A Low-Complexity Symbol Detection Scheme for LoRa Signals

For the widespread use of Internet of Things (IoT) devices, a low-power low-cost implementation is important for the IoT communications. In order to achieve this goal, in this letter, we consider the problem of symbol detection for LoRa, which is one of the most widely-used low power wide area (LPWA) technologies for IoT. Especially for achieving long battery life and low implementation cost for IoT devices, a low complexity symbol detection algorithm is proposed for the LoRa modulated signals. In order to evaluate the performance of the proposed scheme, compared to the conventional fast Fourier transform (FFT) based symbol detection, we show that the proposed scheme effectively reduces the computational complexity while achieving the optimal performance for symbol detection.