imtoolkit.SemiUnitaryDifferentialMLDSimulator module¶
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class
imtoolkit.SemiUnitaryDifferentialMLDSimulator.SemiUnitaryDifferentialMLDSimulator(codes, channel)[source]¶ Bases:
imtoolkit.Simulator.SimulatorA simulator that relies on the non-coherent maximum likelihood detector, where semi-unitary matrices are used for differential encoding and decdoing. The semi-unitary matrix is defined by $U U^H = lpha I_M$ and $lpha in mathbb{R}$. The environment variable USECUPY determines whether to use cupy or not.
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simulateBERParallel(params, outputFile=True, printValue=True)[source]¶ Simulates BER values at multiple SNRs, where the massively parallel algorithm is used. This implementation is especially designed for cupy.
- Parameters
params (imtoolkit.Parameter) – simulation parameters.
outputFile (bool) – a flag that determines whether to output the obtained results to the results/ directory.
printValue (bool) – a flag that determines whether to print the simulated values.
- Returns
a dict that has two keys: snr_dB and ber, and contains the corresponding results. All the results are transferred into the CPU memory.
- Return type
ret (dict)
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simulateBERReference(params, outputFile=True, printValue=True)[source]¶ Simulates BER values at multiple SNRs, where the straightforward reference algorithm is used. Note that this time complexity is unrealistically high.
- Parameters
params (imtoolkit.Parameter) – simulation parameters.
outputFile (bool) – a flag that determines whether to output the obtained results to the results/ directory.
printValue (bool) – a flag that determines whether to print the simulated values.
- Returns
a dict that has two keys: snr_dB and ber, and contains the corresponding results. All the results are transferred into the CPU memory.
- Return type
ret (dict)
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