HIGHLIGHTS
- who: Jae-Mo Kang et al. from the (UNIVERSITY) have published the research: LoRa Preamble Detection With Optimized Thresholds, in the Journal: (JOURNAL)
- what: To tackle this issue in this letter the authors aim to optimize those thresholds by maximizing the preamble detection probability while satisfying a constraint on false alarm rate. For the purpose of performance comparisons, the authors evaluate the performance of the following two baseline schemes as extensions of the existing schemes, , and_[5].
SUMMARY
Preamble detection are derived in closed forms. In LoRa, every frame is initiated . . .
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