optic.plot.plotColoredConst

plotColoredConst(symb, constSymb, px=None, SNR=20, rule='MAP', cmap=<matplotlib.colors.ListedColormap object>, fig=None, ax=None)

Colored constellation scatter plot.

Parameters:

  • symb (np.array) – Complex-valued constellation symbols.

  • constSymb (np.array) – Complex-valued constellation symbols used for detection.

  • px (array_like, optional) – Prior probabilities of symbols.

  • SNR (float, optional) – Signal-to-Noise Ratio (SNR) in decibels (dB). Default is 20 dB.

  • rule (str, optional) – Detection rule, either “MAP” for Maximum A Posteriori or “ML” for Maximum Likelihood. Default is “MAP”.

  • cmap (matplotlib.colors.Colormap, optional) – Colormap for coloring the constellation symbols. Default is matplotlib.cm.turbo.

  • fig (matplotlib.figure.Figure, optional) – Figure object for the plot. If None, a new figure is created. Default is None.

  • ax (matplotlib.axes.Axes, optional) – Axes object for the plot. If None, a new axes is created. Default is None.

Returns:

  • fig (matplotlib.figure.Figure) – Figure object for the plot.

  • ax (matplotlib.axes.Axes) – Axes object for the plot.

Notes

This function generates a scatter plot of complex-valued constellation symbols with colors representing the corresponding decided constellation symbols based on detection results.

The detected symbols are determined using a detector based on the provided input symbols, noise variance, detection rule, and prior probabilities (if available).