Phase Synchronization Error Calibration in Focused Energy Delivery for Precision Electronic Warfare

Phase synchronization errors are unavoidable in focused energy delivery (FED) scenarios, significantly impacting signal coherence and diminishing the effectiveness of spatial power distribution. To address this issue, this paper first conducts a theoretical analysis to demonstrate how phase synchronization errors degrade performance in spatial power control. A beacon-aided calibration framework is then proposed, designed for real-time operation and focused on calibrating phase synchronization errors induced by time synchronization errors. First, a practical calibration model that incorporates multiple non-ideal factors, such as UAV vibrations and oscillator phase noise, is established. However, this model is difficult to solve. To overcome its intractability and improve the calibration accuracy, a multi-stage process is employed to transform the problem into a solvable Quadratically Constrained Quadratic Program (QCQP). An efficient algorithm based on the Majorization-Minimization (MM) method is then utilized to solve the QCQP. To provide a fundamental performance benchmark, the Cramér-Rao Lower Bound (CRLB) is derived. Numerical simulations demonstrate that the proposed framework effectively compensates for phase synchronization errors, yielding significant improvements in spatial power control for FED.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2025-08-25
DOI
https://doi.org/10.1109/taes.2025.3602377
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Phase Synchronization Error Calibration in Focused Energy Delivery for Precision Electronic Warfare

Bowen Ding, Bo Peng, Wei Wang, Dan Song et al.
IEEE Transactions on Aerospace and Electronic Systems
Advanced Optical Sensing Technologies
article

Phase Synchronization Error Calibration in Focused Energy Delivery for Precision Electronic Warfare

Bowen Ding, Bo Peng, Wei Wang, Dan Song, Boyu Han
article en

Abstract

Phase synchronization errors are unavoidable in focused energy delivery (FED) scenarios, significantly impacting signal coherence and diminishing the effectiveness of spatial power distribution. To address this issue, this paper first conducts a theoretical analysis to demonstrate how phase synchronization errors degrade performance in spatial power control. A beacon-aided calibration framework is then proposed, designed for real-time operation and focused on calibrating phase synchronization errors induced by time synchronization errors. First, a practical calibration model that incorporates multiple non-ideal factors, such as UAV vibrations and oscillator phase noise, is established. However, this model is difficult to solve. To overcome its intractability and improve the calibration accuracy, a multi-stage process is employed to transform the problem into a solvable Quadratically Constrained Quadratic Program (QCQP). An efficient algorithm based on the Majorization-Minimization (MM) method is then utilized to solve the QCQP. To provide a fundamental performance benchmark, the Cramér-Rao Lower Bound (CRLB) is derived. Numerical simulations demonstrate that the proposed framework effectively compensates for phase synchronization errors, yielding significant improvements in spatial power control for FED.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(6)
Sun Yat-sen University (CN), National University of Defense Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 78%
Advanced Optical Sensing Technologies
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.