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Improved bit error rate estimationover experimental optical wireless channels

机译:改进的误码率估计实验光无线通道

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As a part of the EU-FP7 R&D programme, the OMEGA project (hOME Gigabit Access) aims at bridging the gap between wireless terminals and wired backbone network in homes, providing high bit rate connectivity to users. Beside radio frequencies, the wireless links will use Optical Wireless (OW) communications. To guarantee high performance and quality of service in real-time, our system needs techniques to approximate the Bit Error Probability (BEP) with a reasonable training sequence. Traditionally, the BEP is approximated by the Bit Error Rate (BER) measured by counting the number of errors within a given sequence of bits. For small BERs, required sequences are huge and may prevent real-time estimation. In this paper, methods to estimate BER using Probability Density Function (PDF) estimation are presented. Two a posteriori techniques based on Parzen estimator or constrained Gram-Charlier series expansion are adapted and applied to OW communications. Aided by simulations, comparison is done over experimental optical channels. We show that, for different scenarios, such as optical multipath distortion or a well designed Code Division Multiple Access (CDMA) system, this approach outperforms the counting method and yields to better results with a relatively small training sequence.
机译:作为EU-FP7研发计划的一部分,欧米茄项目(家庭千兆访问)旨在弥合家庭中无线终端和有线骨干网之间的差距,为用户提供高比特率连接。除磁频率外,无线链路将使用光学无线(OW)通信。为了实时保证高性能和服务质量,我们的系统需要使用合理的训练序列来近似误码概率(BEP)的技术。传统上,BEP通过计算给定序列内的错误数量来测量的误码率(BER)近似。对于小型BER,所需的序列是巨大的并且可以防止实时估计。本文介绍了使用概率密度函数(PDF)估计来估计BER的方法。两个基于Parzen Estimator或约束克查理系列扩展的后验技术进行了调整和应用于通信。通过模拟辅助,通过实验光学通道进行比较。我们表明,对于不同的场景,例如光学多路径失真或良好设计的码分多址(CDMA)系统,这种方法优于计数方法,并产生与相对小的训练序列的更好结果。

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