forked from scikit-rf/scikit-rf
/
keysight_pna.py
560 lines (472 loc) · 20.5 KB
/
keysight_pna.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
import warnings
from collections import OrderedDict, Iterable
import numpy as np
import skrf
import pyvisa
from . import abcvna
from . import keysight_pna_scpi
class PNA(abcvna.VNA):
"""
Class for modern Keysight/Agilent Performance Network Analyzers
"""
DEFAULT_VISA_ADDRESS = "GPIB::16::INSTR"
NAME = "Keysight PNA"
NPORTS = 2
NCHANNELS = 32
SCPI_VERSION_TESTED = 'A.09.20.08'
def __init__(self, address=DEFAULT_VISA_ADDRESS, **kwargs):
"""
initialization of PNA Class
Parameters
----------
address : str
visa resource string (full string or ip address)
kwargs : dict
interface (str), port (int), timeout (int),
:param address:
:param kwargs:
"""
super(PNA, self).__init__(address, **kwargs)
self.resource.timeout = kwargs.get("timeout", 2000)
self.scpi = keysight_pna_scpi.SCPI(self.resource)
# TODO: There is currently no way to change ascii vs binary modes for commands like get_twoport.
# Because of the update to pyvisa, there are now two commands generated for query commands: an ascii and a binary version.
# At present all commands which call a query command like this use ascii.
@property
def echo(self):
return self.scpi.echo
@echo.setter
def echo(self, onoff):
if onoff in (1, True):
self.scpi.echo = True
elif onoff in (0, False):
self.scpi.echo = False
else:
raise warnings.warn("echo must be a boolean")
@property
def active_channel(self):
old_timeout = self.resource.timeout
self.resource.timeout = 500
try:
channel = self.scpi.query_active_channel()
except pyvisa.VisaIOError:
print("No channel active, using 1")
channel = 1
finally:
self.resource.timeout = old_timeout
return channel
@active_channel.setter
def active_channel(self, channel):
"""
Set the active channel on the analyzer
Parameters
----------
channel : int
Notes
-----
There is no specific command to activate a channel, so we ask which channel we want and then activate the first
trace on that channel. We do this because if the analyzer gets into a state where it doesn't recognize
any activated measurements, the get_snp_network method will fail, and possibly others as well. That is why in
some methods you will see the following line:
self.active_channel = channel = kwargs.get("channel", self.active_channel)
this way we force this property to be set, even if it just resets itself to the same value, but then a trace
will become active and our get_snp_network method will succeed.
"""
# TODO: Good chance this will fail if no measurement is on the set channel, need to think about that...
mnum = self.scpi.query_meas_number_list(channel)[0]
self.scpi.set_selected_meas_by_number(channel, mnum)
return
def sweep(self, **kwargs):
"""
Initialize a fresh sweep of data on the specified channels
Parameters
----------
kwargs : dict
channel ("all", int or list of channels), timeout (milliseconds)
trigger a fresh sweep on the specified channels (default is "all" if no channel specified)
Autoset timeout and sweep mode based upon the analyzers current averaging setting,
and then return to the prior state of continuous trigger or hold.
"""
self.resource.clear()
self.scpi.set_trigger_source("IMM")
original_timeout = self.resource.timeout
# expecting either an int or a list of ints for the channel(s)
channels_to_sweep = kwargs.get("channels", None)
if not channels_to_sweep:
channels_to_sweep = kwargs.get("channel", "all")
if not type(channels_to_sweep) in (list, tuple):
channels_to_sweep = [channels_to_sweep]
channels = self.scpi.query_available_channels()
for i, channel in enumerate(channels):
sweep_mode = self.scpi.query_sweep_mode(channel)
was_continuous = "CONT" in sweep_mode.upper()
sweep_time = self.scpi.query_sweep_time(channel)
averaging_on = self.scpi.query_averaging_state(channel)
averaging_mode = self.scpi.query_averaging_mode(channel)
if averaging_on and "SWE" in averaging_mode.upper():
sweep_mode = "GROUPS"
number_of_sweeps = self.scpi.query_averaging_count(channel)
self.scpi.set_groups_count(channel, number_of_sweeps)
number_of_sweeps *= self.NPORTS
else:
sweep_mode = "SINGLE"
number_of_sweeps = self.NPORTS
channels[i] = {
"cnum": channel,
"sweep_time": sweep_time,
"number_of_sweeps": number_of_sweeps,
"sweep_mode": sweep_mode,
"was_continuous": was_continuous
}
self.scpi.set_sweep_mode(channel, "HOLD")
timeout = kwargs.get("timeout", None) # recommend not setting this variable, as autosetting is preferred
try:
for channel in channels:
import time
if "all" not in channels_to_sweep and channel["cnum"] not in channels_to_sweep:
continue # default for sweep is all, else if we specify, then sweep
if not timeout: # autoset timeout based on sweep time
sweep_time = channel["sweep_time"] * channel[
"number_of_sweeps"] * 1000 # convert to milliseconds, and double for buffer
self.resource.timeout = max(sweep_time * 2, 5000) # give ourselves a minimum 5 seconds for a sweep
else:
self.resource.timeout = timeout
self.scpi.set_sweep_mode(channel["cnum"], channel["sweep_mode"])
self.wait_until_finished()
finally:
self.resource.clear()
for channel in channels:
if channel["was_continuous"]:
self.scpi.set_sweep_mode(channel["cnum"], "CONT")
self.resource.timeout = original_timeout
return
def upload_twoport_calibration(self, cal, port1=1, port2=2, **kwargs):
"""
upload a calibration to the vna, and set correction on all measurements
Parameters
----------
cal : skrf.Calibration
port1: int
port2: int
calibration error terms reference
# forward = (1, 1), reverse = (2, 2)
"directivity": "EDIR",
"source match": "ESRM",
"reflection tracking": "ERFT",
# forward = (2, 1), reverse = (1, 2)
"load match": "ELDM",
"transmission tracking": "ETRT"
"isolation": "EXTLK"
"""
self.active_channel = channel = kwargs.get("channel", self.active_channel)
calname = kwargs.get("calname", "skrf_12term_cal")
calibrations = self.scpi.query_calset_catalog(cnum=channel, form="NAME")
if calname in calibrations:
self.scpi.set_delete_calset(cnum=channel, calset_name=calname)
self.scpi.set_create_calset(cnum=channel, calset_name=calname)
cfs = dict()
for coef, data in cal.coefs_12term.items():
cfs[coef] = skrf.mf.complex2Scalar(data)
for eterm, coef in zip(("EDIR", "ESRM", "ERFT"), ("directivity", "source match", "reflection tracking")):
self.scpi.set_calset_data(channel, eterm, port1, port1, eterm_data=cfs["forward " + coef])
self.scpi.set_calset_data(channel, eterm, port2, port2, eterm_data=cfs["reverse " + coef])
for eterm, coef in zip(("ELDM", "ETRT", "EXTLK"), ("load match", "transmission tracking", "isolation")):
self.scpi.set_calset_data(channel, eterm, port2, port1, eterm_data=cfs["forward " + coef])
self.scpi.set_calset_data(channel, eterm, port1, port2, eterm_data=cfs["reverse " + coef])
self.scpi.set_active_calset(1, calname, True)
def get_snp_network(self, ports, **kwargs):
"""
return n-port network as an Network object
Parameters
----------
ports : Iterable
a iterable of integers designating the ports to query
kwargs : dict
channel(int) [ default 'self.active_channel' ]
sweep(bool) [default True]
name(str) [default \"\"]
f_unit(str) [ default \"GHz\" ]
raw_data(bool) [default False]
Returns
-------
Network
general function to take in a list of ports and return the full snp network as a Network object
"""
self.resource.clear()
# force activate channel to avoid possible errors:
self.active_channel = channel = kwargs.get("channel", self.active_channel)
sweep = kwargs.get("sweep", True)
name = kwargs.get("name", "")
f_unit = kwargs.get("f_unit", "GHz")
raw_data = kwargs.get("raw_data", False)
ports = [int(port) for port in ports] if type(ports) in (list, tuple) else [int(ports)]
if not name:
name = "{:}Port Network".format(len(ports))
if sweep:
self.sweep(channel=channel)
npoints = self.scpi.query_sweep_n_points(channel)
snp_fmt = self.scpi.query_snp_format()
self.scpi.set_snp_format("RI")
if raw_data is True:
if self.scpi.query_channel_correction_state(channel):
self.scpi.set_channel_correction_state(channel, False)
data = self.scpi.query_snp_data_ascii(channel, ports)
self.scpi.set_channel_correction_state(channel, True)
else:
data = self.scpi.query_snp_data_ascii(channel, ports)
else:
data = self.scpi.query_snp_data_ascii(channel, ports)
self.scpi.set_snp_format(snp_fmt) # restore the value before we got the RI data
self.scpi.set_snp_format(snp_fmt) # restore the value before we got the RI data
data = np.array(data)
nrows = int(len(data) / npoints)
nports = int(np.sqrt((nrows - 1)/2))
data = data.reshape([nrows, -1])
fdata = data[0]
sdata = data[1:]
ntwk = skrf.Network()
ntwk.frequency = skrf.Frequency.from_f(fdata, unit="Hz")
ntwk.s = np.empty(shape=(sdata.shape[1], nports, nports), dtype=complex)
for n in range(nports):
for m in range(nports):
i = n * nports + m
ntwk.s[:, m, n] = sdata[i * 2] + 1j * sdata[i * 2 + 1]
ntwk.frequency.unit = f_unit
ntwk.name = name
return ntwk
def get_list_of_traces(self, **kwargs):
self.resource.clear()
traces = []
channels = self.scpi.query_available_channels()
for channel in channels:
meas_list = self.scpi.query_meas_name_list(channel)
if len(meas_list) == 1:
continue # if there isnt a single comma, then there aren't any measurements
parameters = dict([(meas_list[k], meas_list[k + 1]) for k in range(0, len(meas_list) - 1, 2)])
meas_numbers = self.scpi.query_meas_number_list()
for mnum in meas_numbers:
name = self.scpi.query_meas_name_from_number(mnum)
item = {"name": name, "channel": channel, "measurement number": mnum,
"parameter": parameters.get(name, name)}
item["label"] = "{:s} - Chan{:},Meas{:}".format(
item["parameter"], item["channel"], item["measurement number"])
traces.append(item)
return traces
def get_traces(self, traces, **kwargs):
"""
retrieve traces as 1-port networks from a list returned by get_list_of_traces
Parameters
----------
traces : list
list of type that is exported by self.get_list_of_traces
kwargs : dict
sweep (bool), name_prefix (str)
Returns
-------
list
a list of 1-port networks representing the desired traces
Notes
-----
There is no current way to distinguish between traces and 1-port networks within skrf
"""
self.resource.clear()
sweep = kwargs.get("sweep", False)
name_prefix = kwargs.get("name_prefix", "")
if name_prefix:
name_prefix += " - "
channels = OrderedDict()
for trace in traces:
ch = trace["channel"]
if ch not in channels.keys():
channels[ch] = {
"frequency": None,
"traces": list()}
channels[ch]["traces"].append(trace)
if sweep is True:
self.sweep(channels=list(channels.keys()))
traces = []
for ch, ch_data in channels.items():
frequency = ch_data["frequency"] = self.get_frequency()
for trace in ch_data["traces"]:
self.scpi.set_selected_meas_by_number(trace["channel"], trace["measurement number"])
sdata = np.array(self.scpi.query_data_ascii(trace["channel"], "SDATA"))
s = sdata[::2] + 1j * sdata[1::2]
ntwk = skrf.Network()
ntwk.s = s
ntwk.frequency = frequency
ntwk.name = name_prefix + trace.get("parameter", "trace")
traces.append(ntwk)
return traces
def get_frequency(self, **kwargs):
"""
get an skrf.Frequency object for the current channel
Parameters
----------
kwargs : dict
channel (int), f_unit (str)
Returns
-------
skrf.Frequency
"""
self.resource.clear()
channel = kwargs.get("channel", self.active_channel)
sweep_type = self.scpi.query_sweep_type(channel)
if sweep_type in ["LIN", "LOG", "SEGM"]:
freqs = self.scpi.query_sweep_data_ascii(channel)
else:
freqs = np.array([self.scpi.query_f_start_ascii(channel)])
frequency = skrf.Frequency.from_f(freqs, unit="Hz")
frequency.unit = kwargs.get("f_unit", "Hz")
return frequency
def set_frequency_sweep(self, f_start, f_stop, f_npoints, **kwargs):
f_unit = kwargs.get("f_unit", "hz").lower()
if f_unit != "hz":
f_start = self.to_hz(f_start, f_unit)
f_stop = self.to_hz(f_stop, f_unit)
channel = kwargs.get("channel", self.active_channel)
self.scpi.set_f_start(channel, f_start)
self.scpi.set_f_stop(channel, f_stop)
self.scpi.set_sweep_n_points(f_npoints)
def get_switch_terms(self, ports=(1, 2), **kwargs):
self.resource.clear()
p1, p2 = ports
self.active_channel = channel = kwargs.get("channel", self.active_channel)
measurements = self.get_meas_list()
max_trace = len(measurements)
for meas in measurements: # type: str
try:
trace_num = int(meas[0][-2:].replace("_", ""))
if trace_num > max_trace:
max_trace = trace_num
except ValueError:
pass
forward_name = "CH{:}_FS_P{:d}_{:d}".format(channel, p1, max_trace + 1)
reverse_name = "CH{:}_RS_P{:d}_{:d}".format(channel, p2, max_trace + 2)
self.create_meas(forward_name, 'a{:}b{:},{:}'.format(p2, p2, p1))
self.create_meas(reverse_name, 'a{:}b{:},{:}'.format(p1, p1, p2))
self.sweep(channel=channel)
forward = self.get_measurement(mname=forward_name, sweep=False) # type: skrf.Network
forward.name = "forward switch terms"
reverse = self.get_measurement(mname=reverse_name, sweep=False) # type: skrf.Network
reverse.name = "reverse switch terms"
self.scpi.set_delete_meas(channel, forward_name)
self.scpi.set_delete_meas(channel, reverse_name)
return forward, reverse
def get_measurement(self, mname=None, mnum=None, **kwargs):
"""
get a measurement trace from the analyzer, specified by either name or number
Parameters
----------
mname : str
the name of the measurement, e.g. 'CH1_S11_1'
mnum : int
the number of number of the measurement
kwargs : dict
channel (int), sweep (bool)
Returns
-------
skrf.Network
"""
if mname is None and mnum is None:
raise ValueError("must provide either a measurement mname or a mnum")
channel = kwargs.get("channel", self.active_channel)
if type(mname) is str:
self.scpi.set_selected_meas(channel, mname)
else:
self.scpi.set_selected_meas_by_number(channel, mnum)
return self.get_active_trace_as_network(**kwargs)
def get_active_trace_as_network(self, **kwargs):
"""
get the active trace as a network object
Parameters
----------
kwargs : dict
channel (int), sweep (bool)
Returns
-------
skrf.Network
"""
channel = self.active_channel
sweep = kwargs.get("sweep", False)
if sweep:
self.sweep(channel=channel)
ntwk = skrf.Network()
sdata = np.array(self.scpi.query_data_ascii(channel))
ntwk.s = sdata[::2] + 1j * sdata[1::2]
ntwk.frequency = self.get_frequency(channel=channel)
return ntwk
def create_meas(self, mname, param, **kwargs):
"""
Create a new measurement trace on the analyzer
Parameters
----------
mname: str
name of the measurement **WARNING**, not all names behave well
param: str
analyzer parameter, e.g.: S11 ; a1/b1,1 ; A/R1,1
kwargs : dict
channel(int)
"""
channel = kwargs.get("channel", self.active_channel)
self.scpi.set_create_meas(channel, mname, param)
self.display_trace(mname)
def display_trace(self, mname, **kwargs):
"""
Display measurement name on the analyzer display window
Parameters:
mname : str
the name of the measurement, e.g. 'CH1_S11_1'
kwargs : dict
channel(int), window_n(int), trace_n(int), display_format(str)
Keyword Arguments
----------------
display_format : str
must be one of: MLINear, MLOGarithmic, PHASe, UPHase, IMAGinary, REAL, POLar, SMITh,
SADMittance, SWR, GDELay, KELVin, FAHRenheit, CELSius
"""
channel = kwargs.get('channel', self.active_channel)
window_n = kwargs.get("window_n", '')
trace_n = kwargs.get("trace_n",
max(self.scpi.query_window_trace_numbers(window_n)) + 1)
display_format = kwargs.get('display_format', 'MLOG')
self.scpi.set_display_trace(window_n, trace_n, mname)
self.scpi.set_selected_meas(channel, mname)
self.scpi.set_display_format(channel, display_format)
def get_meas_list(self, **kwargs):
"""
Convenience function to return a nicely arranged list of the measurement, parameter catalogue
Parameters
----------
kwargs : dict
channel : int
Returns
-------
list
list of tuples of the form: (name, measurement)
Return a list of measurement names on all channels.
If channel is provided to kwargs, then only measurements for that channel are queried
"""
channel = kwargs.get("channel", self.active_channel)
meas_list = self.scpi.query_meas_name_list(channel)
if len(meas_list) == 1:
return None # if there isnt a single comma, then there arent any measurements
return [(meas_list[k], meas_list[k + 1]) for k in range(0, len(meas_list) - 1, 2)]
@property
def ntraces(self):
"""
Get the number of traces on the active channel
Returns
-------
int
The number of measurement traces that exist on the current channel
Notes
-----
Note that this may not be the same as the number of traces displayed because a measurement may exist,
but not be associated with a trace.
"""
meas_list = self.scpi.query_meas_number_list(self.active_channel)
return 0 if meas_list is None else len(meas_list)
class PNAX(PNA):
NAME = "Keysight PNA-X"
NPORTS = 4
NCHANNELS = 32