A Phase Offset Blind Estimation Algorithm for QAM Modulation and Its FPGA Implementation

This paper presents the design, implementation, and validation of an FPGA-based phase offset estimation and compensation algorithm for RF communication systems. The algorithm improves the vector-valued phase estimator (VVPE) method by selecting the outermost constellation points to improve the phase estimation accuracy, and it supports various QAM modulation schemes. The effectiveness of the algorithm is first verified through MATLAB simulations and Pluto SDR-based experiments, during which the optimal value of the averaging filter parameter <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> is determined. The algorithm is then implemented on an FPGA, and a test system is developed in conjunction with RF instruments to validate its performance. The experimental results demonstrate that the proposed system achieves high accuracy, low latency, and efficient utilization of hardware resources, making it suitable for practical communication applications.

Authors

Institutions

Publication Details

Journal
IEEE Communications Letters
Published
2025-04-21
DOI
https://doi.org/10.1109/lcomm.2025.3562854
Primary Topic
Blind Source Separation Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Phase Offset Blind Estimation Algorithm for QAM Modulation and Its FPGA Implementation

Anxue Zhang, Xinyan Zhou, S. J. Zhu, Cuicui Zhang et al.
IEEE Communications Letters
Blind Source Separation Techniques
article

A Phase Offset Blind Estimation Algorithm for QAM Modulation and Its FPGA Implementation

Anxue Zhang, Xinyan Zhou, S. J. Zhu, Cuicui Zhang, Zhensheng Shi, Zifeng Tang
article en

Abstract

This paper presents the design, implementation, and validation of an FPGA-based phase offset estimation and compensation algorithm for RF communication systems. The algorithm improves the vector-valued phase estimator (VVPE) method by selecting the outermost constellation points to improve the phase estimation accuracy, and it supports various QAM modulation schemes. The effectiveness of the algorithm is first verified through MATLAB simulations and Pluto SDR-based experiments, during which the optimal value of the averaging filter parameter <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> is determined. The algorithm is then implemented on an FPGA, and a test system is developed in conjunction with RF instruments to validate its performance. The experimental results demonstrate that the proposed system achieves high accuracy, low latency, and efficient utilization of hardware resources, making it suitable for practical communication applications.

IEEE Communications LettersVol. 29(6)
Xi'an Jiaotong University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 91%
Blind Source Separation Techniques
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.