LoRa 통신을 활용한 RSSI 기반 드론 위치 추정 알고리즘 개발 및 성능 비교 분석
Development and Performance Analysis of an RSSI-Based Drone Location Algorithm Using LoRa Communication
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In this paper, we develop and analyze the performance of a drone location algorithm based on the received signal strength indicator (RSSI) received from the drone with LoRa Tx module. We first build the RSSI database according to the distance from the experimental measurements. Then, the range of the drone from distributed anchors with LoRa Rx module is estimated from the database. Three different location algorithms are developed using Grid Search, Weighted Least Square (WLS), and Weighted Levenberg-Marquardt (WLM) and their mean squared error (MSE) performances are evaluated from the experimental measurements, where a single LoRa Tx module is installed on the drone to transmit packet signals, and five distributed anchors, each with a LoRa Rx module, on the ground collect the RSS values.
Abstract
In this paper, we develop and analyze the performance of a drone location algorithm based on the received signal strength indicator (RSSI) received from the drone with LoRa Tx module. We first build the RSSI database according to the distance from the experimental measurements. Then, the range of the drone from distributed anchors with LoRa Rx module is estimated from the database. Three different location algorithms are developed using Grid Search, Weighted Least Square (WLS), and Weighted Levenberg-Marquardt (WLM) and their mean squared error (MSE) performances are evaluated from the experimental measurements, where a single LoRa Tx module is installed on the drone to transmit packet signals, and five distributed anchors, each with a LoRa Rx module, on the ground collect the RSS values.