J
Jung Min Pak
Researcher at Wonkwang University
Publications - 35
Citations - 794
Jung Min Pak is an academic researcher from Wonkwang University. The author has contributed to research in topics: Finite impulse response & Digital filter. The author has an hindex of 14, co-authored 28 publications receiving 650 citations. Previous affiliations of Jung Min Pak include Korea University.
Papers
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Journal ArticleDOI
Improving Reliability of Particle Filter-Based Localization in Wireless Sensor Networks via Hybrid Particle/FIR Filtering
TL;DR: A novel hybrid particle/finite impulse response (FIR) filtering algorithm for improving reliability of PF-based localization schemes under harsh conditions causing sample impoverishment is proposed and the hybrid RP/EFIR filter is constructed.
Journal ArticleDOI
Distributed Hybrid Particle/FIR Filtering for Mitigating NLOS Effects in TOA-Based Localization Using Wireless Sensor Networks
TL;DR: A new NLOS identification algorithm based on distributed filtering to mitigate NLOS effects, including localization failures, is proposed, rather than processing all measurements via a single filter, which distributes the measurements among several local filters.
Journal ArticleDOI
Switching Extensible FIR Filter Bank for Adaptive Horizon State Estimation With Application
TL;DR: A novel adaptive horizon approach that aims to adapt the horizon size at each time point is proposed and a significant performance improvement is demonstrated using the SEFFB in comparison with a single FIR filter using constant optimal horizon size.
Journal ArticleDOI
Horizon group shift FIR filter: Alternative nonlinear filter using finite recent measurements
TL;DR: In this article, the authors proposed an alternative nonlinear FIR filter called horizon group shift (HGS) FIR filter, which adjusts horizon size based on the likelihood of observation and achieves a significant performance improvement.
Journal ArticleDOI
Accurate and Reliable Human Localization Using Composite Particle/FIR Filtering
TL;DR: A novel nonlinear filtering method is proposed that combines a PF with a robust filter, called a finite impulse response (FIR) filter, in order to accomplish accurate and reliable localization.