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PM, in Digital Baseband sublibrary of Modulation
The QPSK Demodulator Baseband block demodulates a signal that was modulated using the quaternary phase shift keying method. The input is a baseband representation of the modulated signal.
The input must be a discrete-time complex signal. The input can be either a scalar or a frame-based column vector. The block accepts the data types double, single, and signed fixed-point (for both hard-decision modes and soft decision modes).
Hard-Decision QPSK Demodulator Signal Diagram for Trivial Phase Offset (odd multiple of )

Hard-Decision QPSK Demodulator Floating-Point Signal Diagram for Nontrivial Phase Offset

Hard-Decision QPSK Demodulator Fixed-Point Signal Diagram for Nontrivial Phase Offset

The exact LLR and approximate LLR cases (soft-decision) are described in Exact LLR Algorithm and Approximate LLR Algorithm in the Communications Toolbox User's Guide.

The phase of the zeroth point of the signal constellation.
Determines how the block maps each integer to a pair of output bits.
Determines whether the output consists of integers or bits.
If the Output type parameter is set to Integer and Constellation ordering is set to Binary, then the block maps the point
exp(jθ + jπm/2)
to m, where θ is the Phase offset parameter and m is 0, 1, 2, or 3.
The reference page for the QPSK Modulator Baseband block shows the signal constellations for the cases when Constellation ordering is set to either Binary or Gray.
If the Output type is set to Bit, then the output contains pairs of binary values if Decision type is set to Hard decision.
If the Decision type is set to Log-likelihood ratio or Approximate log-likelihood ratio, then the output contains bitwise LLR or approximate LLR values, respectively.
This field appears when Bit is selected in the drop-down list Output type.
Specifies the use of hard decision, LLR, or approximate LLR during demodulation. See Exact LLR Algorithm and Approximate LLR Algorithm in the Communications Toolbox User's Guide for algorithm details.
This field appears when Approximate log-likelihood ratio or Log-likelihood ratio is selected for Decision type.
When set to Dialog, the noise variance can be specified in the Noise variance field. When set to Port, a port appears on the block through which the noise variance can be input.
This parameter appears when the Noise variance source is set to Dialog and specifies the noise variance in the input signal. This parameter is tunable in normal mode, Accelerator mode and Rapid Accelerator mode.
If you use the Real-Time Workshop® rapid simulation (RSIM) target to build an RSIM executable, then you can tune the parameter without recompiling the model. This is useful for Monte Carlo simulations in which you run the simulation multiple times (perhaps on multiple computers) with different amounts of noise.
The LLR algorithm involves computing exponentials of very large or very small numbers using finite precision arithmetic and would yield:
Inf to -Inf if Noise variance is very high
NaN if Noise variance and signal power are both very small
In such cases, use approximate LLR, as its algorithm does not involve computing exponentials.
Data Types Pane for Hard-Decision

For bit outputs, when Decision type is set to Hard decision, the output data type can be set to 'Inherit via internal rule', 'Smallest unsigned integer', double, single, int8, uint8, int16, uint16, int32, uint32, or boolean.
For integer outputs, the output data type can be set to 'Inherit via internal rule', 'Smallest unsigned integer', double, single, int8, uint8, int16, uint16, int32, or uint32.
When this parameter is set to 'Inherit via internal rule' (default setting), the block will inherit the output data type from the input port. The output data type will be the same as the input data type if the input is a floating-point type (single or double). If the input data type is fixed-point, the output data type will work as if this parameter is set to 'Smallest unsigned integer'.
When this parameter is set to 'Smallest unsigned integer', the output data type is selected based on the settings used in the Hardware Implementation pane of the Configuration Parameters dialog box of the model.
If ASIC/FPGA is selected in the Hardware Implementation pane, and Output type is Bit, the output data type is the ideal minimum one-bit size, i.e., ufix(1). For all other selections, it is an unsigned integer with the smallest available word length large enough to fit one bit, usually corresponding to the size of a char (e.g., uint8).
If ASIC/FPGA is selected in the Hardware Implementation pane, and Output type is Integer, the output data type is the ideal minimum two-bit size, i.e., ufix(2). For all other selections, it is an unsigned integer with the smallest available word length large enough to fit two bits, usually corresponding to the size of a char (e.g., uint8).
This parameter only applies when the input is fixed-point and Phase
offset is not an odd multiple of
.
This can be set to Same word length as input or Specify word length, in which case a field is enabled for user input.
Data Types Pane for Soft-Decision

For bit outputs, when Decision type is set to Log-likelihood ratio or Approximate log-likelihood ratio, the output data type is inherited from the input (e.g., if the input is of data type double, the output is also of data type double).
M-PSK Demodulator Baseband, BPSK Demodulator Baseband, DQPSK Demodulator Baseband
![]() | Puncture | QPSK Modulator Baseband | ![]() |

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