Non-Biased Linear Approximation Method of CIR for ICI Mitigation in High Mobility OFDM System

In orthogonal frequency division multiplexing (OFDM) system, the property of the channel impulse response (CIR) is generally assumed to be time-invariant in one OFDM symbol. However, the assumption is proved wrong in mobile environments, thus leading to inter-carrier interference (ICI) by Doppler spread. A typical solution for this problem is a piece-wise linear approximation to estimate channel time-variations in pilot-aided OFDM mobile systems. Unfortunately, the solution causes biased linear approximation error, which yields the poor performance in the receiver. In this paper, we propose novel non-biased linear approximation of CIR in OFDM mobile systems to mitigate ICI. Theoretical analysis and simulation show that the proposal satisfies the required correlation characteristics without a series of assumptions and outperforms the previous methods in terms of channel estimation.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-23
DOI
https://doi.org/10.5281/zenodo.17186267
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Non-Biased Linear Approximation Method of CIR for ICI Mitigation in High Mobility OFDM System

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Non-Biased Linear Approximation Method of CIR for ICI Mitigation in High Mobility OFDM System

article en

Abstract

In orthogonal frequency division multiplexing (OFDM) system, the property of the channel impulse response (CIR) is generally assumed to be time-invariant in one OFDM symbol. However, the assumption is proved wrong in mobile environments, thus leading to inter-carrier interference (ICI) by Doppler spread. A typical solution for this problem is a piece-wise linear approximation to estimate channel time-variations in pilot-aided OFDM mobile systems. Unfortunately, the solution causes biased linear approximation error, which yields the poor performance in the receiver. In this paper, we propose novel non-biased linear approximation of CIR in OFDM mobile systems to mitigate ICI. Theoretical analysis and simulation show that the proposal satisfies the required correlation characteristics without a series of assumptions and outperforms the previous methods in terms of channel estimation.

Zenodo (CERN European Organization for Nuclear Research)
Climate action
Openalex Percentile: Top 30%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.