Changes between Version 113 and Version 114 of Other/Summer/2025/mlCoexist


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Timestamp:
Jul 28, 2025, 4:58:15 PM (6 days ago)
Author:
aw1086
Comment:

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  • Other/Summer/2025/mlCoexist

    v113 v114  
    158158 - Added a variability margin to the signal gains to simulate the uncertainty in physical transmissions and obtain multiple samples from a single scenario
    159159 - Edited the y-axis (frequency range: 1400 MHz–1427 MHz) to illustrate only the section of signals that leaked into the L-band, in order to prevent the CNN model from picking up insignificant details during training
     160- Problem: found impracticality in using binary classification (with/without RFI) on transmitting signal spectrograms. As they are pre-RFI and contain no features that reveal the impact of signal interference, Tx graphs are not suitable as input for training CNN, since the model would become a simple color detector (hue of spectrograms based on intensity of power, e.g., orange = RFI, blue = no RFI), which reduces the entire purpose of using ML for RFI detection
     161 - Solution: pivoted to using cropped Tx spectrograms (only signals leaked into L-band) to estimate brightness temperature, and changed the model from classification to regression
     162 - Force the model to extract more graphical features than just color (ex. using the area of the brighter color in graphs to approximate total Tb when leaked signal reaches the receiving site)
     163- New data table for model training:
     164
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