44 citations · 186 across the 15 of their papers we have counts for
15 papers
Quantum-Based k-Coverage Optimization for UAV-Aided Search and Rescue Missions
Halim Lee, Suhui Jeong, Na Young Kim +1
In large-scale disaster scenarios, rapid localization of missing persons is a critical challenge for search-and-rescue (SAR) operations. Unmanned aerial vehicles (UAVs) equipped wi…
Track-Consistency-Based GNSS RFI Monitoring Using Crowdsourced ADS-B Sensor Networks
Sanghyeon Park, Halim Lee, Pyo-Woong Son
Growing reports of global navigation satellite system (GNSS) radio-frequency interference (RFI) highlight the need for scalable wide-area sensing for situational awareness. Crowdso…
Rigidity-Based Multi-UAV Trajectory Optimization for Rapid Cooperative Emergency Target Localization
Halim Lee, Jiwon Seo
Reducing the response time for accurate emergency-caller localization is critical in vehicular and public-safety networks. Although mobile devices commonly use GNSS, Wi-Fi, or cell…
Evaluating Particle Filtering for RSS-Based Target Localization under Varying Noise Levels and Sensor Geometries
Halim Lee, Jongmin Park, Kwansik Park
Target localization is a critical task in various applications, such as search and rescue, surveillance, and wireless sensor networks. When a target emits a radio frequency (RF) si…
Reducing Computational Complexity of Rigidity-Based UAV Trajectory Optimization for Real-Time Cooperative Target Localization
Halim Lee, Jiwon Seo
Accurate and swift localization of the target is crucial in emergencies. However, accurate position data of a target mobile device, typically obtained from global navigation satell…
Performance Comparison of Numerical Optimization Algorithms for RSS-TOA-Based Target Localization
Halim Lee, Jiwon Seo
The maximum likelihood (ML) estimator can be applied to localize a target mobile device using the RSS and TOA. However, the ML estimator for the RSS-TOA-based target localization p…
Performance Evaluation and Hybrid Application of the Greedy and Predictive UAV Trajectory Optimization Methods for Localizing a Target Mobile Device
Halim Lee, Jiwon Seo
This study investigates unmanned aerial vehicle (UAV) trajectory planning strategies for localizing a target mobile device in emergency situations. The global navigation satellite…
Urban Road Safety Prediction: A Satellite Navigation Perspective
Halim Lee, Jiwon Seo, Zaher M. Kassas
Predicting the safety of urban roads for navigation via global navigation satellite systems (GNSS) signals is considered. To ensure safe driving of automated vehicles, the vehicle…
Evaluation of RF Fingerprinting-Aided RSS-Based Target Localization for Emergency Response
Halim Lee, Taewon Kang, Suhui Jeong +1
Target localization is essential for emergency dispatching situations. Maximum likelihood estimation (MLE) methods are widely used to estimate the target position based on the rece…
Optimal Parameter Inflation to Enhance the Availability of Single-Frequency GBAS for Intelligent Air Transportation
Halim Lee, Sam Pullen, Jiyun Lee +3
Ground-based Augmentation System (GBAS) augments Global Navigation Satellite Systems (GNSS) to support the precision approach and landing of aircraft. To guarantee integrity, exist…
GPS Multipath Detection Based on Carrier-to-Noise-Density Ratio Measurements from a Dual-Polarized Antenna
Sanghyun Kim, Halim Lee, Kwansik Park
In this study, the global positioning system (GPS) multipath detection was performed based on the carrier-to-noise-density ratio, C/N0, measured through a dual-polarized antenna. A…
Integrity-Based Path Planning Strategy for Urban Autonomous Vehicular Navigation Using GPS and Cellular Signals
Halim Lee, Jiwon Seo, Zaher M. Kassas
An integrity-based path planning strategy for autonomous ground vehicle (AGV) navigation in urban environments is developed. The vehicle is assumed to navigate by utilizing cellula…
RSS-based LTE Base Station Localization Using Single Receiver in Environment with Unknown Path-Loss Exponent
Suhui Jeong, Halim Lee, Taewon Kang +1
With the increasing demand for location-based services, localization technology research has recently intensified. Received signal strength (RSS)-based localization has the advanta…
A Preliminary Study of Machine-Learning-Based Ranging with LTE Channel Impulse Response in Multipath Environment
Halim Lee, Jiwon Seo
Alternative navigation technology to global navigation satellite systems (GNSSs) is required for unmanned ground vehicles (UGVs) in multipath environments (such as urban areas). In…
Neural Network-Based Ranging with LTE Channel Impulse Response for Localization in Indoor Environments
Halim Lee, Ali A. Abdallah, Jongmin Park +2
A neural network (NN)-based approach for indoor localization via cellular long-term evolution (LTE) signals is proposed. The approach estimates, from the channel impulse response (…