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# This demo shows how to perform single frequency sweeps using spectrum sensing
# hardware on one node and plot them using matplotlib.
#
# Instead of accessing resources directly it uses convenience objects from
# the vesna.alh.spectrumsensor module.
import logging
import time
from vesna import alh
from vesna.alh.spectrumsensor import SpectrumSensor
import numpy
from matplotlib import pyplot
def main():
# Turn on logging so that we can see ALH requests happening in the
# background.
logging.basicConfig(level=logging.INFO)
coor = alh.ALHWeb("https://crn.log-a-tec.eu/communicator", 10001)
# Node 19 is equipped with an UHF receiver (TDA18219 on SNE-ISMTV-UHF)
node = alh.ALHProxy(coor, 19)
# Node 17 is equipped with an 2.4 GHz receiver (CC2500 on SNE-ISMTV-24)
#node = alh.ALHProxy(coor, 17)
# Wrap an ALHProxy object with a SpectrumSensor object that provides an
# convenient interface to spectrum sensing functionality of the node
# exposed through ALH resources.
sensor = SpectrumSensor(node)
# Get a ConfigList object that contains a list of device configurations
# supported by the chosen sensor node.
config_list = sensor.get_config_list()
# ConfigList.get_sweep_config() method will automatically choose
# the best device and configuration that can cover the requested
# frequency range.
#
# It returns an instance of SweepConfig class that describes all
# the settings for a frequency sweep.
#
# First example defines a sweep starting at 550 MHz and ending at
# 574 MHz with 2 MHz steps (use with node 19)
#
# Second example define a sweep starting at 2420 MHz and ending at
# 2430 MHz with 400 kHz steps (use with node 17)
sweep_config = config_list.get_sweep_config(550e6, 574e6, 1e6)
#sweep_config = config_list.get_sweep_config(2420e6, 2430e6, 400e3)
if sweep_config is None:
raise Exception("Node can not scan specified frequency range.")
pyplot.ion()
while True:
# Perform the sweep
sweep = sensor.sweep(sweep_config)
# Get the list of frequencies covered by the sweep
f_hz = sweep_config.get_hz_list()
# Convert list from Hz to MHz for nicer plot
f_mhz = numpy.array(f_hz) / 1e6
pyplot.clf()
pyplot.grid()
pyplot.xlabel("frequency [MHz]")
pyplot.ylabel("power [dBm]")
# Plot data
pyplot.plot(f_mhz, sweep.data)
pyplot.axis([min(f_mhz), max(f_mhz), -110, -50])
pyplot.draw()
time.sleep(1)
main()