Closed AditiSingh-09 closed 4 months ago
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Hello @AditiSingh-09! Your issue #1003 has been closed. Thank you for your contribution!
Is there an existing issue for this?
Feature Description
This project involves classifying radar returns from the ionosphere to distinguish between "good" and "bad" radar signals. The data was collected by a high-frequency radar system deployed in Goose Bay, Labrador, which utilizes a phased array of 16 antennas and transmits at a power level of approximately 6.4 kilowatts. The primary targets of this radar system are free electrons in the ionosphere.
Use Case
Each pulse number is represented by two continuous attributes, corresponding to the complex values returned by the autocorrelation function. With 17 pulse numbers, this results in 34 continuous attributes.
Benefits
The classification of radar returns is crucial for understanding and interpreting ionospheric conditions, which can impact communication systems and satellite operations.
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Priority
High
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