Time Varying Gain
Time varying gain (TVG) control
Library
Detection
phaseddetectlib
Description
The Time Varying Gain block applies a time varying gain to input signals to compensate for range loss at each range gate. Time varying gain (TVG) is sometimes called automatic gain control (AGC).
Parameters
- Source of range losses
Specify the range loss source as either
PropertyorInput PortPropertyRange losses are specified by the Range loss (dB) parameter. Input portRange losses are specified using the input port L.- Range loss (dB)
Specify the loss due to range as a vector — elements correspond to the samples in the input signal. Units are in dB
- Reference range loss (dB)
Specify the loss, in dB, at a given reference range as a scalar.
- Simulate using
Block simulation method, specified as
Interpreted ExecutionorCode Generation. If you want your block to use the MATLAB® interpreter, chooseInterpreted Execution. If you want your block to run as compiled code, chooseCode 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 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
Acceleratormode, the block mode specified using Simulate using overrides the simulation mode.Acceleration Modes
Block Simulation Simulation Behavior NormalAcceleratorRapid AcceleratorInterpreted ExecutionThe block executes using the MATLAB interpreter. The block executes using the MATLAB interpreter. Creates a standalone executable from the model. Code GenerationThe block is compiled. All blocks in the model are compiled. For more information, see Choosing a Simulation Mode (Simulink).
Ports
Note
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 |
|---|---|---|
In | Input 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. | Double-precision floating point |
L | Range loss. 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. | |
Out | Compensated signal. | Double-precision floating point |