kopia lustrzana https://github.com/cariboulabs/cariboulite
89 wiersze
2.2 KiB
Python
89 wiersze
2.2 KiB
Python
from PySimpleGUI.PySimpleGUI import Canvas, Column
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from PySimpleGUI import Window, WIN_CLOSED, Slider, Button, theme, Text, Radio, Image, InputText, Canvas
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import numpy as np
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import matplotlib.pyplot as plt
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import time
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import SoapySDR
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from SoapySDR import SOAPY_SDR_RX, SOAPY_SDR_TX, SOAPY_SDR_CS16
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"""
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Build a dictionaly of parameters
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"""
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def MakeParameters():
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params = { "DriverName": "HermonSDR",
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"RxChannel": 0,
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"NumOfComplexSample": 4*16384,
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"RxFrequencyHz": 915e6,
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"UseAGC": True,
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"Gain": 50.0,
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"RXBandwidth": 0.02e6,
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#"Frontend": "TX/RX ANT2 LNA-Bypass"}
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"Frontend": "TX/RX ANT2"}
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return params
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"""
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Setup the RX channel
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"""
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def SetupReceiver(sdr, params):
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# Gain mode
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sdr.setGainMode(SOAPY_SDR_RX, params["RxChannel"], params["UseAGC"])
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# Set RX gain (if not using AGC)
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sdr.setGain(SOAPY_SDR_RX, params["RxChannel"], params["Gain"])
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# Rx Frequency
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sdr.setFrequency(SOAPY_SDR_RX, params["RxChannel"], params["RxFrequencyHz"])
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# Rx BW
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sdr.setBandwidth(SOAPY_SDR_RX, params["RxChannel"], params["RXBandwidth"])
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# Frontend select
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sdr.setAntenna(SOAPY_SDR_RX, params["RxChannel"], params["Frontend"])
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# Make the stream
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return sdr.setupStream(SOAPY_SDR_RX, SOAPY_SDR_CS16, [params["RxChannel"]]) # Setup data stream
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"""
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Main
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"""
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if __name__ == "__main__":
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print("HermonSDR Sampling Test")
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params = MakeParameters()
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# Memory buffers
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samples = np.empty(2 * params["NumOfComplexSample"], np.int16)
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# Initialize Soapy
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sdr = SoapySDR.Device(dict(driver=params["DriverName"]))
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rxStream = SetupReceiver(sdr, params=params)
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sdr.activateStream(rxStream)
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# Read samples into buffer
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for ii in range(1,10):
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sr = sdr.readStream(rxStream, [samples], params["NumOfComplexSample"], timeoutUs=int(5e6))
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rc = sr.ret
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if (rc != params["NumOfComplexSample"]):
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print("Error Reading Samples from Device (error code = %d)!" % rc)
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exit
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# convert to float complex
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I = samples[::2].astype(np.float32)
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Q = samples[1::2].astype(np.float32)
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complexFloatSamples = I + 1j*Q
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#for k in range(len(I)):
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# if I[k] > 30 or I[k] < -30:
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# print(I[k])
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# plot samples
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fig = plt.figure()
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plt.plot(I)
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plt.plot(Q)
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plt.show()
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print("Goodbye")
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