Time Varying Gain
Time varying gain (TVG) control
Libraries:
Phased Array System Toolbox /
Detection
Description
The Time Varying Gain block applies a time-varying gain to input signals to compensate for geometric range loss at each range gate. Time varying gain (TVG) is sometimes called automatic gain control (AGC).
Examples
Simulating Test Signals for a Radar Receiver in Simulink
Model an end-to-end monostatic radar using Simulink®. A monostatic radar consists of a transmitter colocated with a receiver. The transmitter generates a pulse which hits the target and produces an echo received by the receiver. By measuring the time location of the echoes, you can estimate the range of the target. The first part of this example demonstrates how to detect the range of a single target using the equivalent of a single element antenna. The second part of the example will show how to build a monostatic radar with a 4-element uniform linear array (ULA) that detects the range of 4 targets.
Ports
Input
Port_1 — Input signal
vector | matrix | array
Input signal, specified as a vector, matrix, or array.
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
| single
Port_2 — Range loss
column vector
Range loss, specified as a column vector. The length of the vector must be equal to or greater than the number of rows in the input signal in Port_1.
The process equalizes power levels across all samples to match a given reference range. The gain is applied to each column in Port_1 independently. The number of rows in Port_1 cannot exceed the length of the loss vector specified in the Range losses (dB) parameter.
Dependencies
To enable this port, set Source of range
losses parameter to Input
port
.
Data Types: double
| single
Output
Port_1 — Range-compensated signal
vector | matrix | array
Range-compensated signal, returned as a vector, matrix, or array. The range-compensated signal has the same size as the input signal.
Data Types: double
| single
Parameters
Source of range losses — Source of range loss
Property
(default) | Input Port
Source of range loss, specified as Property
or
Input Port
.
Property
| Specify range losses using the Range loss (dB) parameter. |
Input port
| Specify range losses using the input port Port_2 . |
Data Types: char
| string
Range losses (dB) — Loss at each input sample range
0
(default) | vector
Loss at each input sample range, specified as a vector. Vector elements correspond to the samples in the input signal. Units are in dB.
Dependencies
To enable this parameter, set the Source of range
losses parameter to Input port
.
Data Types: double
| single
Reference range loss (dB) — Loss at reference range
0
(default) | scalar
Loss at the given reference range, specified as a scalar. Units are in dB.
Data Types: double
| single
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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