Receiver

Receiver

Since R2024a

• 

Libraries:
Phased Array System Toolbox / Transmitters and Receivers

Description

Amplify an input signal with non-linear distortions and added noise.

Ports

Input

X — Received signal

complex-valued vector | complex-valued matrix

Received signal voltage, specified as a complex-valued vector or complex-valued matrix. The number of rows is equal to the number of samples.

If X is a vector, the number of rows in Y equals the number of rows in X.The number of columns in Y equals the number of channels in the receiver.

In the case where X is a vector, the number of channels is determined by the active parameters that indicate a channel number, such as Noise figure (dB), Reference temperature (K), Gain (dB) and Phase offset (degrees).

Receiver effects are applied to the signal in a fixed order although some effects can be omitted. The order in which effects are applied to the input signal:

• Input noise is when the Add noise to input signal check box is selected.

• System noise is added according to the method specified in Noise method parameter.

• Signal gain is applied according to the method specified in the Gain method parameter.

• Phase offset is added to the signal according to Phase offset (degrees) parameter.

Data Types: single | double
Complex Number Support: Yes

Output

Y — Amplified signal

complex-valued vector | complex-valued matrix

Amplified received signal voltage, returned as a complex-valued vector or complex-valued matrix. If X is a matrix, the size of y is equal to the size of X. The transformation is based on receiver characteristics, such as the gain, nonlinearity, and noise Power is calculated from signal voltage assuming a reference impedance of 1 Ohm.

Data Types: single | double
Complex Number Support: Yes

Parameters

To edit block parameters interactively, use the Property Inspector. From the Simulink^® Toolstrip, on the Simulation tab, in the Prepare gallery, select Property Inspector.

Noise

Add noise to input signal — Add noise to input signal

off (default) | on

Selected this check box to add noise it the input signal prior to applying receiver effects. The Input noise temperature (K) parameter determines the power of the added noise. The Sample rate (Hz) parameter determines the noise bandwidth.

Example: true

Data Types: Boolean

Input noise temperature (K) — Input noise temperature

290 (default) | positive scalar | length-N vector of positive values

Input noise temperature, specified as a positive scalar or length-N vector of positive values where N is the number of receiver channels. If the Input noise temperature (K) parameter is a scalar, the same value is applied to all channels. Units are in Kelvin degrees.

Example: 300

Dependencies

To enable this parameter, select the Input noise temperature (K) check box.

Data Types: single | double

Noise method — Noise method

None | Noise figure | Noise factor | Noise temperature

Method for defining the system noise, specified as None, Noise figure, Noise factor or Noise temperature.

• When set to None, no noise is applied.

• When set to Noise figure, the Noise figure (dB) parameter determines the noise level.

• When set to Noise temperature, the Input noise temperature (K) parameter determines the noise level.

• When set to Noise factor, the Noise factor parameter determines the noise level.

The noise bandwidth is derived from the input signal sample rate.

Example: Noise figure

Data Types: char | string

Noise figure (dB) — Noise figure

3 (default) | real scalar | length-N vector or real values

Receiver noise figure, specified as a real scalar or length-N vector of real values. N is the number of channels. If Noise figure (dB) is a scalar, the same value is applied to all channels. Noise is generated with respect to the temperature defined by the Reference temperature (K) parameter.

Dependencies

To enable this property, set the Noise method parameter to Noise figure.

Data Types: single | double

Noise factor — Noise factor

2 (default) | positive scalar | length-N vector of positive values

Receiver noise factor, specified as a positive scalar or length-N vector of positive values. N is the number of channels. If the Noise factor parameters is a scalar, the same value is applied to all channels. Noise is generated with respect to the temperature defined by the Reference temperature (K) parameter.

Dependencies

To enable this property, set the Noise method parameter to Noise factor.

Data Types: single | double

Reference temperature (K) — Reference temperature

290 (default) | positive scalar | length-N vector of positive values

Reference temperature, specified as a positive scalar or a length-N vector of positive values. N is the number of channels. If the Reference temperature (K) parameter is a scalar, the same value is applied to all channels.

Dependencies

To enable this property, set the Noise method parameter to Noise figure or Noise factor.

Data Types: single | double

Sample rate (Hz) — Sample rate

1e6 (default) | positive scalar

Sample rate of the input signal, specified as a positive scalar. Use this parameter to add noise to the signal. The Sample rate (Hz) parameter is only used to derive the noise bandwidth of the signal.

Dependencies

To enable this property, select the Add noise to input signal check box or set the Noise method parameter to Noise figure, Noise factor, or Noise temperature.

Data Types: single | double

Inherit sample rate — Inherit sample rate from upstream blocks

on (default) | off

Select this parameter to inherit the sample rate from upstream blocks. Otherwise, specify the sample rate using the Sample rate (Hz) parameter.

Data Types: Boolean

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

Gain

Gain method — Gain method

Linear (default) | Cubic polynomial | Lookup table

Method for applying gain to the received signal, specified as Linear, Cubic polynomial or Lookup table.

• When set to Linear, linear gain is applied.

• When set to Cubic polynomial, a cubic polynomial model is used to apply non-linear gain.

• When set to Lookup table, a lookup table is defined to directly specify output power and phase shift as a function of input power.

Data Types: char | string

Gain (dB) — Linear receiver gain

20 (default) | real scalar | length-N vector of real values

Linear receiver gain, specified as a real scalar or length-N vector of real values. N is the number of channels. If the Gain (dB) parameter is a scalar, the same value is applied to all channels. Units are in dB.

Dependencies

To enable this property, set the Gain method parameter to Linear or Cubic polynomial.

Data Types: single | double

Output IP3 (dBm) — Output IP3

Inf (default) | scalar | length-N vector of real values

Output IP3 specified as a scalar or length-N vector of real values. N is the number of channels. OIP3 expresses the non-linearity of the transmitter or receiver. OIP is also called the third-order intercept point. If OIP3 is a scalar, the same value is applied to all channels. See Nonlinearities and Noise in Idealized Baseband Amplifier Block (RF Blockset) for a detailed discussion of OIP3. Units are in dBm.

Dependencies

To enable this property, set the Gain method parameter to Cubic polynomial.

Data Types: single | double

Lookup table — Lookup table

[-25, 5, -1; -10, 20, -2; 0, 27, 5; 5, 28, 12] (default) | M-by-N real-valued matrix | M-by-N real-valued matrix

Lookup table, specified as a 3-by-M-by-N real-valued array. Specify AM/AM (in dB/dB) and AM/PM (in deg/dB) characteristics in a [Pin(dBm),Pout(dBm),Phase shift(degrees)]-by-M or [Pin(dBm),Pout(dBm),Phase shift(degrees)]-by-M-by-N matrix. M is the number of table entries and N is the number of channels. The matrix elements must be real. The column 1 input power must increase monotonically. There must be at least 3 rows in the table.

Dependencies

To enable this property, set the Gain method parameter to Lookup table.

Data Types: single | double

PhaseOffset

Phased offset (degrees) — Phase offset

0 (default) | scalar | length-N vector of real values

Phase offset, specified as a real scalar or length-N vector of real values. N is the number of channels. If Phase offset (degrees) is a scalar, the same value is applied to all channels. Units are in degrees.

Data Types: single | double

Randomization

Source of seed for random number generator — Source of seed for random number generator

Auto (default) | Property

Source of seed for random number generator, specified as Auto or Property. When source is Auto, the seed if generated automatically. When the source is Property, seed is set using the Seed for random number generator parameter.

Example: Property

Data Types: char | string

Seed for random number generator — Seed for random number generator

0 (default) | positive integer

Seed for random generator, specified as a positive integer.

Data Types: single | double

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.

Version History

Introduced in R2024a