SISO Fading Channel
Filter input signal through SISO multipath fading channel
 Library:
Communications Toolbox / Channels
Description
The SISO Fading Channel block filters an input signal using a singleinput/singleoutput (SISO) multipath fading channel. This block models both Rayleigh and Rician fading. For processing details, see the Algorithms section.
Ports
Input
in
— Input data signal
vector
Input data signal, specified as an N_{S}by1 vector. N_{S} represents the number of samples in the input signal.
Data Types: double
 single
Complex Number Support: Yes
Output
Out1
— Output data signal for fading channel
vector
Output data signal for the fading channel, returned as an N_{S}by1 vector. N_{S} represents the number of samples in the input signal.
Gain
— Discrete path gains
matrix
Discrete path gains of the underlying fading process, returned as an N_{S}byN_{P} matrix.
N_{S} represents the number of samples in the input signal.
N_{P} represents the number of channel paths.
Dependencies
To enable this port, on the Main tab, select Output channel path gains.
Delay
— Channel filter delay
scalar
Channel filter delay, returned as a scalar.
Dependencies
To enable this port, on the Main tab, select Output channel filter delay.
Parameters
Main Tab
Multipath parameters (frequency selectivity)Inherit sample rate from input
— Option to inherit the sample rate from input
on (default)  off
Select this parameter to use the sample rate of the input signal when processing. When
Inherit sample rate from input
is selected, the sample rate is
N_{S}/T_{S},
where N_{S} is the number of input samples, and
T_{S} is the model sample time.
Sample rate (Hz)
— Input signal sample rate
1
(default)  positive scalar
Input signal sample rate in hertz, specified as a positive scalar. To match the model settings, set the sample rate to N_{S}/T_{S}, where N_{S} is the number of input samples, and T_{S} is the model sample time.
Dependencies
This parameter appears when Inherit sample rate from input is not selected.
Data Types: double
Discrete path delays (s)
— Delays for each discrete path
0
(default)  nonnegative scalar  row vector
Delays for each discrete path in seconds, specified as a nonnegative scalar or row vector.
When you set Discrete path delays (s) to a scalar, the SISO channel is frequency flat.
When you set Discrete path delays (s) to a vector, the SISO channel is frequency selective.
Data Types: double
Average path gains (dB)
— Average gain for each discrete path
0
(default)  scalar  row vector
Average gain for each discrete path in decibels, specified as a scalar or row vector. Average path gains (dB) must have the same size as Discrete path delays (s).
Data Types: double
Normalize average path gains to 0 dB
— Option to normalize average path gains to 0 dB
on (default)  off
Select this parameter to normalize the fading processes so that the total power of the path gains, averaged over time, is 0 dB.
Fading distribution
— Fading distribution of channel
Rayleigh
(default)  Rician
Select the fading distribution of the channel, either
Rayleigh
or Rician
.
Kfactors
— Kfactor of Rician fading channel
3
(default)  positive scalar  row vector of nonnegative values
Kfactor of a Rician fading channel, specified as a positive scalar or a 1byN_{P} vector of nonnegative values. N_{P} equals the value of the Discrete path delays (s) parameter.
If you set Kfactors to a scalar, the first discrete path is a Rician fading process with a Rician Kfactor of Kfactors. Any remaining discrete paths are independent Rayleigh fading processes.
If you set Kfactors to a row vector, the discrete path corresponding to a positive element of the Kfactors vector is a Rician fading process with a Rician Kfactor specified by that element. The discrete path corresponding to any zerovalued elements of the Kfactors vector are Rayleigh fading processes. At least one element value must be nonzero.
Dependencies
This parameter appears when Fading distribution is Rician
.
Data Types: double
LOS path Doppler shifts (Hz)
— Doppler shifts for lineofsight components
0
(default)  scalar  row vector
Doppler shifts for the lineofsight components of the Rician fading channel in hertz, specified as a scalar or row vector. This parameter must have the same size as Kfactors.
If you set LOS path Doppler shifts (Hz) to a scalar, it represents the lineofsight component Doppler shift of the first discrete path that is a Rician fading process.
If you set LOS path Doppler shifts (Hz) to a row vector, the discrete path that is a Rician fading process has its lineofsight component Doppler shift specified by the elements of LOS path Doppler shifts (Hz) that correspond to positive elements in the Kfactors vector.
Dependencies
This parameter appears when Fading distribution is Rician
.
Data Types: double
LOS path initial phases (rad)
— Initial phases for lineofsight components
0
(default)  scalar  row vector
Initial phases for the lineofsight component of the Rician fading channel in radians, specified as a scalar or row vector. This parameter must have the same size as Kfactors.
If you set LOS path initial phases (rad) to a scalar, it is the lineofsight component initial phase of the first discrete path that is a Rician fading process.
If you set LOS path initial phases (rad) to a row vector, the discrete path that is a Rician fading process has its lineofsight component initial phase specified by the elements of LOS path initial phases (rad) that correspond to positive elements in the Kfactors vector.
Dependencies
This parameter appears when Fading distribution is Rician
.
Data Types: double
Maximum Doppler shift (Hz)
— Maximum Doppler shift for all channel paths
0.001
(default)  nonnegative scalar
Maximum Doppler shift for all channel paths in hertz, specified as a nonnegative scalar.
Maximum Doppler shift (Hz) must be smaller than (f_{s}/10)/f_{c} for each path. f_{s} is the sampling rate at the input to the SISO Fading Channel block. f_{c} is the cutoff frequency factor of the path. For more information, see Cutoff Frequency Factor.
Data Types: double
Doppler spectrum
— Doppler spectrum shape for all channel paths
doppler('Jakes')
(default)  doppler('Flat')
 doppler('Rounded', ...)
 doppler('Bell', ...)
 doppler('Asymmetric Jakes', ...)
 doppler('Restricted Jakes', ...)
 doppler('Gaussian', ...)
 doppler('BiGaussian', ...)
Doppler spectrum shape for all channel paths, specified as a single Doppler spectrum
structure returned from the doppler
function or a
1byN_{P} cell array of such structures. The default
value of this parameter is the Jakes Doppler spectrum (doppler('Jakes')
).
If you assign a single call to
doppler
, all paths have the same specified Doppler spectrum.If you assign a 1byN_{P} cell array of calls to
doppler
using any of the specified syntaxes, each path has the Doppler spectrum specified by the corresponding Doppler spectrum structure in the array. In this case, N_{P} equals the value of the Discrete path delays (s) parameter.
Dependencies
This parameter applies when Maximum Doppler shift (Hz) is greater than zero.
Initial seed
— Random number generator initial seed
73
(default)  nonnegative integer
Random number generator initial seed for this block, specified as a nonnegative integer.
Output channel path gains
— Option to output channel path gains
off (default)  on
Select this parameter to add the Gain output port to the block and output the channel path gains of the underlying fading process.
Output channel filter delay
— Option to output channel filter delay
off (default)  on
Select this parameter to add the Delay output port to the block and output the channel filter delay of the underlying fading process.
Simulate using
— Compilation type
Interpreted execution
(default)  Code generation
Compilation type, specified as Interpreted execution
or
Code generation
.
Interpreted execution
— Simulate model using the MATLAB^{®} interpreter. This option shortens startup time but has slower simulation speed thanCode generation
.Code generation
— Simulate model using generated C code. The first time you run a simulation, Simulink^{®} generates C code for the block. The C code is reused for subsequent simulations, as long as the model does not change. This option requires additional startup time but provides faster simulation speed thanInterpreted execution
.
Visualization Tab
Channel visualization
— Select the channel visualization
Off
(default)  Impulse response
 Frequency response
 Doppler spectrum
 Impulse and frequency responses
Select the channel visualization: Off
, Impulse
response
, Frequency response
, Doppler
spectrum
, or Impulse and frequency responses
. When
visualization is on, the selected channel characteristics, such as impulse response or
Doppler spectrum, display in a separate window. For more information, see Channel
Visualization.
Percentage of samples to display
— Percentage of samples to display
25%
(default)  10%
 50%
 100%
Select the percentage of samples to display: 10%
,
25%
, 50%
, or
100%
. Increasing the percentage improves display accuracy at the
expense of simulation speed.
Dependencies
This parameter appears when Channel visualization is Impulse response
,
Frequency response
, or Impulse and frequency
responses
.
Path for Doppler spectrum display
— Path for which Doppler spectrum is displayed
1
(default)  positive integer
Path for which the Doppler spectrum is displayed, specified as a positive integer from 1 to N_{P}, where N_{P} equals the value of the Discrete path delays (s) parameter.
Dependencies
This parameter appears when Channel visualization is Doppler spectrum
.
Block Characteristics
Data Types 

Multidimensional Signals 

VariableSize Signals 

Algorithms
The fading process for the SISO channel is described in Methodology for Simulating Multipath Fading Channels.
Cutoff Frequency Factor
The cutoff frequency factor, f_{c}, is dependent on the type of Doppler spectrum.
For any Doppler spectrum type other than Gaussian and biGaussian, f_{c} equals 1.
For a
doppler
('Gaussian')
spectrum type, f_{c} equalsNormalizedStandardDeviation
$$\text{\hspace{0.17em}}\times \text{\hspace{0.17em}}\sqrt{2\mathrm{log}2}$$.For a
doppler
('BiGaussian')
spectrum type:If the
PowerGains
(1)
andNormalizedCenterFrequencies
(2)
field values are both0
, then f_{c} equalsNormalizedStandardDeviation
(1)
$$\text{\hspace{0.17em}}\times \text{\hspace{0.17em}}\sqrt{2\mathrm{log}2}$$.If the
PowerGains
(2)
andNormalizedCenterFrequencies
(1)
field values are both0
, then f_{c} equalsNormalizedStandardDeviation
(2)
$$\text{\hspace{0.17em}}\times \text{\hspace{0.17em}}\sqrt{2\mathrm{log}2}$$.If the
NormalizedCenterFrequencies
field value is[0,0]
and theNormalizedStandardDeviation
field has two identical elements, then f_{c} equalsNormalizedStandardDeviation
(1)
$$\text{\hspace{0.17em}}\times \text{\hspace{0.17em}}\sqrt{2\mathrm{log}2}$$.In all other cases, f_{c} equals 1.
References
[1] Oestges, C., and B. Clerckx. MIMO Wireless Communications: From RealWorld Propagation to SpaceTime Code Design. Academic Press, 2007.
[2] Correira, L. M. Mobile Broadband Multimedia Networks: Techniques, Models and Tools for 4G. Academic Press, 2006.
[3] Kermoal, J. P., L. Schumacher, K. I. Pedersen, P. E. Mogensen, and F. Frederiksen. "A stochastic MIMO radio channel model with experimental validation." IEEE Journal on Selected Areas of Communications. Vol. 20, Number 6, 2002, pp. 1211–1226.
[4] Jeruchim, M., P. Balaban, and K. S. Shanmugan. Simulation of Communication Systems. Second Edition. New York: Kluwer Academic/Plenum, 2000.
[5] Pätzold, Matthias, ChengXiang Wang, and Bjorn Olav Hogstand. "Two New SumofSinusoidsBased Methods for the Efficient Generation of Multiple Uncorrelated Rayleigh Fading Waveforms." IEEE Transactions on Wireless Communications. Vol. 8, Number 6, 2009, pp. 3122–3131.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.
Version History
See Also
Blocks
Functions
Objects
Topics
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