Jung Min Pak
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View article: Neural Network-Aided Hybrid Particle/FIR Filter for Indoor Localization Using Wireless Sensor Networks
Neural Network-Aided Hybrid Particle/FIR Filter for Indoor Localization Using Wireless Sensor Networks Open
Indoor localization based on range measurements in wireless sensor networks involves nonlinear measurement models and is susceptible to non-Gaussian noise, which is associated with complex indoor environments. While particle filters (PFs) …
View article: Event-Triggered Transmission of Sensor Measurements Using Twin Hybrid Filters for Renewable Energy Resource Management Systems
Event-Triggered Transmission of Sensor Measurements Using Twin Hybrid Filters for Renewable Energy Resource Management Systems Open
Recently, solar and wind power generation have gained attention as pathways to achieving carbon neutrality, and Renewable Energy Resource Management System (RERMS) technology has been developed to monitor and control small-scale, distribut…
View article: 3D Hybrid Localization Algorithm for Mitigating NLOS Effects in Flying Ad Hoc Networks
3D Hybrid Localization Algorithm for Mitigating NLOS Effects in Flying Ad Hoc Networks Open
Positions of unmanned aerial vehicles (UAVs) are typically obtained using the global positioning system (GPS). However, in GPS-denied or GPS-degraded environments, ad hoc networks with flying sensor nodes are used for UAV localization. In …
View article: Hybrid PDA/FIR Filtering for Indoor Localization Using Wireless Sensor Networks
Hybrid PDA/FIR Filtering for Indoor Localization Using Wireless Sensor Networks Open
Indoor localization systems using wireless sensor networks (WSNs) are widely used to track the positions of workers, robots, and equipment. In indoor spaces, the occasional obstruction of radio propagation by physical objects such as furni…
View article: Hybrid Interacting Multiple Model Filtering for Improving the Reliability of Radar-Based Forward Collision Warning Systems
Hybrid Interacting Multiple Model Filtering for Improving the Reliability of Radar-Based Forward Collision Warning Systems Open
Automotive forward collision warning (FCW) systems based on radar sensors attracted widespread attention in recent years. To achieve a reliable FCW, it is essential to accurately estimate the position and velocity of a preceding vehicle. T…
View article: Finite Impulse Response Filter-Based Track Formation for Preceding Vehicle Tracking Using Automotive Radars
Finite Impulse Response Filter-Based Track Formation for Preceding Vehicle Tracking Using Automotive Radars Open
Automotive radars, which are used for preceding vehicle tracking, have attracted significant attention in recent years. However, the false measurements that occur in cluttered roadways hinders the tracking process in vehicles; thus, it is …
View article: Distributed Frobenius-Norm Finite Memory Interacting Multiple Model Estimation for Mobile Robot Localization
Distributed Frobenius-Norm Finite Memory Interacting Multiple Model Estimation for Mobile Robot Localization Open
This paper proposes a novel state estimation algorithm, called the distributed Frobenius-norm finite memory interacting multiple model (DFFM-IMM) estimation algorithm, for mobile robot localization in wireless sensor networks (WSNs). The p…
View article: Distributed Finite Memory Estimation From Relative Measurements for Multiple-Robot Localization in Wireless Sensor Networks
Distributed Finite Memory Estimation From Relative Measurements for Multiple-Robot Localization in Wireless Sensor Networks Open
Mobile robot localizations have been extensively studied, and various algorithms for multiple-robot localization have been developed. However, existing methods for multiple-robot localization often exhibit poor performance under harsh cond…
View article: Combined Particle/FIR Filtering for Indoor Localization Based on Wireless Sensor Networks
Combined Particle/FIR Filtering for Indoor Localization Based on Wireless Sensor Networks Open
In this paper, we propose a new nonlinear f ltering algorithm that can provide more accurate and reliable localization compared with the pure particle f ltering (PF). In the proposed algorithm, failures of the PF are detected, and the fail…
View article: Switching Extended Kalman Filter Bank for Indoor Localization Using Wireless Sensor Networks
Switching Extended Kalman Filter Bank for Indoor Localization Using Wireless Sensor Networks Open
This paper presents a new filtering algorithm, switching extended Kalman filter bank (SEKFB), for indoor localization using wireless sensor networks. SEKFB overcomes the problem of uncertain process-noise covariance that arises when using …
View article: Hybrid PDA/FIR Filtering for Preceding Vehicle Tracking Using Automotive Radars
Hybrid PDA/FIR Filtering for Preceding Vehicle Tracking Using Automotive Radars Open
This paper proposes a novel single vehicle tracking algorithm with enhanced reliability for automotive radar systems. The proposed algorithm overcomes the weaknesses of the probabilistic data association filter (PDAF) in single-target trac…
View article: Visual odometry particle filter for improving accuracy of visual object trackers
Visual odometry particle filter for improving accuracy of visual object trackers Open
This Letter proposes a novel state estimator called the visual odometry particle filter (VOPF) for improving accuracy of visual object trackers. For the VOPF, a novel visual odometry motion model that is better than the conventional consta…
View article: Multiple-model hybrid particle/FIR filter for indoor localization using wireless sensor networks
Multiple-model hybrid particle/FIR filter for indoor localization using wireless sensor networks Open
This letter proposes a new state estimator called the multiple-model hybrid particle/finite-impulse-response (FIR) filter (MMHPFF) for indoor localization using wireless sensor networks. In the proposed hybrid filtering algorithm, the mult…
View article: Memory parameterized FIR filtering for digital phase-locked loop
Memory parameterized FIR filtering for digital phase-locked loop Open
In this letter, a new filtering method for digital phase-locked loops (DPLLs) is proposed. The proposed method is based on finite impulse response (FIR) filtering, which estimates the state variables of a system using recent finite measure…
View article: Optimal horizon size for unbiased finite memory digital phase-locked loop
Optimal horizon size for unbiased finite memory digital phase-locked loop Open
Digital phase locked-loop (DPLL) is a circuit system for frequency synchronization, and unbiased finite memory DPLL (UFMDPLL) is DPLL using a finite impulse response (FIR) filter for phase detection. This letter proposes a novel method for…
View article: Indoor Localization Using Unscented Kalman/FIR Hybrid Filter
Indoor Localization Using Unscented Kalman/FIR Hybrid Filter Open
This paper proposes a new nonlinear filtering algorithm that combines the unscented Kalman filter (UKF) and the finite impulse response (FIR) filter. The proposed filter is called the unscented Kalman/FIR hybrid filter (UKFHF). In the UKFH…