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-rwxr-xr-xdpd/main.py11
-rw-r--r--dpd/src/GlobalConfig.py2
-rw-r--r--dpd/src/Model_Poly.py1
3 files changed, 11 insertions, 3 deletions
diff --git a/dpd/main.py b/dpd/main.py
index 24daa5a..3ca0d35 100755
--- a/dpd/main.py
+++ b/dpd/main.py
@@ -11,6 +11,7 @@
This engine calculates and updates the parameter of the digital
predistortion module of ODR-DabMod."""
+import sys
import datetime
import os
import argparse
@@ -62,6 +63,8 @@ parser.add_argument('--plot',
action="store_true")
parser.add_argument('--name', default="", type=str,
help='Name of the logging directory')
+parser.add_argument('-r', '--reset', action="store_true",
+ help='Reset the DPD settings to the defaults.')
cli_args = parser.parse_args()
@@ -101,7 +104,7 @@ console.setFormatter(formatter)
# add the handler to the root logger
logging.getLogger('').addHandler(console)
-logging.info(cli_args)
+logging.info("DPDCE starting up with options: {}".format(cli_args))
import numpy as np
import traceback
@@ -129,6 +132,8 @@ if cli_args.lut:
model = Lut(c)
else:
model = Poly(c)
+
+# Models have the default settings on startup
adapt.set_predistorter(model.get_dpd_data())
adapt.set_digital_gain(digital_gain)
@@ -170,6 +175,10 @@ elif dpddata[0] == "lut":
else:
logging.error("Unknown dpd data format {}".format(dpddata[0]))
+if cli_args.reset:
+ logging.info("DPD Settings were reset to default values.")
+ sys.exit(0)
+
tx_agc = TX_Agc(adapt, c)
# Automatic Gain Control
diff --git a/dpd/src/GlobalConfig.py b/dpd/src/GlobalConfig.py
index 684a881..b84b9d7 100644
--- a/dpd/src/GlobalConfig.py
+++ b/dpd/src/GlobalConfig.py
@@ -11,7 +11,7 @@ import numpy as np
class GlobalConfig:
def __init__(self, cli_args, plot_location):
- self.sample_rate = cli_args.sample_rate
+ self.sample_rate = cli_args.samplerate
assert self.sample_rate == 8192000 # By now only constants for 8192000
self.plot_location = plot_location
diff --git a/dpd/src/Model_Poly.py b/dpd/src/Model_Poly.py
index 3ec717b..cdfd319 100644
--- a/dpd/src/Model_Poly.py
+++ b/dpd/src/Model_Poly.py
@@ -55,7 +55,6 @@ class Poly:
self.coefs_am = np.zeros(5, dtype=np.float32)
self.coefs_am[0] = 1
self.coefs_pm = np.zeros(5, dtype=np.float32)
- return self.coefs_am, self.coefs_pm
def train(self, tx_abs, rx_abs, phase_diff, lr=None):
"""