phased.LOSChannel

Narrowband LOS propagation channel

Description

The phased.LOSChannel models the propagation of narrowband 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.LOSChannel to model the propagation of signals between multiple points simultaneously.

While the System object™ works for all frequencies, 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.LOSChannel 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.FreeSpace System object, the phased.LOSChannel System object supports two-way propagation.

To create and use a narrowband channel:

Create the phased.LOSChannel 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

Syntax

channel = phased.LOSChannel

channel = phased.LOSChannel(Name=Value)

Description

channel = phased.LOSChannel creates an LOS attenuating propagation channel System object, channel.

channel = phased.LOSChannel(Name=Value) creates a System object, 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,...,NameN=ValueN).

example

Properties

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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.

`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

`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 the NumSamples 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

Syntax

prop_sig = channel(sig,origin_pos,dest_pos,origin_vel,dest_vel)

Description

prop_sig = channel(sig,origin_pos,dest_pos,origin_vel,dest_vel) returns the resulting signal, prop_sig, when a narrowband 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.

example

Input Arguments

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`sig` — Narrowband signal
M-by-N complex-valued matrix | 1-by-N `struct` array containing complex-valued fields

Narrowband 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 LOS channels. Each channel corresponds to a source-destination pair.

Narrowband 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.
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.
Narrowband polarized signal. Specify sig as a 1-by-N struct array containing complex-valued fields. Each struct represents a polarized signal propagated along the line-of-sight path. Each struct element contains three M-by-1 complex-valued column vectors, sig.X, sig.Y, and sig.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.

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

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`prop_sig` — Narrowband propagated signal
M-by-N complex-valued matrix | 1-by-N `struct` array containing complex-valued fields

Narrowband signal, returned as a matrix or struct array, depending on whether signal is polarized or nonpolarized. The quantity M is the number of samples in the signal and N is the number of narrowband LOS channels. Each channel corresponds to a source-destination pair.

Narrowband nonpolarized scalar signal. prop_sig is an M-by-N complex-valued matrix.
Narrowband polarized scalar signal. prop_sig is a 1-by-N struct array containing complex-valued fields. Each struct element contains three M-by-1 complex-valued column vectors, sig.X, sig.Y, and sig.Z. These vectors represent the x, y, and z Cartesian components of the polarized signal.

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)

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Common to All System Objects

`step`	Run System object algorithm
`release`	Release resources and allow changes to System object property values and input characteristics
`reset`	Reset internal states of System object

Examples

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Propagate Signal in LOS Channel

Open Live Script

Propagate a sinusoidal signal in a line of sight (LOS) channel from a radar at (1000,0,0) meters to a target at (10000,4000,500) meters. Assume the signal propagates in medium fog specified by a liquid water density of 0.05 $g / m^{3}$ . Assume that the radar and the target are stationary. The signal carrier frequency is 10 GHz. The signal frequency is 500 Hz and the sample rate is 8.0 kHz.

Set up the transmitted signal.

fs = 8.0e3;
dt = 1/fs;
fsig = 500.0;
fc = 10.0e9;
t = [0:dt:.01];
sig = sin(2*pi*fsig*t);

Set the liquid water density and specify the LOS channel System object™.

lwd = 0.05;
channel = phased.LOSChannel('SampleRate',fs,'SpecifyAtmosphere',true,...
    'LiquidWaterDensity',lwd,'OperatingFrequency',fc);

Set the origin and destination of the signal.

xradar = [1000,0,0].';
vradar = [0,0,0].';
xtgt = [10000,4000,500].';
vtgt = [0,0,0].';

Propagate the signal from origin to destination and plot the result.

prog_sig = channel(sig.',xradar,xtgt,vradar,vtgt);
plot(t*1000,real(prog_sig))
grid
xlabel('Time (milliseconds)')
ylabel('Amplitude')

Figure contains an axes object. The axes object with xlabel Time (milliseconds), ylabel Amplitude contains an object of type line.

Propagate Polarized Wave in LOS Channel

Open Live Script

Propagate a polarized electromagnetic wave radiating from a short-dipole antenna element. The dipole is rotated 30° around the y-axis. Set the orientation of the local axis to coincide with the dipole. Assume the dipole radiates at 30.0 GHz. Propagate the signal toward a target approximately 10 km away.

Create the short-dipole antenna element and radiator System objects. Set the Polarization property to 'Combined' to generate polarized waves.

freq = 30.0e9;
c = physconst('LightSpeed');
antenna = phased.ShortDipoleAntennaElement('FrequencyRange',[100e6 40e9], ...
    'AxisDirection','Z');
radiator = phased.Radiator('Sensor',antenna, ...
    'PropagationSpeed',c, ...
    'OperatingFrequency',freq, ...
    'Polarization','Combined', ...
    'WeightsInputPort',false);

Create a signal to radiate. The signal envelope consists of several cycles of a 4 kHz sinusoid with amplitude set to unity. Set the sampling frequency to 1 MHz.

fsig = 4.0e3;
fs = 1.0e6;
t = [1:1000]/fs;
signal = sin(2*pi*fsig*t');
laxes = roty(30)*eye(3,3);

Use a phased.FreeSpace System object™ to propagate the field from the origin to the destination in free space.

fschannel = phased.FreeSpace('PropagationSpeed',c,...
    'OperatingFrequency',freq,...
    'TwoWayPropagation',false,...
    'SampleRate',fs);

Use a phased.LOSChannel System object to propagate the field from the origin to the destination in the LOS channel. Attenuation is due to atmospheric gases and fog.

loschannel = phased.LOSChannel('PropagationSpeed',c,...
    'OperatingFrequency',freq,...
    'TwoWayPropagation',false,...
    'SampleRate',fs,'SpecifyAtmosphere',true,'LiquidWaterDensity',0.5);

Set the signal origin, signal origin velocity, signal destination, and signal destination velocity.

source_pos = [0;0;0];
target_pos = [10000;200;0];
source_vel = [0;0;0];
target_vel = [0;0;0];
[~,radiatingAngles] = rangeangle(target_pos,source_pos,laxes);

Radiate the signal towards the target. The radiated signal is a struct containing the polarized field.

rad_sig = radiator(signal,radiatingAngles,laxes);

Propagate the signals to the target in free space.

prop_sig = fschannel(rad_sig,source_pos,target_pos,...
    source_vel,target_vel);

Propagate the signals to the target in the LOS channel.

prop_att_sig = loschannel(rad_sig,source_pos,target_pos,...
    source_vel,target_vel);

Plot the z-components of both the free-space and LOS-channel-propagated signals.

plot(1e6*t,real(prop_sig.Z),1e6*t,real(prop_att_sig.Z))
grid
xlabel('Time (\mu sec)')
legend('z_{fsp}','z_{los}')

$Figure contains an axes object. The axes object with xlabel Time ( mu blank sec) contains 2 objects of type line. These objects represent z_{fsp}, z_{los}.$

The LOS channel signal is attenuated as compared to the free-space signal.

More About

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Path Attenuation or Loss

Attenuation or path loss in the LOS channel consists of four components. L = L_fspL_gL_cL_r, where

L_fsp is the free space path attenuation
L_g is the atmospheric path attenuation
L_c is the fog and cloud path attenuation
L_r is the rain path attenuation

Each path attenuation is in magnitude units, not in dB.

Free-space Time Delay and Path 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)/L_fsp. The quantity τ is the signal delay and L_fsp 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

$L_{f s p} = \frac{{(4 π R)}^{2}}{λ^{2}},$

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

$γ = γ_{o} (f) + γ_{w} (f) = 0.1820 f N^{″} (f) .$

The quantity N"() is the imaginary part of the complex atmospheric refractivity and consists of a spectral line component and a continuous component:

$N^{″} (f) = \sum_{i} S_{i} F_{i} + {N^{″}}_{D}^{} (f)$

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, S_i. For atmospheric oxygen, each spectral line strength is

$S_{i} = a_{1} \times 10^{- 7} {(\frac{300}{T})}^{3} \exp [a_{2} (1 - (\frac{300}{T})] P .$

For atmospheric water vapor, each spectral line strength is

$S_{i} = b_{1} \times 10^{- 1} {(\frac{300}{T})}^{3.5} \exp [b_{2} (1 - (\frac{300}{T})] W .$

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

$W = \frac{ρ T}{216.7} .$

The total atmospheric pressure is P + W.

For each oxygen line, S_i 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 F_i(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 L_g= R(γ_o + γ_w). 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

$γ_{c} = K_{l} (f) M,$

where M is the liquid water density in gm/m³. The quantity K_l(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 L_c = Rγ_c. 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, ɣ_R, is modeled as a power law with respect to rain rate

$γ_{R} = k R^{α},$

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, d_eff. Then, the total attenuation is L = d_effγ_R.

The effective distance is the geometric distance, d, multiplied by a scale factor

$r = \frac{1}{0.477 d^{0.633} R_{0.01}^{0.073 α} f^{0.123} - 10.579 (1 - \exp (- 0.024 d))}$

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, R_0.01. 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.

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

phased.LOSChannel

Description

Creation

Syntax

Description

Properties

PropagationSpeed — Signal propagation speed physconst('LightSpeed') (default) | positive scalar

OperatingFrequency — Operating frequency 300e6 (default) | positive scalar

SpecifyAtmosphere — Enable atmospheric attenuation model false (default) | true

Temperature — Ambient temperature 15 (default) | real-valued scalar

Dependencies

DryAirPressure — Atmospheric dry air pressure 101.325e3 (default) | positive real-valued scalar

Dependencies

WaterVapourDensity — Atmospheric water vapor density 7.5 (default) | positive real-valued scalar

Dependencies

LiquidWaterDensity — Liquid water density 0.0 (default) | nonnegative real-valued scalar

Dependencies

RainRate — Rainfall rate 0.0 (default) | nonnegative scalar

Dependencies

TwoWayPropagation — Enable two-way propagation false (default) | true

SampleRate — Sample rate of signal 1e6 (default) | positive scalar

MaximumDistanceSource — Source of maximum one-way propagation distance 'Auto' (default) | 'Property'

MaximumDistance — Maximum one-way propagation distance 10000 (default) | positive real-valued scalar

Dependencies

MaximumNumInputSamplesSource — Source of maximum number of samples 'Auto' (default) | 'Property'

Dependencies

MaximumNumInputSamples — Maximum number of input signal samples 100 (default) | positive integer

Dependencies

Usage

Syntax

Description

Input Arguments

sig — Narrowband signal M-by-N complex-valued matrix | 1-by-N struct array containing complex-valued fields

origin_pos — Signal origins 3-by-1 real-valued column vector | 3-by-N real-valued matrix

dest_pos — Signal destinations 3-by-1 real-valued column vector | 3-by-N real-valued matrix

origin_vel — Velocities of signal origins 3-by-1 real-valued column vector | 3-by-N real-valued matrix

dest_vel — Velocities of signal destinations 3-by-1 real-valued column vector | 3-by-N real-valued matrix

Output Arguments

prop_sig — Narrowband propagated signal M-by-N complex-valued matrix | 1-by-N struct array containing complex-valued fields

Object Functions

Common to All System Objects

Examples

Propagate Signal in LOS Channel

Propagate Polarized Wave in LOS Channel

More About

Path Attenuation or Loss

Free-space Time Delay and Path Loss

Atmospheric Gas Attenuation Model

Fog and Cloud Attenuation Model

Rainfall Attenuation Model

References

Extended Capabilities

C/C++ Code Generation Generate C and C++ code using MATLAB® Coder™.

Version History

See Also

Functions

Objects

`PropagationSpeed` — Signal propagation speed
`physconst('LightSpeed')` (default) | positive scalar

`OperatingFrequency` — Operating frequency
`300e6` (default) | positive scalar

`SpecifyAtmosphere` — Enable atmospheric attenuation model
`false` (default) | `true`

`Temperature` — Ambient temperature
`15` (default) | real-valued scalar

`DryAirPressure` — Atmospheric dry air pressure
`101.325e3` (default) | positive real-valued scalar

`WaterVapourDensity` — Atmospheric water vapor density
`7.5` (default) | positive real-valued scalar

`LiquidWaterDensity` — Liquid water density
`0.0` (default) | nonnegative real-valued scalar

`RainRate` — Rainfall rate
`0.0` (default) | nonnegative scalar

`TwoWayPropagation` — Enable two-way propagation
`false` (default) | `true`

`SampleRate` — Sample rate of signal
`1e6` (default) | positive scalar

`MaximumDistanceSource` — Source of maximum one-way propagation distance
`'Auto'` (default) | `'Property'`

`MaximumDistance` — Maximum one-way propagation distance
`10000` (default) | positive real-valued scalar

`MaximumNumInputSamplesSource` — Source of maximum number of samples
`'Auto'` (default) | `'Property'`

`MaximumNumInputSamples` — Maximum number of input signal samples
`100` (default) | positive integer

`sig` — Narrowband signal
M-by-N complex-valued matrix | 1-by-N `struct` array containing complex-valued fields

`origin_pos` — Signal origins
3-by-1 real-valued column vector | 3-by-N real-valued matrix

`dest_pos` — Signal destinations
3-by-1 real-valued column vector | 3-by-N real-valued matrix

`origin_vel` — Velocities of signal origins
3-by-1 real-valued column vector | 3-by-N real-valued matrix

`dest_vel` — Velocities of signal destinations
3-by-1 real-valued column vector | 3-by-N real-valued matrix

`prop_sig` — Narrowband propagated signal
M-by-N complex-valued matrix | 1-by-N `struct` array containing complex-valued fields

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.