Evidence map›Paper›PMID 42352224›Full record

ArticleEntropy (Basel, Switzerland)2026

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Zheming Zhang, Junbin Lou, Yuanjin Lyu, Fanghui Huang, Dawei Wang, Sixu Lu, Yixin He

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zheming ZhangCollege of Information Science and Engineering, Jiaxing University, Jiaxing 314001, China.
Junbin LouCollege of Mechanical Engineering, Jiaxing University, Jiaxing 314001, China.
Yuanjin LyuCollege of Information Science and Engineering, Jiaxing University, Jiaxing 314001, China.ORCID 0009-0006-3870-5251
Fanghui HuangCollege of Artificial Intelligence, Jiaxing University, Jiaxing 314001, China.ORCID 0000-0002-9897-0552
Dawei WangSchool of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China.ORCID 0000-0001-9981-3623
Sixu LuCollege of Information Science and Engineering, Jiaxing University, Jiaxing 314001, China.
Yixin HeCollege of Information Science and Engineering, Jiaxing University, Jiaxing 314001, China.ORCID 0000-0002-8758-3776

Funding

National Natural Science Foundation of China Grants 62401230, 62503196, and 62271399``Pioneer'' and ``Leading Goose'' R&D Program of Zhejiang Grant 2026LDC01003 (JT)Program of ``Xinmiao'' (Potential) Talents in Zhejiang Province NoneZhejiang Provincial Postdoctoral Research Project Preferential Funding of China Grant ZJ2025210
6 · The paper itself

Abstract

This paper targets the air-to-ground (A2G) data backhaul scenario of UAVs and proposes a communication system based on coherent optical zero-padding orthogonal frequency division multiplexing (CO-ZP-OFDM), which unifies atmospheric turbulence scintillation, pointing errors, and Doppler frequency shift into a composite channel model. The system employs the Gamma-Gamma (GG) distribution to describe turbulence-induced intensity fluctuations, a Gaussian beam truncation model to characterize pointing errors, and a dual-pilot method to estimate and compensate the Doppler frequency offset. Furthermore, on a polarization-time-frequency (PTF) three-dimensional orthogonal grid pilot structure, we derive theoretical mean square error (MSE) expressions for the zero-forcing (ZF) and minimum mean square error (MMSE) estimators, and analyze their MSE characteristics under the proposed pilot model. Simulation results show that, under moderate turbulence, the shrinkage factor of the MMSE estimator yields only about 0.4 dB MSE reduction over ZF at SNR=10 dB, whereas the full receiver pipeline that combines coherence-bandwidth pilot averaging with the MMSE and maximum ratio combining (MRC) equalizer reduces the empirical MSE by approximately 15 dB. The bit error rate (BER) performance tests indicate that, under turbulence-free conditions with ideal channel estimation, the system can reduce the BER below 10-4 at an SNR of approximately 12 dB. Under strong turbulence conditions with MMSE channel estimation, the SNR cost required to achieve a BER of 10-3 is approximately 18 dB, which corresponds to a 3 to 5 dB BER gain over the ZF baseline at the same SNR. Further simulation analysis shows that the average pointing loss is highly sensitive to the angular jitter at the 1 km link distance: an angular jitter of 1 mrad incurs about 18 dB of loss, and a sub-mrad pointing stability (i.e., σjit<0.062 mrad) is required to keep the average pointing loss below 1 dB.

Indexed as

CO-ZP-OFDMGamma-Gamma turbulenceMMSE channel estimationUAV optical communication

Identifiers

PMID42352224
PMCPMC13298182

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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.