6 papers
Statistical Characterization and Block-EM Estimation of Frequency-Domain NSI for OFDM Systems in Bursty Impulsive Noise
Chin-Hung Chen, Wim van Houtum, Yan Wu +1
Impulsive noise (IN), characterized by its high power and non-Gaussian distribution, poses a critical challenge in modern orthogonal frequency-division multiplexing (OFDM) systems,…
Physics-Aware Initialization Refinement in Code-Aided EM for Blind Channel Estimation
Chin-Hung Chen, Ivana Nikoloska, Wim van Houtum +2
This paper addresses the well-known local maximum problem of the expectation-maximization (EM) algorithm in blind intersymbol interference (ISI) channel estimation. This problem pr…
Turbo Receiver Design for Differentially Encoded PSK in Bursty Impulsive Noise Channels
Chin-Hung Chen, Boris Karanov, Wim van Houtom +2
It has been recognized that the impulsive noise (IN) generated by power devices poses significant challenges to wireless receivers. In this paper, we comprehensively assess the ach…
Analysis of Impulsive Interference in Digital Audio Broadcasting Systems in Electric Vehicles
Chin-Hung Chen, Wen-Hung Huang, Boris Karanov +3
Recently, new types of interference in electric vehicles (EVs), such as converters switching and/or battery chargers, have been found to degrade the performance of wireless digital…
Data-Driven Symbol Detection for Intersymbol Interference Channels with Bursty Impulsive Noise
Boris Karanov, Chin-Hung Chen, Yan Wu +2
We developed machine learning approaches for data-driven trellis-based soft symbol detection in coded transmission over intersymbol interference (ISI) channels in presence of burst…
On the Robustness of Deep Learning-aided Symbol Detectors to Varying Conditions and Imperfect Channel Knowledge
Chin-Hung Chen, Boris Karanov, Wim van Houtum +3
Recently, a data-driven Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm tailored to channels with intersymbol interference has been introduced. This so-called BCJRNet algorithm utilizes…