WiFi 5GHz CSI-Based Single-AP Localization With Centimeter-Level Median Error

Abstract

Localization schemes based on one-way Channel Frequency Response (CFR) are limited in terms of the available coherent bandwidth due to random timing and phase offsets. Two-way CFR-based localization schemes utilize higher coherent bandwidth but suffer from Angle-of-Arrival (AoA) estimation ambiguity. In this paper, we investigate efficient localization schemes for ubiquitous WiFi networks in the 5GHz unlicensed frequency band by utilizing both the one-way and two-way WiFi Channel State Information (CSI) to overcome the AoA estimation ambiguity arising from the two-way-channel-based localization algorithm. We use the two-way CFR to increase the total available coherent bandwidth through stitching and the one-way CFR to resolve the AoA estimation ambiguity. We also propose complexity reduction methods for our localization scheme. Our proposed reduced-complexity localization scheme achieves 58cm median localization accuracy for our collected WiFi data and simulation environment in multipath scenarios with a 98% reduction in computational complexity compared to the state-of-the-art.

OPTILOD: Optimal Beacon Placement for High-Accuracy Indoor Localization of Drones

“…There are different ways to perform localization in the absence of GPS signals [7][8][9] Although RF-based ranging approaches such as Wireless Fidelity (Wi-Fi)-based localization [39], cellular positioning using signals from technologies such as 4G Long-Term Evolution (LTE) or 5G New Radio (NR) [40], and Bluetooth-based geolocation [41] are prevalent in commercial systems due to their longer range compared to acoustic signals, there are significant drawbacks that make these approaches less suitable for applications where accuracy is paramount over range. In the literature, researchers have often preferred acoustic methods over RF (including Wi-Fi, cellular, RFID tags, and others) due to concerns regarding accuracy [12,14].…”