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Efficient Demodulation Algorithms for MIMO-LoRa
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DOI：10.1109/JIOT.2023.3294946.png)
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Abstract
En 中文
Multiple-input-multiple-output (MIMO) and long range (LoRa) have been synergistically combined to better support a variety of Internet of Things (IoT) applications. This letter investigates the problem of demodulation for a MIMO-LoRa system. The existing demodulation strategy for MIMO-LoRa is based on the maximum-likelihood criterion, which, however, suffers from its high computational complexity. To cope with this issue, in this letter, we develop efficient coherent and noncoherent demodulation algorithms for the MIMO-LoRa system by leveraging useful properties of modulated chirps through multiple antennas. We also analyze the computational complexities of the proposed algorithms and demonstrate their validity through numerical simulations.
Keywords:
Demodulation
Signal to noise ratio
Internet of Things
Computational complexity
Chirp
MIMO communication
Discrete Fourier transforms
Internet of Things (IoT)
long range (LoRa)
multiple-input-multiple-output (MIMO)
Journal
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8.9
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Citations:
7.8W