MIL-188 QAM Demodulator Baseband
MIL-STD-188-110 B/C standard-specific quadrature amplitude demodulation
Communications Toolbox / Modulation / Digital Baseband Modulation / AM
Communications Toolbox / Modulation / Digital Baseband Modulation / Standard-Compliant
The MIL-188 QAM Demodulator Baseband block demodulates the input signal using MIL-STD-188-110 standard-specific quadrature amplitude modulation (QAM). For a description of MIL-STD-188 compliant demodulation, see MIL-STD-188-110 QAM Hard Demodulation and MIL-STD-188-110 QAM Soft Demodulation.
This icon shows the block with all ports enabled:
Demodulate Noisy MIL-STD-188 QAM Signal
Apply MIL-STD-188 QAM modulation to a signal of random data. Pass the modulated signal through an AWGN channel. Demodulate the noisy MIL-STD-188 QAM signal. Check the bit error rate (BER).
slex_mil188_qam_demod model with the EbN0 of the AWGN channel block set to 6 dB. The results are saved to the base workspace variable
ErrorVec in a 1-by-3 row vector. The first element contains the BER.
With EbN0 set to 6 dB, BER: 0.636
Change the EbN0 of the AWGN channel block to 10 dB. Run the model and observe the decrease in BER.
With EbN0 set to 10 dB, BER: 0.545
In — MIL-STD-188 standard-specific QAM modulated signal
scalar | vector | matrix
MIL-STD-188 standard-specific QAM modulated signal, specified as a
scalar, vector, or matrix. When this input is a matrix, each column is
treated as an independent channel. This port is unnamed until the
Var port is enabled.
Complex Number Support: Yes
Var — Noise variance
positive scalar | vector of positive values
Noise variance, specified as a positive scalar or vector of positive values. When the noise variance or signal power result in computations involving extreme positive or negative magnitudes, see MIL-STD-188-110 QAM Soft Demodulation for demodulation decision type considerations.
To enable this port set the Noise variance source parameter to
Out — Demodulated signal
scalar | vector | matrix
Demodulated signal, returned as a scalar, vector, or matrix. The dimensions of the demodulated signal depend on the specified Output type and Decision type parameter values. This port is unnamed on the block.
|Output type||Decision type||Demodulated Signal Description||Dimensions of Demodulated Signal|
|—||Demodulated integer values in the range [0, (M – 1)]||The output signal has the same dimensions as input signal.|
|Demodulated bits||The number of rows in the output signal is log2(M) times the number of rows in the input signal. Each demodulated symbol is mapped to a group of log2(M) elements in a column, where the first element represents the MSB, and the last element represents the LSB.|
|Log-likelihood ratio value for each bit|
|Approximate log-likelihood ratio value for each bit|
M is the value of Modulation order.
Use Output data type to specify the output data type.
To edit block parameters interactively, use the Property Inspector. From the Simulink® Toolstrip, on the Simulation tab, in the Prepare gallery, select Property Inspector.
Modulation order — Modulation order
16 (default) |
Modulation order, M, specified as
modulation order specifies the total number of points in the constellation
of the input signal.
Constellation scaling — Constellation scaling
As specified in
standard (default) |
Unit average power
Constellation scaling preference, specified as:
As specified in standard– The block scales the constellation based on specifications in the relevant standard .
Unit average power– The block scales the constellation to an average power of 1 watt referenced to 1 ohm.
Output type — Input type
Integer (default) |
Output type, specified as
Bit. To use
Integer, the input signal must consist of
integers in the range [0, (M – 1)]. To use
Bit, the input signal
must contain binary values, and the number of rows must be an integer
multiple of log2(M), where M is the Modulation
Decision type — Demodulation decision type
Hard decision (default) |
Log-likelihood ratio |
Approximate log-likelihood ratio
Noise variance source — Noise variance source
Property (default) |
Noise variance — Noise variance
1 (default) | positive scalar | vector of positive values
Noise variance, specified as a positive scalar or vector of positive values.
When specified as a scalar, that value is used on all elements in the input signal.
When specified as a vector, the vector length must be equal to the number of columns in the input signal. Each noise variance vector element is applied to its corresponding column in the input signal.
When the noise variance or signal power result in computations involving extreme positive or negative magnitudes, see MIL-STD-188-110 QAM Soft Demodulation for demodulation decision type considerations.
Output data type — Output data type
double (default) |
|Output type||Decision type||Output data type Options|
|The output signal is the same data type as the input signal.|
Simulate using — Type of simulation to run
Interpreted execution (default) |
Type of simulation to run, specified as
Interpreted execution— Simulate the model by using the MATLAB® interpreter. This option requires less startup time, but the speed of subsequent simulations is slower than with the
Code generationoption. In this mode, you can debug the source code of the block.
Code generation— Simulate the model by using generated C code. The first time you run a simulation, Simulink generates C code for the block. The model reuses the C code for subsequent simulations unless the model changes. This option requires additional startup time, but the speed of the subsequent simulations is faster than with the
For more information, see Simulation Modes (Simulink).
MIL-STD-188-110 is a US Department of Defense standard for HF communications using serial PSK mode of both data and voice signals.
The standard specifies physical layer modulation schemes for tactical and long-haul communications. The modulation scheme specified by the standard is a mix of QAM and APSK. For a detailed description of the modulation scheme, see .
MIL-STD-188-110 QAM Hard Demodulation
The hard demodulation algorithm uses optimum decision region-based demodulation. Since all the constellation points are equally probable, maximum a posteriori probability (MAP) detection reduces to a maximum likelihood (ML) detection. The ML detection rule is equivalent to choosing the closest constellation point to the received symbol. The decision region for each constellation point is designed by drawing perpendicular bisectors between adjacent points. A received symbol is mapped to the proper constellation point based on which decision region it lies in.
Since all MIL-STD constellations are quadrant-based symmetric, for each symbol the optimum decision region-based demodulation:
Maps the received symbol into the first quadrant
Chooses the decision region for the symbol
Maps the constellation point back to its original quadrant using the sign of real and imaginary parts of the received symbol
MIL-STD-188-110 QAM Soft Demodulation
For soft demodulation, two soft-decision log-likelihood ratio (LLR) algorithms are available: exact LLR and approximate LLR. The exact LLR algorithm is more accurate but has slower execution speed than the approximate LLR algorithm. For further description of these algorithms, see the Hard- vs. Soft-Decision Demodulation topic.
The exact LLR algorithm computes exponentials using finite precision arithmetic. For computations involving very large positive or negative magnitudes, the exact LLR algorithm yields:
-Infif the noise variance is a very large value
NaNif the noise variance and signal power are both very small values
The approximate LLR algorithm does not compute exponentials. You can avoid
NaN results by using
the approximate LLR algorithm.
For faster execution of the MIL-188 QAM Demodulator Baseband block, set the Simulate using parameter to:
Code generationwhen using hard decision demodulation.
Interpreted executionwhen using soft decision demodulation.
 MIL-STD-188-110B & C: "Interoperability and Performance Standards for Data Modems." Department of Defense Interface Standard, USA.
C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.
Introduced in R2018b