Backscatter radar target
Environment and Targets
The Backscatter Radar Target block models the monostatic case of reflection of nonpolarized electromagnetic signals from a radar target. Target model includes all four Swerling target fluctuation models and non-fluctuating model. You can model several targets simultaneously by specifying multiple radar cross-section matrices.
Azimuth angles used to define the angular coordinates of the RCS pattern (m^2) parameter. Specify azimuth angles as a length P vector. Units are degrees. P must be greater than two. This parameter determines the incident azimuthal arrival angle of any element of the cross-section patterns.
Elevation angles used to define the angular coordinates of the RCS pattern (m^2) parameter. Specify elevation angles as a length Q vector. Units are degrees. Q must be greater than two. This parameter determines the incident elevation arrival angle of any element of the cross-section patterns.
Radar cross-section pattern, specified as a Q-by-P complex-valued matrix or a Q-by-P-by-M complex-valued array.
Q is the length of the vector in the Elevation angles (deg) parameter.
P is the length of the vector in the Azimuth angles (deg) parameter.
M is the number of target patterns.
The number of patterns corresponds to the number of signals passed
into the input port
X. You can, however, use a
single pattern to model multiple signals reflecting from a single
You can, however, use a single pattern to model multiple signals reflecting from a single target. Pattern units are square-meters.
Pattern units are square-meters.
Specify the statistical model of the target as either
Swerling4. When you set this parameter to a
value other than
Nonfluctuating, you then set radar
cross-sections parameters using the
Specify the propagation speed of the signal, in meters per second,
as a positive scalar. You can use the function
physconst to specify the speed of light.
Specify the carrier frequency of the signal that reflects from the target, as a positive scalar in hertz.
Block simulation method, specified as
Interpreted Execution or
Generation. If you want your block to use the MATLAB® interpreter,
Interpreted Execution. If you want your
block to run as compiled code, choose
Compiled code requires time to compile but usually runs faster.
Interpreted execution is useful when you are developing and
tuning a model. The block runs the underlying System
object™ in MATLAB.
You can change and execute your model quickly. When you are satisfied
with your results, you can then run the block using
Generation. Long simulations run faster than they would
in interpreted execution. You can run repeated executions without
recompiling. However, if you change any block parameters, then the
block automatically recompiles before execution.
When setting this parameter, you must take into account the overall model simulation mode. The table shows how the Simulate using parameter interacts with the overall simulation mode.
When the Simulink® model is in
the block mode specified using Simulate using overrides
the simulation mode.
|Block Simulation||Simulation Behavior|
|The block executes using the MATLAB interpreter.||The block executes using the MATLAB interpreter.||Creates a standalone executable from the model.|
|The block is compiled.||All blocks in the model are compiled.|
The block input and output ports correspond to the input and
output parameters described in the
step method of
the underlying System
object. See link at the bottom of this page.
|Port||Description||Supported Data Types|
The size of the first dimension of this input matrix can vary to simulate a changing signal length, such as a pulse waveform with variable pulse repetition frequency.
|Double-precision floating point|
|Incident angle||Double-precision floating point|
|Update RCS at block execution.||Double-precision floating point|
|Scattered signal||Double-precision floating point|