scalar
Signal propagation speed, specified as a positive scalar. Units are in meters per second. The
default propagation speed is the value returned by
physconst('LightSpeed')
. See physconst
for more information.
Example: 3e8
Data Types: double
OperatingFrequency
— Operating frequency
300e6
(default) | positive scalar
Operating frequency, specified as a positive scalar. Units are in Hz.
Example: 1e9
Data Types: double
SpecifyAtmosphere
— Enable atmospheric attenuation model
false
(default) | true
Option to enable the atmospheric attenuation model, specified
as a false
or true
. Set this
property to true
to add signal attenuation caused
by atmospheric gases, rain, fog, or clouds. Set this property to false
to
ignore atmospheric effects in propagation.
Setting SpecifyAtmosphere
to true
,
enables the Temperature
, DryAirPressure
, WaterVapourDensity
, LiquidWaterDensity
,
and RainRate
properties.
Data Types: logical
Temperature
— Ambient temperature
15
(default) | real-valued scalar
Ambient temperature, specified as a real-valued scalar. Units are in degrees Celsius.
Example: 20.0
Dependencies
To enable this property, set SpecifyAtmosphere
to true
.
Data Types: double
DryAirPressure
— Atmospheric dry air pressure
101.325e3
(default) | positive real-valued scalar
Atmospheric dry air pressure, specified as a positive real-valued scalar. Units are in pascals (Pa). The default value of this property corresponds to one standard atmosphere.
Example: 101.0e3
Dependencies
To enable this property, set SpecifyAtmosphere
to true
.
Data Types: double
WaterVapourDensity
— Atmospheric water vapor density
7.5
(default) | positive real-valued scalar
Atmospheric water vapor density, specified as a positive real-valued scalar. Units are in g/m3.
Example: 7.4
Dependencies
To enable this property, set SpecifyAtmosphere
to true
.
Data Types: double
LiquidWaterDensity
— Liquid water density
0.0
(default) | nonnegative real-valued scalar
Liquid water density of fog or clouds, specified as a nonnegative real-valued scalar. Units are in g/m3. Typical values for liquid water density are 0.05 for medium fog and 0.5 for thick fog.
Example: 0.1
Dependencies
To enable this property, set SpecifyAtmosphere
to true
.
Data Types: double
RainRate
— Rainfall rate
0.0
(default) | non-negative real-valued scalar
Rainfall rate, specified as a nonnegative real-valued scalar. Units are in
mm/hr. This property applies only when you set
SpecifyAtmosphere
to
true
.
Example: 10.0
Data Types: double
TwoWayPropagation
— Enable two-way propagation
false
(default) | true
Enable two-way propagation, specified as a false
or
true
. Set this property to true
to perform
round-trip propagation between the signal origin and the destination. Set this property
to false
to perform only one-way propagation from the origin to the
destination.
Example: true
Data Types: logical
SampleRate
— Sample rate of signal
1e6
(default) | positive scalar
Sample rate of signal, specified as a positive scalar. Units are in Hz. The System object uses this quantity to calculate the propagation delay in units of samples.
Example: 1e6
Data Types: double
NumSubbands
— Number of processing subbands
64
(default) | positive integer
Number of processing subbands, specified as a positive integer.
Example: 128
Data Types: double
MaximumDistanceSource
— Source of maximum one-way propagation distance
'Auto'
(default) | 'Property'
Source of maximum one-way propagation distance, specified as 'Auto'
or 'Property'
.
The maximum one-way propagation distance is used to allocate sufficient
memory for signal delay computation. When you set this property to 'Auto'
,
the System object automatically allocates memory. When you set
this property to 'Property'
, you specify the maximum
one-way propagation distance using the value of the MaximumDistance
property.
Data Types: char
MaximumDistance
— Maximum one-way propagation distance
10000
(default) | positive real-valued scalar
Maximum one-way propagation distance, specified as a positive real-valued scalar. Units are in meters. Any signal that propagates more than the maximum one-way distance is ignored. The maximum distance must be greater than or equal to the largest position-to-position distance.
Example: 5000
Dependencies
To enable this property, set the MaximumDistanceSource
property
to 'Property'
.
Data Types: double
MaximumNumInputSamplesSource
— Source of maximum number of samples
'Auto'
(default) | 'Property'
The source of the maximum number of samples of the input signal, specified as
'Auto'
or 'Property'
. When you set this
property to 'Auto'
, the propagation model automatically allocates
enough memory to buffer the input signal. When you set this property to
'Property'
, you specify the maximum number of samples in the
input signal using the MaximumNumInputSamples
property. Any input
signal longer than that value is truncated.
To use this object with variable-size signals in a MATLAB® Function Block in Simulink®, set the MaximumNumInputSamplesSource
property to
'Property'
and set a value for the
MaximumNumInputSamples
property.
Example: 'Property'
Dependencies
To enable this property, set MaximumDistanceSource
to
'Property'
.
Data Types: char
MaximumNumInputSamples
— Maximum number of input signal samples
100
(default) | positive integer
Maximum number of input signal samples, specified as a positive integer. The input signal is the first argument of the object call. The size of the input signal is the number of rows in the input matrix. Any input signal longer than this number is truncated. To process signals completely, ensure that this property value is greater than any maximum input signal length.
The waveform-generating System objects determine the maximum signal size:
For any waveform, if the waveform
OutputFormat
property is set to'Samples'
, the maximum signal length is the value specified in theNumSamples
property.For pulse waveforms, if the
OutputFormat
is set to'Pulses'
, the signal length is the product of the smallest pulse repetition frequency, the number of pulses, and the sample rate.For continuous waveforms, if the
OutputFormat
is set to'Sweeps'
, the signal length is the product of the sweep time, the number of sweeps, and the sample rate.
Example: 2048
Dependencies
To enable this property, set MaximumNumInputSamplesSource
to 'Property'
.
Data Types: double
Usage
Description
returns the resulting signal, prop_sig
= channel(sig
,origin_pos
,dest_pos
,origin_vel
,dest_vel
)prop_sig
, when a wideband
signal, sig
, propagates through a line-of-sight (LOS)
channel from a source located at the origin_pos
position to
a destination at the dest_pos
position. Only one of the
origin_pos
or dest_pos
arguments
can specify multiple positions. The other must contain a single position. The
velocity of the signal origin is specified in origin_vel
and the velocity of the signal destination is specified in
dest_vel
. The dimensions of
origin_vel
and dest_vel
must match
the dimensions of origin_pos
and
dest_pos
, respectively.
Electromagnetic fields propagating through an LOS channel can be polarized or
nonpolarized. For nonpolarized fields, the propagating signal field,
sig
, is a vector or matrix. For polarized fields,
sig
is an array of structures. The structure elements
represent an electric field vector in Cartesian form.
Input Arguments
sig
— Wideband signal
M-by-N complex-valued
matrix | 1-by-N
struct
array containing complex-valued fields
Wideband signal, specified as a matrix or struct
array, depending on whether is signal or polarized or nonpolarized. The
quantity M is the number of samples in the signal,
and N is the number of wideband LOS channels. Each
channel corresponds to a source-destination pair.
Wideband nonpolarized scalar signal. Specify
sig
as an M-by-N complex-valued matrix. Each column contains one signal propagated along the line-of-sight path.Wideband polarized signal. Specify
sig
as a 1-by-Nstruct
array containing complex-valued fields. Eachstruct
represents a polarized signal propagated along the line-of-sight path. Eachstruct
element contains three M-by-1 complex-valued column vectors,sig.X
,sig.Y
, andsig.Z
. These vectors represent the x, y, and z Cartesian components of the polarized signal.
Example: [1,1;j,1;0.5,0]
Data Types: double
Complex Number Support: Yes
origin_pos
— Signal origins
3-by-1 real-valued column vector | 3-by-N real-valued matrix
Origin of signals, specified as a 3-by-1 real-valued column vector or
3-by-N real-valued matrix. The quantity
N is the number of LOS channels. If
origin_pos
is a column vector, it takes the
form [x;y;z]
. If origin_pos
is a
matrix, each column specifies a different signal origin and has the form
[x;y;z]
. Units are in meters.
You cannot specify both origin_pos
and
dest_pos
as matrices. At least one must be a
3-by-1 column vector.
Example: [1000;100;500]
Data Types: double
dest_pos
— Signal destinations
3-by-1 real-valued column vector | 3-by-N real-valued matrix
Destination position of the signal or signals, specified as a 3-by-1
real-valued column vector or 3-by-N real-valued
matrix. The quantity N is the number of LOS channels
propagating from or to N signal origins. If
dest_pos
is a 3-by-1 column vector, it takes
the form [x;y;z]
. If dest_pos
is
a matrix, each column specifies a different signal destination and takes
the form [x;y;z]
Position units are in meters.
You cannot specify both origin_pos
and
dest_pos
as matrices. At least one must be a
3-by-1 column vector.
Example: [0;0;0]
Data Types: double
origin_vel
— Velocities of signal origins
3-by-1 real-valued column vector | 3-by-N real-valued matrix
Velocity of signal origin, specified as a 3-by-1 real-valued column
vector or 3-by-N real-valued matrix. The dimensions
of origin_vel
must match the dimensions of
origin_pos
. If origin_vel
is a column vector, it takes the form [Vx;Vy;Vz]
. If
origin_vel
is a 3-by-N
matrix, each column specifies a different origin velocity and has the
form [Vx;Vy;Vz]
. Velocity units are in meters per
second.
Example: [10;0;5]
Data Types: double
dest_vel
— Velocities of signal destinations
3-by-1 real-valued column vector | 3-by-N real-valued matrix
Velocity of signal destinations, specified as a 3-by-1 real-valued
column vector or 3-by-N real-valued matrix. The
dimensions of dest_vel
must match the dimensions of
dest_pos
. If dest_vel
is a
column vector, it takes the form [Vx;Vy;Vz]
. If
dest_vel
is a 3-by-N matrix,
each column specifies a different destination velocity and has the form
[Vx;Vy;Vz]
Velocity units are in meters per
second.
Example: [0;0;0]
Data Types: double
Output Arguments
prop_sig
— Wideband propagated signal
M-by-N complex-valued
matrix | 1-by-N
struct
array containing complex-valued fields
Wideband signal, returned as a matrix or struct
array, depending on whether the signal is polarized or nonpolarized. The
quantity M is the number of samples in the signal and
N is the number of wideband LOS channels. Each
channel corresponds to a source-destination pair.
Wideband nonpolarized scalar signal.
prop_sig
is an M-by-N complex-valued matrix.The size of the first dimension of the input matrix can vary to simulate a changing signal length. A size change can occur, for example, in the case of a pulse waveform with variable pulse repetition frequency.
Wideband polarized scalar signal.
prop_sig
is a 1-by-Nstruct
array containing complex-valued fields. Eachstruct
element contains three M-by-1 complex-valued column vectors,sig.X
,sig.Y
, andsig.Z
. These vectors represent the x, y, and z Cartesian components of the polarized signal.The size of the first dimension of the matrix fields within the
struct
can vary to simulate a changing signal length such as a pulse waveform with variable pulse repetition frequency.
The prop_sig
output contains signal samples
arriving at the signal destination within the current time frame. The
current time frame is the time frame of the input signals to the object.
Whenever it takes longer than the current time frame for the signal to
propagate from the origin to the destination, the output might not
contain all contributions from the input of the current time frame. The
remaining output appears in the next call to the object.
Object Functions
To use an object function, specify the
System object as the first input argument. For
example, to release system resources of a System object named obj
, use
this syntax:
release(obj)
Examples
Propagate Wideband Signal in LOS Channel
Propagate a wideband signal in a line-of-sight (LOS) channel from a radar at (0,0,0) meters to a target at (60,0,0) meters in medium fog. Set the fog liquid water density to 0.05 . Assume rain is falling at 5 mm/hr. The signal carrier frequency is 20 GHz. The signal is a sum of four cw tones at 19.75, 19.875, 20.125, and 20.25 GHz. Set the signal duration to 0.5 microsecond and the sample rate to 2.0 GHz. Assume the radar is stationary and the target approaches the radar at 40 m/s. The atmospheric temperature is 12°C and the dry air pressure is 101.300 kPa.
Set the signal parameters and create the transmitted signal.
c = physconst('LightSpeed');
fs = 2e9;
freq = [-0.25,-.125,0.0,0.125,0.25]*1e9;
fc = 20.0e9;
dt = 1/fs;
t = [0:dt:.5e-6];
sig = sum(exp(1i*2*pi*t.'*freq),2);
Specify the atmosphere parameters and create the phased.WidebandChannel
System object™.
lwd = 0.05; rainrate = 5.0; dap = 101300.0; temp = 12.0; channel = phased.WidebandLOSChannel('SampleRate',fs,'PropagationSpeed',c,... 'SpecifyAtmosphere',true,'OperatingFrequency',fc,'RainRate',rainrate,... 'LiquidWaterDensity',lwd,'Temperature',temp,'DryAirPressure',dap);
Specify the radar and target positions and velocities.
xradar = [0,0,0].'; vradar = [0,0,0].'; xtgt = [60,0,0].'; vtgt = [-40,0,0].';
Propagate the signal.
prop_sig = channel(sig,xradar,xtgt,vradar,vtgt);
Plot the propagated signal. For a target range of 60 m, the propagation delay is 0.20 μs as shown in the plot.
plot(t*1e6,real(prop_sig)) grid xlabel('Time (\mu sec)') ylabel('Amplitude')
Spectrum of Propagated Signal in Wideband LOS Channel
Propagate a wideband signal in a line-of-sight (LOS) channel from a radar at (0,0,0) meters to a target at (35,0,0) meters in medium fog. Set the fog liquid water density to 0.05 gm/m3. Assume rain is falling at 5 mm/hr. The signal carrier frequency is 20 GHz. The signal is a sum of four cw tones at 19.75, 19.875, 20.125, and 20.25 GHz. Set the signal duration to 0.5 μs and the sample rate to 2.0 GHz. Assume the radar is stationary and the target approaches the radar at 40 m/s. The atmospheric temperature is 12°C.
Set the signal parameters and create the transmitted signal.
c = physconst('LightSpeed');
fs = 2e9;
freq = [-0.25,-.125,0.125,0.25]*1e9;
fc = 20.0e9;
dt = 1/fs;
t = [0:dt:.5e-6];
sig = sum(exp(1i*2*pi*t.'*freq),2);
Specify the atmosphere parameters and create the phased.WidebandChannel
System object™.
lwd = 0.05; rainrate = 5.0; temp = 12.0; channel = phased.WidebandLOSChannel('SampleRate',fs,'PropagationSpeed',c,... 'SpecifyAtmosphere',true,'OperatingFrequency',fc,'RainRate',rainrate,... 'LiquidWaterDensity',lwd,'Temperature',temp);
Specify the radar and target positions and velocities.
xradar = [0,0,0].'; vradar = [0,0,0].'; xtgt = [35,0,0].'; vtgt = [-40,0,0].';
Propagate the signal.
prop_sig = channel(sig,xradar,xtgt,vradar,vtgt);
Plot the propagated signal. For a target range of 35 m, the propagation delay is 0.11 μs as seen in the plot.
plot(t*1e6,real(prop_sig)) grid xlabel('Time ({\mu}s)') ylabel('Amplitude')
Using the periodogram
function with a Taylor window, plot the spectra of the original and propagated signals.
nfft = 1024; nsamp = size(sig,1); periodogram([sig prop_sig],taylorwin(nsamp),nfft,fs,'centered') ylim([-200 0]) legend('transmitted','propagated')
More About
Attenuation and Loss Factors
Attenuation or path loss in the Wideband LOS channel consists of four components. L = LfspLgLcLr, where
Lfsp is the free-space path attenuation
Lg is the atmospheric path attenuation
Lc is the fog and cloud path attenuation
Lr is the rain path attenuation
Each component is in magnitude units, not in dB.
Free-space Time Delay and Loss
When the origin and destination are stationary relative to each other, you can write the output signal of a free-space channel as Y(t) = x(t-τ)/Lfsp. The quantity τ is the signal delay and Lfsp is the free-space path loss. The delay τ is given by R/c, where R is the propagation distance and c is the propagation speed. The free-space path loss is given by
where λ is the signal wavelength.
This formula assumes that the target is in the far field of the transmitting element or array. In the near field, the free-space path loss formula is not valid and can result in a loss smaller than one, equivalent to a signal gain. Therefore, the loss is set to unity for range values, R ≤ λ/4π.
When the origin and destination have relative motion, the processing also introduces a Doppler frequency shift. The frequency shift is v/λ for one-way propagation and 2v/λ for two-way propagation. The quantity v is the relative speed of the destination with respect to the origin.
For more details on free space channel propagation, see [5].
Atmospheric Gas Attenuation Model
This model calculates the attenuation of signals that propagate through atmospheric gases.
Electromagnetic signals attenuate when they propagate through the atmosphere. This effect is due primarily to the absorption resonance lines of oxygen and water vapor, with smaller contributions coming from nitrogen gas. The model also includes a continuous absorption spectrum below 10 GHz. The ITU model Recommendation ITU-R P.676-10: Attenuation by atmospheric gases is used. The model computes the specific attenuation (attenuation per kilometer) as a function of temperature, pressure, water vapor density, and signal frequency. The atmospheric gas model is valid for frequencies from 1–1000 GHz and applies to polarized and nonpolarized fields.
The formula for specific attenuation at each frequency is
The quantity N"() is the imaginary part of the complex atmospheric refractivity and consists of a spectral line component and a continuous component:
The spectral component consists of a sum of discrete spectrum terms composed of a localized frequency bandwidth function, F(f)i, multiplied by a spectral line strength, Si. For atmospheric oxygen, each spectral line strength is
For atmospheric water vapor, each spectral line strength is
P is the dry air pressure, W is the water vapor partial pressure, and T is the ambient temperature. Pressure units are in hectoPascals (hPa) and temperature is in degrees Kelvin. The water vapor partial pressure, W, is related to the water vapor density, ρ, by
The total atmospheric pressure is P + W.
For each oxygen line, Si depends on two parameters, a1 and a2. Similarly, each water vapor line depends on two parameters, b1 and b2. The ITU documentation cited at the end of this section contains tabulations of these parameters as functions of frequency.
The localized frequency bandwidth functions Fi(f) are complicated functions of frequency described in the ITU references cited below. The functions depend on empirical model parameters that are also tabulated in the reference.
This model applies to both narrowband and wideband atmospheric attenuation. To compute the total attenuation for narrowband signals along a path, the function multiplies the specific attenuation by the path length, R. Then, the total attenuation is Lg= R(γo + γw). To apply the attenuation model to wideband signals, first, divide the wideband signal into frequency subbands, and apply attenuation to each subband. Then, sum all attenuated subband signals into the total attenuated signal.
Fog and Cloud Attenuation Model
This model calculates the attenuation of signals that propagate through fog or clouds.
Fog and cloud attenuation are due to the same atmospheric phenomenon. The ITU model, Recommendation ITU-R P.840-6: Attenuation due to clouds and fog is used. The model computes the specific attenuation (attenuation per kilometer), of a signal as a function of liquid water density, signal frequency, and temperature. The model applies to polarized and nonpolarized fields. The formula for specific attenuation at each frequency is
where M is the liquid water density in gm/m3. The quantity Kl(f) is the specific attenuation coefficient and depends on frequency. The cloud and fog attenuation model is valid for frequencies 10–1000 GHz. Units for the specific attenuation coefficient are (dB/km)/(g/m3).
To compute the total attenuation for narrowband signals along a path, the function multiplies the specific attenuation by the path length R. Total attenuation is Lc = Rγc. You can also apply the attenuation model to wideband signals. First, divide the wideband signal into frequency subbands, and apply narrowband attenuation to each subband. Then, sum all attenuated subband signals into the total attenuated signal.
Rainfall Attenuation Model
This model calculates the attenuation of signals that propagate through regions of rainfall. Rain attenuation is a dominant fading mechanism and can vary from location-to-location and from year-to-year.
Electromagnetic signals are attenuated when propagating through a region of rainfall. Rainfall attenuation is computed according to the ITU rainfall model Recommendation ITU-R P.838-3: Specific attenuation model for rain for use in prediction methods. The model computes the specific attenuation (attenuation per kilometer) of a signal as a function of rainfall rate, signal frequency, polarization, and path elevation angle. The specific attenuation, ɣR, is modeled as a power law with respect to rain rate
where R is rain rate. Units are in mm/hr. The parameter k and exponent α depend on the frequency, the polarization state, and the elevation angle of the signal path. The specific attenuation model is valid for frequencies from 1–1000 GHz.
To compute the total attenuation for narrowband signals along a path, the function multiplies the specific attenuation by the an effective propagation distance, deff. Then, the total attenuation is L = deffγR.
The effective distance is the geometric distance, d, multiplied by a scale factor
where f is the frequency. The article Recommendation ITU-R P.530-17 (12/2017): Propagation data and prediction methods required for the design of terrestrial line-of-sight systems presents a complete discussion for computing attenuation.
The rain rate, R, used in these computations is the long-term statistical rain rate, R0.01. This is the rain rate that is exceeded 0.01% of the time. The calculation of the statistical rain rate is discussed in Recommendation ITU-R P.837-7 (06/2017): Characteristics of precipitation for propagation modelling. This article also explains how to compute the attenuation for other percentages from the 0.01% value.
You can also apply the attenuation model to wideband signals. First, divide the wideband signal into frequency subbands and apply attenuation to each subband. Then, sum all attenuated subband signals into the total attenuated signal.
Subband Frequency Processing
Subband processing decomposes a wideband signal into multiple subbands and applies narrowband processing to the signal in each subband. The signals for all subbands are summed to form the output signal.
When using wideband frequency System objects or blocks, you specify the number of subbands, NB, in which to decompose the wideband signal. Subband center frequencies and widths are automatically computed from the total bandwidth and number of subbands. The total frequency band is centered on the carrier or operating frequency, fc. The overall bandwidth is given by the sample rate, fs. Frequency subband widths are Δf = f s/NB. The center frequencies of the subbands are
Some System objects let you obtain the subband center frequencies as output when you run the object. The returned subband frequencies are ordered consistently with the ordering of the discrete Fourier transform. Frequencies above the carrier appear first, followed by frequencies below the carrier.
The phased.WidebandLOSChannel
System object uses narrowband time delay and attenuation algorithms for each
subband.
References
[1] Radiocommunication Sector of the International Telecommunication Union. Recommendation ITU-R P.676-10: Attenuation by atmospheric gases. 2013.
[2] Radiocommunication Sector of the International Telecommunication Union. Recommendation ITU-R P.840-6: Attenuation due to clouds and fog. 2013.
[3] Radiocommunication Sector of the International Telecommunication Union. Recommendation ITU-R P.838-3: Specific attenuation model for rain for use in prediction methods. 2005.
[4] Seybold, J. Introduction to RF Propagation. New York: Wiley & Sons, 2005.
[5] Skolnik, M. Introduction to Radar Systems, 3rd Ed. New York: McGraw-Hill, 2001.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Usage notes and limitations:
See System Objects in MATLAB Code Generation (MATLAB Coder).
Version History
Introduced in R2016a
See Also
Functions
rangeangle
|fogpl
|gaspl
|rainpl
|fspl
Objects
phased.FreeSpace
|phased.RadarTarget
|phased.BackscatterRadarTarget
|twoRayChannel
(Radar Toolbox) |phased.WidebandFreeSpace
|phased.LOSChannel
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