A Novel Blind CFO Estimator for RCP-OTFS Systems

Orthogonal time frequency space (OTFS) modulation is widely recognized as a key modulation technique for sixth-generation (6G) communication systems. However, it is a challenging task to estimate the carrier frequency offset (CFO) in OTFS system. In this paper, a blind carrier frequency offset (CFO) estimator based on cyclic prefix (CP) is proposed for fractional CFO estimation in RCP-OTFS system. The proposed method derives a cost function based on the correlation between received OTFS frame and remodulated received OTFS frame, and achieves CFO estimation by minimizing the theoretical mean square error (MSE). Simulation results demonstrate that the proposed estimator outperforms other estimators in terms of accuracy and range of estimation, while exhibiting robustness to different modulation orders.

Authors

Institutions

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icct62411.2024.10946394
Citations
3
Primary Topic
PAPR reduction in OFDM
Type
article
Field-Weighted Citation Impact
0.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Blind CFO Estimator for RCP-OTFS Systems

Siqi Xia, Xiaohu Liang, Liangdong Wei, Aijun Liu et al.
3 citations
PAPR reduction in OFDM
0.63
article

A Novel Blind CFO Estimator for RCP-OTFS Systems

Siqi Xia, Xiaohu Liang, Liangdong Wei, Aijun Liu, Yizhen Pan
article en
3 citations

Abstract

Orthogonal time frequency space (OTFS) modulation is widely recognized as a key modulation technique for sixth-generation (6G) communication systems. However, it is a challenging task to estimate the carrier frequency offset (CFO) in OTFS system. In this paper, a blind carrier frequency offset (CFO) estimator based on cyclic prefix (CP) is proposed for fractional CFO estimation in RCP-OTFS system. The proposed method derives a cost function based on the correlation between received OTFS frame and remodulated received OTFS frame, and achieves CFO estimation by minimizing the theoretical mean square error (MSE). Simulation results demonstrate that the proposed estimator outperforms other estimators in terms of accuracy and range of estimation, while exhibiting robustness to different modulation orders.

PLA Army Engineering University (CN)
Openalex Percentile: Top 30%
PAPR reduction in OFDM
0.63
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.