pypho v1
pypho_arbmod
Generic signal modulator for arbitrary modulation formats.
pypho_arbmod.__init__(glova)
Instantiation and parameter setting. All parameters have to be set after ___call___, as the input parameter bits are generated by other moduls.
| Parameter | Type | Description |
|---|---|---|
glova |
instance | Global parameters |
| Output | Type | Description |
|---|---|---|
| User defined variable | pypho_arbmod.pypho_arbmod |
pypho_arbmod.__call__(E, constpoints, bits
| Parameter | Type | Description |
|---|---|---|
E |
list | List in which the optical data and noise signal are defined. Read here about data signal and noise representation The optical input signal should be a pulse comb. See example below. |
constpoints |
array | Defines the constellation points. No default value. Further information below. |
bits |
array | Defines the bit sequence which is modulated. No default value. |
| Output | Type | Description |
|---|---|---|
| User defined variable | list | Returns a list in which the optical data and noise signal are defined. Read here about data signal and noise representation. |
The parameter constpoints defines the constellation points. It is an multidimensial array:
constpoints = [constpoints_x, constpoints_y], where constpoints_x and constpoints_y define the constellation points of the X- and the Y-polarisation.
constpoints_* is another multidimensional array. For example
constpts_* = [( [1.0]*16),
([2.0*np.pi*x/16.0 for x in range(0,16)]),
(colors.values()[x] for x in range(0,16)]),
([x for x in range(0,16)]),
([(0),(0),(0),(0)], [(0),(0),(0),(1)], [(0),(0),(1),(0)], [(0),(0),(1),(1)], [(0),(1),(0),(0)], [(0),(1),(0),(1)], [(0),(1),(1),(0)], [(0),(1),(1),(1)],
[(1),(1),(1),(1)], [(1),(1),(1),(0)], [(1),(1),(0),(1)], [(1),(1),(0),(0)], [(1),(0),(1),(1)], [(1),(0),(1),(0)], [(1),(0),(0),(1)], [(1),(0),(0),(0)],
)]The first array in constpts_* defines the absolute value and the second array the phase of the constellation point.
The third array defines a color code of each constellation point. This array is only for plotting a constellation diagram so that each point has a defined color.
The fourth array is a identification number of each point. The last array defines the bitsequence of each constellation point.
The figure shows the onstellation diagram as defined in the example above.
Fig. 1 : Constellation diagramme of the X- and Y-polarisation plane.
The parameter bits defines bitsequence which has to be modulated. It is an multidimensial array:
bits = [bits_x, bits_y], where bits_x and bits_y define the bitsequence of the X- and the Y-polarisation. If only bitsequence_x is set,
bitsequence_y = bitsequence_x is defined by the module.
64 QAM
gcode_0 = ['000000', '000001', '000011', '000010', '000110', '000111', '000101', '000100',
'001000', '001001', '001011', '001010', '001110', '001111', '001101', '001100',
'011000', '011001', '011011', '011010', '011110', '011111', '011101', '011100',
'010000', '010001', '010011', '010010', '010110', '010111', '010101', '010100',
'110000', '110001', '110011', '110010', '110110', '110111', '110101', '110100',
'111000', '111001', '111011', '111010', '111110', '111111', '111101', '111100',
'101000', '101001', '101011', '101010', '101110', '101111', '101101', '101100',
'100000', '100001', '100011', '100010', '100110', '100111', '100101', '100100'
]
gcode = copy.deepcopy(gcode_0)
phav = copy.deepcopy(gcode_0)
absv = copy.deepcopy(gcode_0)
for c in range(0, len(gcode_0)):
gcode[c] = [int(gcode_0[c][i:i+1], 2) for i in range(0, len(gcode_0[c]), 1)]
x = -3.5 + divmod(c,8)[1]
y = -3.5 + divmod(c,8)[0]
absv[c] = np.abs(x+1.0j*y)
phav[c] = np.angle(x+1.0j*y)
alpha = np.arctan(np.sqrt(1.0)/3.0)
constpts_x = [( absv),
( phav),
( [colors.values()[x] for x in range(0,64)]),
( [x for x in range(0, 64)]),
( gcode)] # codes gray optimized! to check
for c in range(0, 64):
b = np.asarray(constpts_x[4][c])
constpts_x[3][c] = int(b.dot(2**np.arange(b.size)[::-1]))