湍流信道下基于PPM调制的UWOC系统LDPC译码算法性能分析

IF 1.1 4区 物理与天体物理 Q4 OPTICS
Feng Ji, Da-Shuai Wang, Le Wang, Shou-Feng Tong
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引用次数: 0

摘要

湍流效应是导致水下无线光通信(UWOC)系统性能下降的重要因素。为了提高通信系统的可靠性,本文采用了基于低密度校验码(LDPC)和脉冲位置调制(PPM)的UWOC系统来克服湍流带来的影响,并提出了一种改进的偏移最小和算法来对抗湍流信道干扰。采用广义伽玛分布(GGD)作为信道模型,通过仿真,量化了不同湍流强度下误码率、信噪比、LDPC译码算法和PPM阶数之间的关系。结果表明:改进后的OMS算法在弱、中、强湍流条件下性能最优;在\({\sigma }_{I}^{2}\) =2.0399和BER = 10-6时,4- ppm、8-PPM和16-PPM调制下的改进OMS算法编码增益分别为0.16 dB、1.2 dB和4 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis of LDPC decoding algorithm based on PPM modulation for UWOC system under turbulent channel

Turbulence effect is an important factor leading to performance degradation of underwater wireless optical communication (UWOC) systems. In order to improve the reliability of the communication system, this paper adopts a UWOC system based on low-density parity-check (LDPC) code and pulse position modulation (PPM) to overcome the effects caused by turbulence, and proposes an improved Offset Min-Sum algorithm to combat turbulent channel interference. The generalized gamma distribution (GGD) distribution is used as the channel model, and the relationship between BER, SNR, different of LDPC decoding algorithms, and PPM order is quantified by simulation for different turbulence intensities.The results show that the performance of the improved OMS algorithm is optimal under weak, moderate, and strong turbulence; at \({\sigma }_{I}^{2}\)=2.0399 and BER = 10–6, the improved OMS algorithm with 4-PPM, 8-PPM, and 16-PPM modulation has a coding gain of 0.16 dB, 1.2 dB, and 4 dB, respectively, compared with the OMS algorithm.

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来源期刊
Optical Review
Optical Review 物理-光学
CiteScore
2.30
自引率
0.00%
发文量
62
审稿时长
2 months
期刊介绍: Optical Review is an international journal published by the Optical Society of Japan. The scope of the journal is: General and physical optics; Quantum optics and spectroscopy; Information optics; Photonics and optoelectronics; Biomedical photonics and biological optics; Lasers; Nonlinear optics; Optical systems and technologies; Optical materials and manufacturing technologies; Vision; Infrared and short wavelength optics; Cross-disciplinary areas such as environmental, energy, food, agriculture and space technologies; Other optical methods and applications.
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