Learning Environment-aware and hardware-compatible beam-forming codebooks
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Updated
Mar 8, 2020 - Python
Learning Environment-aware and hardware-compatible beam-forming codebooks
Constrain ray parameters and back-azimuth with array method.
Adaptive Codebook Optimization
Runnable reference implementation of execution-finality for LEO/NTN, ISL, beam, gateway, and payload RF enable. 77 tests across 7 consequence paths show non-effective candidate acts, sink-verified single-use authority, and fail-closed replay/substitution denial via a non-radiating simulator. Companion to draft-das-ntn-rf-execution-finality.
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