activity
20172022
most citedDeep Learning Based NLOS Identification with Commodity WLAN Devices

115 citations · 119 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IT2022

Joint Vehicle Tracking and RSU Selection for V2I Communications with Extended Kalman Filter

Jiho Song, Seong-Hwan Hyun, Jong-Ho Lee +2

We develop joint vehicle tracking and road side unit (RSU) selection algorithms suitable for vehicle-to-infrastructure (V2I) communications. We first design an analytical framework…

cs.NI20204 cited

Sensor-Aided Learning for Wi-Fi Positioning with Beacon Channel State Information

Jeongsik Choi

Because each indoor site has its own radio propagation characteristics, a site survey process is essential to optimize a Wi-Fi ranging strategy for range-based positioning solution…

cs.NI2020

Calibration-Free Positioning Technique Using Wi-Fi Ranging and Built-in Sensors of Mobile Devices

Jeongsik Choi, Yang-Seok Choi

As positioning solutions integrate multiple components to improve accuracy, the number of parameters that require calibration has increased. This paper studies a calibration-free p…

cs.NI2019

Unsupervised Learning Technique to Obtain the Coordinates of Wi-Fi Access Points

Jeongsik Choi, Yang-Seok Choi, Shilpa Talwar

Given that the accuracy of range-based positioning techniques generally increases with the number of available anchor nodes, it is important to secure more of these nodes. To this…

cs.NI2017115 cited

Deep Learning Based NLOS Identification with Commodity WLAN Devices

Jeong-Sik Choi, Woong-Hee Lee, Jae-Hyun Lee +2

Identifying line-of-sight (LOS) and non-LOS (NLOS) channel conditions can improve the performance of many wireless applications, such as signal strength-based localization algorith…