2020 54th Asilomar Conference on Signals, Systems, and Computers 2020
DOI: 10.1109/ieeeconf51394.2020.9443502
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A Maximum-Likelihood-based Multi-User LoRa Receiver Implemented in GNU Radio

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Cited by 6 publications
(6 citation statements)
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“…By applying the same development for K > 2 paths, the general expression is straightforward and given in (10).…”
Section: B Channel Effect On Lora Wave-formsmentioning
confidence: 99%
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“…By applying the same development for K > 2 paths, the general expression is straightforward and given in (10).…”
Section: B Channel Effect On Lora Wave-formsmentioning
confidence: 99%
“…As channel delay spread is small in comparison with symbol duration, we may omit interference coming from previous symbol a − . Equation (10) can be then simplified as:…”
Section: B Channel Effect On Lora Wave-formsmentioning
confidence: 99%
See 1 more Smart Citation
“…Contributions: In this work, we provide a detailed description of the two-user LoRa receiver initially introduced in [36]. This two-user receiver features a detector that is derived from the ML sequence estimator (MLSE) and performs individual decisions on the interfering symbols instead of a joint detection over the entire colliding frames.…”
Section: Introductionmentioning
confidence: 99%
“…This two-user receiver features a detector that is derived from the ML sequence estimator (MLSE) and performs individual decisions on the interfering symbols instead of a joint detection over the entire colliding frames. Whereas Xhonneux et al [36] only provided limited experimental results from a proof-ofconcept testbed, we conduct in this article a full derivation and performance analysis of the proposed receiver. We show that the described detector inherently leverages the difference of time, carrier frequency, and received power between users to demodulate the colliding symbols.…”
Section: Introductionmentioning
confidence: 99%