A Measurement Method for the Phase Difference of Coherently Combined Distributed Apertures

Coherently Combined Distributed Apertures (CCDAs) offer a promising approach to achieve high-resolution sensing through coordinated small-aperture elements. Accurate phase difference measurement between distributed apertures remains a fundamental challenge—especially for practical scenarios of large-spacing CCDAs in compact measurement environments. This paper proposes a phase difference measurement methodology for CCDA systems, comprising a specialized multi-probe receiving system and a computational algorithm. The multi-probe receiving system employs three receiving antennas with optimized spatial spacing to capture coherently combined signals. Concurrently, the computational algorithm establishes a linear equation system that correlates the coherently combined signals’ powers with the phase difference between distributed apertures, enabling phase estimation via low-complexity computation. Notably, the measurement process operates without requiring any parameter adjustment to the distributed apertures, thereby preserving system operation. Theoretical accuracy of the proposed method is clarified through mathematical derivations while considering both thermal noise and circuit imperfections, and analyzed through Monte Carlo simulations. Measurement experiments of a CCDA prototype are conducted and the results indicate that the proposed method is feasible and accurate. The measured phase errors are constrained within ±7.2°, and 95% of cases are below ±5°. This advancement enhances the practicality of distributed aperture systems in real-time applications such as phased array radar and millimeter-wave communications.

Institutions

Publication Details

Journal
IEEE Transactions on Antennas and Propagation
Published
2025-09-24
DOI
https://doi.org/10.1109/tap.2025.3611667
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

A Measurement Method for the Phase Difference of Coherently Combined Distributed Apertures

IEEE Transactions on Antennas and Propagation
Geochemistry and Geologic Mapping
article

A Measurement Method for the Phase Difference of Coherently Combined Distributed Apertures

article en

Abstract

Coherently Combined Distributed Apertures (CCDAs) offer a promising approach to achieve high-resolution sensing through coordinated small-aperture elements. Accurate phase difference measurement between distributed apertures remains a fundamental challenge—especially for practical scenarios of large-spacing CCDAs in compact measurement environments. This paper proposes a phase difference measurement methodology for CCDA systems, comprising a specialized multi-probe receiving system and a computational algorithm. The multi-probe receiving system employs three receiving antennas with optimized spatial spacing to capture coherently combined signals. Concurrently, the computational algorithm establishes a linear equation system that correlates the coherently combined signals’ powers with the phase difference between distributed apertures, enabling phase estimation via low-complexity computation. Notably, the measurement process operates without requiring any parameter adjustment to the distributed apertures, thereby preserving system operation. Theoretical accuracy of the proposed method is clarified through mathematical derivations while considering both thermal noise and circuit imperfections, and analyzed through Monte Carlo simulations. Measurement experiments of a CCDA prototype are conducted and the results indicate that the proposed method is feasible and accurate. The measured phase errors are constrained within ±7.2°, and 95% of cases are below ±5°. This advancement enhances the practicality of distributed aperture systems in real-time applications such as phased array radar and millimeter-wave communications.

IEEE Transactions on Antennas and PropagationVol. 73(12)
Naval University of Engineering (CN)
Openalex Percentile: Top 29%
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.