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v0.0.1
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c8ace2330d
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8
.github/workflows/python_publish.yml
vendored
8
.github/workflows/python_publish.yml
vendored
@ -54,7 +54,13 @@ jobs:
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with:
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name: python-package-distributions
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path: dist/
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: "3.x"
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- name: Publish distribution 📦 to PyPI
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uses: pypa/gh-action-pypi-publish@release/v1
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with:
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password: ${{ secrets.PYPI_API_TOKEN }}
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password: ${{ secrets.PYPI_API_TOKEN }}
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verbose: true
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print-hash: true
|
@ -1,6 +1,6 @@
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# Charon
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Named after [Pluto's moon](https://en.wikipedia.org/wiki/Charon_(moon)), Charon is a simple RF switch assembly for using the [ADI Pluto SDR]() as a vector network analyzer.
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Named after [Pluto's moon](https://en.wikipedia.org/wiki/Charon_(moon)), Charon uses the [ADI Pluto SDR]() as a vector network analyzer. The basic usage is as a 1 port VNA but this can be extended to arbitrarily many ports with the addition of a couple RF switches.
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## Installation
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63
charon_vna/pluto_example.py
Normal file
63
charon_vna/pluto_example.py
Normal file
@ -0,0 +1,63 @@
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# Copyright (C) 2019 Analog Devices, Inc.
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#
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# SPDX short identifier: ADIBSD
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# I'm not sure why but sometimes I need to run this once to make the rest of my scripts work.
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# Probably just me running things manually out of order or something but I'm throwing this in here until I verify.
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import time
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import adi
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import matplotlib.pyplot as plt
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import numpy as np
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from scipy import signal
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# Create radio
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sdr = adi.Pluto(uri="ip:192.168.3.1")
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# Configure properties
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sdr.rx_rf_bandwidth = 4000000
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sdr.rx_lo = 2000000000
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sdr.tx_lo = 2000000000
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sdr.tx_cyclic_buffer = True
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sdr.tx_hardwaregain_chan0 = -30
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sdr.gain_control_mode_chan0 = "slow_attack"
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# Read properties
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print("RX LO %s" % (sdr.rx_lo))
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# Create a sinewave waveform
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fs = int(sdr.sample_rate)
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print(fs)
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N = 1024
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fc = int(-3000000 / (fs / N)) * (fs / N)
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ts = 1 / float(fs)
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t = np.arange(0, N * ts, ts)
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i = np.cos(2 * np.pi * t * fc) * 2**14
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q = np.sin(2 * np.pi * t * fc) * 2**14
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iq = i + 1j * q
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# Send data
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sdr.tx(iq)
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# Collect data
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for r in range(20):
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x = sdr.rx()
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f, Pxx_den = signal.periodogram(x, fs, return_onesided=False)
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plt.clf()
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plt.semilogy(f, Pxx_den)
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plt.ylim([1e-7, 1e2])
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plt.xlabel("frequency [Hz]")
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plt.ylabel("PSD [V**2/Hz]")
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plt.grid(True)
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plt.draw()
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plt.pause(0.05)
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time.sleep(0.1)
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plt.show()
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plt.plot(np.real(x))
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plt.plot(np.imag(x))
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plt.show()
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332
charon_vna/vna.py
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332
charon_vna/vna.py
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@ -0,0 +1,332 @@
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# %% imports
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import copy
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import time
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from pathlib import Path
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from typing import Optional
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import adi
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import iio
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import matplotlib as mpl
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import numpy as np
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import skrf as rf
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import xarray as xr
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from matplotlib import pyplot as plt
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from matplotlib.gridspec import GridSpec
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from matplotlib.patches import Circle
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from matplotlib.ticker import EngFormatter
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from numpy import typing as npt
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from scipy import signal
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dir_ = Path(__file__).parent
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# https://wiki.analog.com/resources/tools-software/linux-drivers/iio-transceiver/ad9361-customization
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# %% helper functions
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def get_config(sdr: adi.ad9361):
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config = dict()
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config["rx_lo"] = sdr.rx_lo
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config["rx_rf_bandwidth"] = sdr.rx_rf_bandwidth
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config["rx_enabled_channels"] = sdr.rx_enabled_channels
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for chan in config["rx_enabled_channels"]:
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config[f"rx_hardwaregain_chan{chan}"] = getattr(sdr, f"rx_hardwaregain_chan{chan}")
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config[f"gain_control_mode_chan{chan}"] = getattr(sdr, f"gain_control_mode_chan{chan}")
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config["tx_lo"] = sdr.tx_lo
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config["tx_rf_bandwidth"] = sdr.tx_rf_bandwidth
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config["tx_cyclic_buffer"] = sdr.tx_cyclic_buffer
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config["tx_enabled_channels"] = sdr.tx_enabled_channels
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for chan in config["tx_enabled_channels"]:
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config[f"tx_hardwaregain_chan{chan}"] = getattr(sdr, f"tx_hardwaregain_chan{chan}")
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config["filter"] = sdr.filter
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config["sample_rate"] = sdr.sample_rate
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config["loopback"] = sdr.loopback
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return config
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def db10(p):
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return 10 * np.log10(np.abs(p))
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def db20(p):
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return 20 * np.log10(np.abs(p))
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def minmax(x):
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return (np.min(x), np.max(x))
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def generate_tone(f: float, N: int = 1024, fs: Optional[float] = None):
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if fs is None:
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fs = sdr.sample_rate
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fs = int(fs)
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fc = int(f / (fs / N)) * (fs / N)
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ts = 1 / float(fs)
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t = np.arange(0, N * ts, ts)
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i = np.cos(2 * np.pi * t * fc) * 2**14
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q = np.sin(2 * np.pi * t * fc) * 2**14
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iq = i + 1j * q
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return iq
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# %% connection
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sdr = adi.ad9361(uri="ip:192.168.3.1")
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# %% verify device configuration
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mode_2r2t = bool(sdr._get_iio_debug_attr("adi,2rx-2tx-mode-enable"))
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if not mode_2r2t:
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raise ValueError("'adi,2rx-2tx-mode-enable' is not set in pluto. See README.md for instructions for changing this")
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# TODO: it might be possible to change this on the fly. I think we'll actually just fail in __init__ for sdr
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# %% switch control outputs
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# NOTE: this doesn't appear to work
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sdr._set_iio_debug_attr_str("adi,gpo-manual-mode-enable", "1")
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sdr._get_iio_debug_attr_str("adi,gpo-manual-mode-enable-mask")
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# but direct register access does
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# https://ez.analog.com/linux-software-drivers/f/q-a/120853/control-fmcomms3-s-gpo-with-python
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ctx = iio.Context("ip:192.168.3.1")
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ctrl = ctx.find_device("ad9361-phy")
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# https://www.analog.com/media/cn/technical-documentation/user-guides/ad9364_register_map_reference_manual_ug-672.pdf
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ctrl.reg_write(0x26, 0x90) # bit 7: AuxDAC Manual, bit 4: GPO Manual
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ctrl.reg_write(0x27, 0x10) # bits 7-4: GPO3-0
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# %% initialization
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sdr.rx_lo = int(2.0e9)
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sdr.tx_lo = int(2.0e9)
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sdr.sample_rate = 30e6
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sdr.rx_rf_bandwidth = int(4e6)
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sdr.tx_rf_bandwidth = int(4e6)
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sdr.rx_destroy_buffer()
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sdr.tx_destroy_buffer()
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sdr.rx_enabled_channels = [0, 1]
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sdr.tx_enabled_channels = [0]
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sdr.loopback = 0
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sdr.gain_control_mode_chan0 = "manual"
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sdr.gain_control_mode_chan1 = "manual"
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sdr.rx_hardwaregain_chan0 = 40
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sdr.rx_hardwaregain_chan1 = 40
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sdr.tx_hardwaregain_chan0 = -10
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config = get_config(sdr)
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config
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# %%
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sdr.tx_destroy_buffer() # must destroy buffer before changing cyclicity
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sdr.tx_cyclic_buffer = True
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sdr.tx(generate_tone(1e6))
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# %%
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sdr.rx_destroy_buffer()
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data = sdr.rx()
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# %% Plot in time
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fig, axs = plt.subplots(2, 1, sharex=True, tight_layout=True)
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axs[0].plot(np.real(data).T)
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axs[1].plot(np.imag(data).T)
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axs[0].set_ylabel("Real")
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axs[1].set_ylabel("Imag")
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axs[-1].set_xlabel("Time")
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fig.show()
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# %% Plot in frequency
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f, Pxx_den = signal.periodogram(data, sdr.sample_rate, axis=-1, return_onesided=False)
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plt.figure()
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for cc, chan in enumerate(sdr.rx_enabled_channels):
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plt.semilogy(f, Pxx_den[cc], label=f"Channel {chan}")
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plt.legend()
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plt.ylim([1e-7, 1e2])
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plt.xlabel("frequency [Hz]")
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plt.ylabel("PSD [V**2/Hz]")
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plt.grid(True)
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plt.show()
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# %% TX helper functions
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def set_output_power(power: float):
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if power == -5:
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# FIXME: this is a hack because I don't want to go through re-calibration
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tx_gain = -8
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else:
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raise NotImplementedError()
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# # TODO: correct over frequency
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# tx_gain_idx = np.abs(pout.sel(tx_channel=0) - power).argmin(dim="tx_gain")
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# tx_gain = pout.coords["tx_gain"][tx_gain_idx]
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sdr.tx_hardwaregain_chan0 = float(tx_gain)
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def set_output(frequency: float, power: float, offset_frequency: float = 1e6):
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sdr.tx_destroy_buffer()
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set_output_power(power)
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sdr.tx_lo = int(frequency - offset_frequency)
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offset_frequency = frequency - sdr.tx_lo
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sdr.tx_cyclic_buffer = True
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sdr.tx(generate_tone(offset_frequency))
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# %%
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def vna_capture(frequency: npt.ArrayLike):
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s = xr.DataArray(
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np.empty(len(frequency), dtype=np.complex128),
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dims=["frequency"],
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coords=dict(
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frequency=frequency,
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),
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)
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for freq in s.frequency.data:
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set_output(frequency=freq, power=-5)
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sdr.rx_destroy_buffer()
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sdr.rx_lo = int(freq)
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sdr.rx_enabled_channels = [0, 1]
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sdr.gain_control_mode_chan0 = "manual"
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sdr.gain_control_mode_chan1 = "manual"
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sdr.rx_hardwaregain_chan0 = 40
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sdr.rx_hardwaregain_chan1 = 40
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rx = sdr.rx()
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s.loc[dict(frequency=freq)] = np.mean(rx[1] / rx[0])
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return s
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# %%
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s = vna_capture(frequency=np.linspace(70e6, 200e6, 101))
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# %% Plot Logmag
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fig, axs = plt.subplots(2, 1, sharex=True, tight_layout=True)
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axs[0].plot(s.frequency, db20(s), label="Measured")
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axs[1].plot(s.frequency, np.rad2deg(np.angle((s))), label="Measured")
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axs[0].grid(True)
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axs[1].grid(True)
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axs[0].set_ylim(-80, 0)
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axs[1].set_ylim(-200, 200)
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axs[1].set_xlim(np.min(s.frequency), np.max(s.frequency))
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axs[1].xaxis.set_major_formatter(EngFormatter(places=1))
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axs[1].set_xlabel("Frequency")
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axs[0].set_ylabel("|S11| [dB]")
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axs[1].set_ylabel("∠S11 [deg]")
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reference_sparams = None
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reference_sparams = dir_ / "RBP-135+_Plus25degC.s2p"
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if reference_sparams is not None:
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ref = rf.Network(reference_sparams)
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rbp135 = xr.DataArray(ref.s, dims=["frequency", "m", "n"], coords=dict(frequency=ref.f, m=[1, 2], n=[1, 2]))
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axs[0].plot(rbp135.frequency, db20(rbp135.sel(m=1, n=1)), label="Datasheet")
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axs[1].plot(rbp135.frequency, np.rad2deg(np.angle(rbp135.sel(m=2, n=1))), label="Datasheet")
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axs[0].legend()
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axs[1].legend()
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plt.show()
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# %%
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def s2net(s: xr.DataArray) -> rf.Network:
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net = rf.Network(frequency=s.frequency)
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net.s = s.data
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return net
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# %% SOL calibration
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cal_frequency = np.linspace(70e6, 600e6, 2001)
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ideal_cal_frequency = rf.Frequency(np.min(cal_frequency), np.max(cal_frequency), len(cal_frequency))
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input("Connect SHORT and press ENTER...")
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short = vna_capture(frequency=cal_frequency)
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input("Connect OPEN and press ENTER...")
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open = vna_capture(frequency=cal_frequency)
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input("Connect LOAD and press ENTER...")
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load = vna_capture(frequency=cal_frequency)
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short_net = s2net(short)
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open_net = s2net(open)
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load_net = s2net(load)
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cal_ideal = rf.media.DefinedGammaZ0(frequency=ideal_cal_frequency)
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calibration = rf.calibration.OnePort(
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[short_net, open_net, load_net],
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[cal_ideal.short(), cal_ideal.open(), cal_ideal.load(0)],
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)
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# %%
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s = vna_capture(frequency=cal_frequency)
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# %%
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ham_bands = [
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[135.7e3, 137.8e3],
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[472e3, 479e3],
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[1.8e6, 2e6],
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[3.5e6, 4e6],
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[5332e3, 5405e3],
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[7e6, 7.3e6],
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[10.1e6, 10.15e6],
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[14e6, 14.35e6],
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[18.068e6, 18.168e6],
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[21e6, 21.45e6],
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[24.89e6, 24.99e6],
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[28e6, 29.7e6],
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[50e6, 54e6],
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[144e6, 148e6],
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[219e6, 220e6],
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[222e6, 225e6],
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[420e6, 450e6],
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[902e6, 928e6],
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[1240e6, 1300e6],
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[2300e6, 2310e6],
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||||
[2390e6, 2450e6],
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[3400e6, 3450e6],
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||||
[5650e6, 5925e6],
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||||
[10e9, 10.5e9],
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[24e9, 24.25e9],
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[47e9, 47.2e9],
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||||
[76e9, 81e9],
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||||
[122.25e9, 123e9],
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||||
[134e9, 141e9],
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[241e9, 250e9],
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[275e9, np.inf],
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]
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# %%
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||||
s_calibrated = calibration.apply_cal(s2net(s))
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plt.figure()
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||||
s_calibrated.plot_s_smith()
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# ref.plot_s_smith(m=1, n=1)
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plt.show()
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plt.figure()
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for start, stop in ham_bands:
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plt.axvspan(start, stop, alpha=0.1, color="k")
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s_calibrated.plot_s_db()
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# ref.plot_s_db(m=1, n=1)
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plt.gca().xaxis.set_major_formatter(EngFormatter())
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plt.grid(True)
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plt.xlim(s_calibrated.f[0], s_calibrated.f[-1])
|
||||
plt.show()
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||||
|
||||
plt.figure()
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||||
for start, stop in ham_bands:
|
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plt.axvspan(start, stop, alpha=0.1, color="k")
|
||||
# s_calibrated.plot_s_vswr()
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||||
# drop invalid points
|
||||
vswr = copy.deepcopy(s_calibrated.s_vswr[:, 0, 0])
|
||||
vswr[vswr < 1] = np.nan
|
||||
plt.plot(s_calibrated.f, vswr)
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plt.axhline(1, color="k", linestyle="--")
|
||||
plt.ylabel("VSWR")
|
||||
plt.xlabel("Frequency [Hz]")
|
||||
# ref.plot_s_vswr(m=1, n=1)
|
||||
plt.gca().xaxis.set_major_formatter(EngFormatter())
|
||||
plt.grid(True)
|
||||
plt.ylim(0, 10)
|
||||
plt.xlim(s_calibrated.f[0], s_calibrated.f[-1])
|
||||
plt.show()
|
||||
|
||||
# %%
|
@ -3,7 +3,7 @@ requires = ["setuptools", "setuptools-scm"]
|
||||
build-backend = "setuptools.build_meta"
|
||||
|
||||
[project]
|
||||
name = "charon-vna"
|
||||
name = "charon_vna"
|
||||
authors = [{ name = "Brendan Haines", email = "brendan.haines@gmail.com" }]
|
||||
description = "RF Network Analyzer based on the Pluto SDR"
|
||||
readme = "README.md"
|
||||
@ -50,3 +50,6 @@ exclude = '''
|
||||
| dist
|
||||
)/
|
||||
'''
|
||||
|
||||
[tool.isort]
|
||||
profile = "black"
|
||||
|
Reference in New Issue
Block a user