kjason/SubspaceRepresentationLearning
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology
This project helps signal processing engineers and researchers accurately pinpoint the direction of multiple signal sources using sparse sensor arrays. It takes measurements from these arrays and outputs the precise angles (directions-of-arrival) of the signal sources, even when there are more sources than sensors or when array imperfections exist. This is particularly useful for those working with radar, sonar, or wireless communication systems.
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Use this if you need to determine the direction of multiple signal sources with high precision, especially when using limited or imperfect sensor arrays.
Not ideal if your primary need is general-purpose deep learning model training or if you're not working with direction-of-arrival estimation in sparse linear arrays.
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Language
Python
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Last pushed
Mar 18, 2025
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