Poster: Low-complexity Outdoor Localization for Long-range, Low-power Radios

Seungmin Kim, Jeonggil Ko
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引用次数: 4

Abstract

The newly introduced LPWA radios, with their longdistance connectivity and low-power characteristics are becoming a viable option for interconnecting many IoT devices. For applications that seek kilometer-level connectivity, LPWA (e.g., LoRaWAN [1]), with narrowband radios and low reception sensitivity, can help meet their systemlevel requirements. Given their deployments over wide-areas we find LoRa device localization as an interesting research topic. Our preliminary experiences with the Semtech SX1272 LoRa radio shows a long-tail RSSI trace trend. Specifically, RSSI values at the 20 km distance and 30 km distance only shows a difference of 3-6 dBm, which is within typical fluctuation ranges. Besides using RSSI, we can also utilize the propagation delay of wireless signals for localization. Given that the communication range spans over multiple kilometers, receivers at distant locations can observe noticeable differences in the signal reception time for a packet signal from a transmitter. Our scheme utilizes time-of-arrival (ToA) measurements gathered from multiple anchor points for estimating a target device’s location using a low-complexity divide-andconcur method.
海报:远距离低功率无线电的低复杂度户外定位
新推出的LPWA无线电具有长距离连接和低功耗特性,正在成为连接许多物联网设备的可行选择。对于寻求千米级连接的应用,具有窄带无线电和低接收灵敏度的LPWA(例如LoRaWAN[1])可以帮助满足其系统级要求。考虑到LoRa设备在广域的部署,我们发现LoRa设备本地化是一个有趣的研究课题。我们对Semtech SX1272 LoRa无线电的初步体验显示出长尾RSSI跟踪趋势。其中,20 km距离和30 km距离的RSSI值仅相差3 ~ 6 dBm,属于典型的波动范围。除了使用RSSI,我们还可以利用无线信号的传播延迟进行定位。考虑到通信范围跨越数公里,遥远位置的接收器可以观察到来自发射器的数据包信号的信号接收时间的明显差异。我们的方案利用从多个锚点收集的到达时间(ToA)测量数据,使用低复杂度的分除法估计目标设备的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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