MétaCan
Menu
Back to cohort
Record W4409642005 · doi:10.1109/tmtt.2025.3556855

Photonic-Assisted Joint Radar and Communication System Using Overlapped Spectrum for High-Resolution Ranging and High-Speed Data Transmission

2025· article· en· W4409642005 on OpenAlexaff
Jingxu Chen, Haikun Huang, Ruiqi Zheng, Baohang Mo, Zhenzhao Yi, Jianghai Wo, Jiejun Zhang, Xudong Wang, Xinhuan Feng, Jianping Yao

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversity of Ottawa
FundersGuangxi Key Research and Development ProgramNational Key Research and Development Program of China
KeywordsRangingRadarPhotonicsTransmission (telecommunications)Computer scienceJoint (building)Electronic engineeringData transmissionRemote sensingTelecommunicationsOpticsPhysicsEngineeringGeologyComputer hardware

Abstract

fetched live from OpenAlex

We propose and demonstrate a photonic-assisted joint radar and communication (JRC) system using a JRC signal with overlapped spectrum to support simultaneous wideband ranging and high-speed communications. For radar ranging, an electrical linearly-frequency-modulated (LFM) waveform is modulated on an optical carrier at a Mach-Zehnder modulator (MZM) biased at the null point to generate odd-order sidebands. By filtering out the first-order sidebands, two third-order sidebands are obtained. By beating the two sidebands at a photodetector (PD), a frequency-sextupled electrical LFM with sextupled bandwidth is generated. For wireless communications, a binary phase-shift keying (BPSK) or quadrature phase-shift keying (QPSK) signal is modulated on one of the third-order sidebands. By beating the modulated sideband with the other unmodulated sideband, a frequency upconverted wireless signal is generated. The JRC signals are radiated to free space. At the radar receiver, the echo signal is applied to another MZM where the signal is optically dechirped to extract the target information. At the communication receiver, the JRC signal is received and applied to an MZM, where the radar and the communication signals beat to generate the original communication signal. Since no local oscillator (LO) signal is employed, the system is greatly simplified. The dual functions of the system are evaluated by an experiment. For radar ranging, a wideband LFM radar signal with a 9.6-GHz bandwidth is generated, and radar ranging with a high range resolution of 2.5 cm is obtained. For wireless communication, a 4-GBaud/s BPSK and a 2-GBaud/s QPSK signal are transmitted over 20 m, with the bit error rates (BERs) of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.82\times 10^{-5}$</tex-math> </inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.96\times 10^{-5}$</tex-math> </inline-formula>, respectively, which are below the forward error correction (FEC) limit for error free communications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.853
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.265
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Transactions on Microwave Theory and TechniquesSame topicAdvanced Photonic Communication SystemsFrench-language works237,207