OWC扩频通信系统Mahalanobis距离相关采集的实验验证

IF 3.7 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2024-10-10 DOI:10.1109/LCOMM.2024.3477560

Kaiwen Zheng;Jiale Wang;Benben Li;Jie Lian;Dianbin Lian;Yan Gao;Guolei Zhu

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引用次数: 0

摘要

光通信扩频系统以其鲁棒性和抗干扰能力而闻名。然而，它们可能受到非高斯噪声的影响，从而导致时钟同步失败和误报率增加等挑战。为了解决这一问题，本研究从检测信号相关值转向关注其分布特征。该方法利用自适应高斯混合模型建立背景噪声相关值的分布，并利用加权马氏距离对扩频信号进行有效区分。在信噪比（SNR）为-15 dB的条件下进行的实验表明，该算法显著提高了信号检测精度，达到58%以上。

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Experimental Demonstration of Mahalanobis Distance Correlation Acquisition for OWC Spread Spectrum Communication Systems

Optical wireless communication spread spectrum systems are known for their robustness and ability to resist interference. However, they can be impacted by non-Gaussian noise, leading to challenges such as clock synchronization failures and increased false alarm rates. To tackle this issue, this study transitions from examining signal correlation values to focusing on their distribution characteristics. The approach involves utilizing an adaptive Gaussian mixture model to establish the distribution of background noise correlation values and employing the weighted Mahalanobis distance for effectively differentiating the spread spectrum signal. Through experiments conducted at a signal-to-noise ratio (SNR) of -15 dB, the proposed algorithm demonstrates a significant enhancement in signal detection accuracy, surpassing 58%.

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.