Radar Target
Radar target
Libraries:
Phased Array System Toolbox /
Environment and Target
Description
The Radar Target block models a radar target that reflects the signal according to the specified radar cross section (RCS). The block supports a non-fluctuating target model and all four Swerling target models. The block does not support polarized signals.
Ports
Input
X — Incident signal
complex-valued N-by-1 column
vector | complex-valued N-by-M
matrix
Incident signal, specified as a complex-valued N-by-1 column vector or complex-valued N-by-M matrix. The value M is the number of signals. Each signal corresponds to a different target. The value N is the number of samples in each signal.
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.
Data Types: double
RCS — Mean radar cross-section
nonnegative scalar | 1-by-M row vector of nonnegative values
Mean radar cross-section, specified as nonnegative scalar or 1-by-M row vector of nonnegative values. M is the number of targets. This parameter applies to fluctuating and non-fluctuating targets. If you specify M incident signals, you can specify the radar cross-section as a scalar or as a 1-by-M vector. For a scalar, the same value will be applied to all signals. Units are in m².
Dependencies
To enable this port, set the Source of mean radar cross
section pull down menu to Input
port
.
Data Types: double
Update — Indicator to update radar cross-section
0 | 1
Indicator to update radar cross-section for fluctuating targets, specified as 0 or 1. When set to 0, the radar cross-section is constant. When set to 1, the radar cross-section fluctuates.
Dependencies
To enable this port, set the Fluctuation
model pull down menu to anything except
Nonfluctuating
.
Data Types: double
Output
Out — Reflected signal
complex-valued N-by-1 column
vector | complex-valued N-by-M
matrix
Reflected signal, returned as a complex-valued N-by-1 column vector or complex-valued N-by-M matrix. The value M is the number of signals. Each signal corresponds to a different target. The value N is the number of samples in each signal.
Parameters
Source of mean radar cross section — Source of mean radar cross section
Property
(default) | Input port
Specify whether the target’s mean radar cross-section (RCS) value comes from the Mean radar cross section parameter of this block or from an input port. Values of this parameter are
Property
| The Mean radar cross section parameter for this block specifies the mean RCS value. |
Input port
| Choosing this value creates the RCS
input port to specify the mean radar cross-section. |
Mean radar cross section (m^2) — Mean radar cross section
1
Specify the mean value of the target's radar cross section, in square
meters, as a nonnegative scalar. This parameter appears only when the
Source of mean radar cross section parameter is set
to Property
.
Fluctuation model — Fluctuation model
Nonfluctuating
(default) | Swerling1
| Swerling2
| Swerling3
| Swerling4
Specify the statistical model of the target as one of
Nonfluctuating
,
Swerling1
,
Swerling2
,
Swerling3
, or
Swerling4
. Setting this parameter to a value
other than Nonfluctuating
, allows setting
cross-sections parameters via an input port,
Update
.
Propagation speed (m/s) — Signal propagation speed
physconst('LightSpeed')
(default) | positive scalar
Signal propagation speed, specified as a real-valued positive scalar. The default
value of the speed of light is the value returned by
physconst('LightSpeed')
.
Data Types: double
Operating frequency (Hz) — Operating frequency
3e8
(default) | positive real scalar
Specify the carrier frequency of the signal that reflects from the target, as a positive scalar in hertz.
Simulate using — Block simulation method
Interpreted Execution
(default) | Code Generation
Block simulation, specified as Interpreted Execution
or
Code Generation
. If you want your block to use the
MATLAB® interpreter, choose Interpreted Execution
. If
you want your block to run as compiled code, choose Code
Generation
. 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 Code
Generation
. Long simulations run faster with generated code than in
interpreted execution. You can run repeated executions without recompiling, but if you
change any block parameters, then the block automatically recompiles before
execution.
This table shows how the Simulate using parameter affects the overall simulation behavior.
When the Simulink® model is in Accelerator
mode, the block mode specified
using Simulate using overrides the simulation mode.
Acceleration Modes
Block Simulation | Simulation Behavior | ||
Normal | Accelerator | Rapid Accelerator | |
Interpreted Execution | The block executes using the MATLAB interpreter. | The block executes using the MATLAB interpreter. | Creates a standalone executable from the model. |
Code Generation | The block is compiled. | All blocks in the model are compiled. |
For more information, see Choosing a Simulation Mode (Simulink).
Programmatic Use
Block
Parameter:SimulateUsing |
Type:enum |
Values:Interpreted
Execution , Code Generation |
Default:Interpreted
Execution |
Version History
Introduced in R2014b
See Also
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