Cross-Correlation Time Delay Estimation Algorithm Based on Hilbert Transform Phase Difference

The key technologies in multilateration is extracting time differences among multiple receivers through effective signal processing methods. Conventional approaches typically calculate the time-of-arrival (TOA) for individual receivers and then derive inter-receiver time differences, which require precise time synchronization between receivers. In this study, we propose a cross-correlation time delay estimation algorithm to directly obtain time differences between receivers without requiring inter-receiver synchronization. Furthermore, a Hilbert transform-based phase difference method is introduced to enhance the proposed algorithm, significantly improving the accuracy of peak detection. Comparative analysis of root mean square error (RMSE) demonstrates the superiority of the proposed method.

Authors

Institutions

Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/icsi64877.2025.11009885
Citations
1
Primary Topic
Advanced Photonic Communication Systems
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cross-Correlation Time Delay Estimation Algorithm Based on Hilbert Transform Phase Difference

Kai Gu
1 citations
Advanced Photonic Communication Systems
0.73
article

Cross-Correlation Time Delay Estimation Algorithm Based on Hilbert Transform Phase Difference

Kai Gu
article en
1 citations

Abstract

The key technologies in multilateration is extracting time differences among multiple receivers through effective signal processing methods. Conventional approaches typically calculate the time-of-arrival (TOA) for individual receivers and then derive inter-receiver time differences, which require precise time synchronization between receivers. In this study, we propose a cross-correlation time delay estimation algorithm to directly obtain time differences between receivers without requiring inter-receiver synchronization. Furthermore, a Hilbert transform-based phase difference method is introduced to enhance the proposed algorithm, significantly improving the accuracy of peak detection. Comparative analysis of root mean square error (RMSE) demonstrates the superiority of the proposed method.

Civil Aviation University of China (CN)
Openalex Percentile: Top 28%
Advanced Photonic Communication Systems
0.73
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.