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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 Property or Input Port

PropertyRange 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 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 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 Accelerator mode, the block mode specified using Simulate using overrides the simulation mode.

Acceleration Modes

Block SimulationSimulation Behavior
NormalAcceleratorRapid Accelerator
Interpreted 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) from the Simulink documentation.

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.

PortDescriptionSupported Data Types
In

Input signal.

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
L

Range loss.

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.

 
Out

Compensated signal.

Double-precision floating point

Introduced in R2014b

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