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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

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Closed-form suboptimal maximum-likelihood sequence detection for free-space optical communications.

Lu Zhang¹, Zhiyong Wu

¹Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, China. LZhangpai@gmail.com

|October 4, 2012

Summary

This summary is machine-generated.

This study introduces a simplified maximum-likelihood sequence detection (MLSD) metric for free space optical communications. The new algorithm offers comparable performance to optimal MLSD with significantly reduced computational time.

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Area of Science:

Optical Communications
Signal Processing
Information Theory

Background:

Free space optical (FSO) communication systems face challenges from atmospheric turbulence, leading to lognormal fading.
High signal-to-noise ratio (SNR) channels are common in FSO, but efficient detection remains critical.
Existing suboptimal maximum-likelihood sequence detection (MLSD) algorithms may have limitations in parameter independence and computational complexity.

Purpose of the Study:

To propose a closed-form suboptimal maximum-likelihood sequence detection (MLSD) metric for FSO systems.
To develop a low-complexity version of the proposed MLSD metric.
To simplify existing MLSD algorithms and improve computational efficiency.

Main Methods:

Development of a closed-form suboptimal MLSD metric tailored for lognormal fading channels.
Derivation of a computationally efficient variant of the proposed metric.
Performance evaluation using bit error rate (BER) analysis.

Main Results:

The proposed MLSD metric demonstrates performance comparable to optimal MLSD.
The algorithm's parameters are independent of scintillation index variations.
The low-complexity version significantly reduces computational time compared to prior suboptimal methods.

Conclusions:

The proposed closed-form suboptimal MLSD metric offers an efficient and robust solution for FSO systems.
The low-complexity version provides a practical advantage by saving significant computational resources.
This work contributes to improved performance and efficiency in optical wireless communications.