I-OMP: an improved OMP algorithm for channel state identification in an underwater wireless optical communication...

Area of Science:

• Optical Engineering
• Wireless Communication
• Oceanography

Background:

• Underwater wireless optical communication (UWOC) offers high data rates and low latency.
• Accurate underwater channel modeling is critical for UWOC system performance.
• Existing models fail to precisely capture underwater channel states, limiting observability.

Purpose of the Study:

• To propose a novel hybrid-field channel model for UWOC that incorporates both far-field and near-field path components.
• To develop an improved orthogonal matching pursuit (I-OMP) algorithm for accurate underwater channel state estimation.
• To address limitations in existing UWOC channel models and enhance state observability.

Main Methods:

• A hybrid-field channel model integrating far-field and near-field path components is proposed.
• Signal-dependent shot noise (SDSN) is incorporated for precise underwater channel behavior description.
• An improved orthogonal matching pursuit (I-OMP) algorithm is developed to estimate channel components independently using distinct transform matrices.

Main Results:

• The proposed hybrid-field model accurately describes underwater channel behavior, including SDSN.
• The I-OMP algorithm demonstrates improved accuracy in estimating underwater channel states.
• Performance analysis confirms the superiority of I-OMP over existing methods in channel estimation.

Conclusions:

• The developed hybrid-field channel model and I-OMP algorithm significantly enhance the accuracy of underwater channel state estimation in UWOC systems.
• This work provides a more precise method for characterizing underwater optical communication channels.
• The proposed approach offers a notable advantage for improving the performance and reliability of UWOC systems.