Evidence map›Paper›PMID 42655388›Full record

ArticleSensors (Basel, Switzerland)2026

Rydberg-Atom-Based Angle-of-Arrival Estimation Method for Ku-Band Microwave Signals.

Xingchen Hu, Hao Wu, Yong Gao, Beibei Zhang, Peicheng Liu, Songlin Chen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xingchen HuLab of Quantum Detection & Awareness, Space Engineering University, Beijing 101416, China.
Hao WuLab of Quantum Detection & Awareness, Space Engineering University, Beijing 101416, China.
Yong GaoSchool of Space Command, Space Engineering University, Beijing 101416, China.
Beibei ZhangEarth Observation System and Data Center China National Space Administration, Beijing 100048, China.
Peicheng LiuLab of Quantum Detection & Awareness, Space Engineering University, Beijing 101416, China.ORCID 0009-0004-7278-4227
Songlin ChenThe Fourth Business Division, Southwest China Institute of Electronic Technology, Chengdu 610045, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The determination of the angle of arrival (AoA) of Ku-band microwave signals is of great significance in satellite communications, spectrum monitoring, and national defense security, which has created an urgent demand for high-precision and interference-resistant passive detection techniques. In this study, we propose a Rydberg-atom-based passive measurement method for estimating the AoA of Ku-band incident signals. Based on well-established quantum optical techniques, the proposed method converts the EIT-AT splitting intervals induced by waves or signals incident from different directions in Rydberg atoms within a single vapor cell into the electric-field intensity at the atomic sensor. An electric-field-intensity-angle response model is then established for AoA estimation of a 13.6 GHz wave or signal. Simulation results demonstrate that the proposed method can determine the incident direction within a certain angular range, with an estimation error of less than 3.8°. Without the need for self-calibration and free from interference caused by actively emitted probing electromagnetic waves or reference electric fields, the proposed approach enables AoA determination of incident waves or signals using a single vapor cell with a length of 5 cm.

Indexed as

AoA estimationeffective electric-field intensity response functionEIT-AT splittingmicrowave electric-field sensingRydberg-atom

Identifiers

PMID42655388
PMCPMC13517347

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.