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Updated: Feb 26, 2026

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对符号错误概率评估的q-韦布尔色通道的性能分析,使用更严格的高斯Q近似方法来评估符号错误概率
Sarbeswar Samal1, Sujata Chakravarty1, Tanmay Mukherjee2
1Department of Computer Science and Engineering, Centurion University of Technology and Management, Jatni, Bhubaneswar, Odisha, 752050, India.
Scientific reports
|February 24, 2026
概括
本研究介绍了高斯的Q函数的新近似,用于准确计算无线系统中的符号错误概率 (SEP). 新方法在所有信号噪声比率 (SNR) 中提供了更紧密的适配,并为q-Weibull色通道提供了分析解决方案.
科学领域:
- 无线通信无线通信
- 信息理论 信息理论
- 数学分析的数学分析
背景情况:
- 准确评估符号错误概率 (SEP) 对无线系统性能至关重要.
- 对于高斯Q函数的现有近似可能在整个信号噪声比率 (SNR) 范围内缺乏准确性.
- 基于Tsallis的的q-Weibull色模型,为模拟无线通道提供了适应性特征.
研究的目的:
- 为高斯的Q函数开发一个紧密和封闭形式的近似.
- 在q-韦布尔色通道上推导SEP的分析解决方案.
- 在q-Weibull模型中分析性能指标,如水平穿越率 (LCR) 和平均色持续时间 (AFD).
主要方法:
- 采用高斯-莱根德四点法则来推导高斯 Q 函数的指数式近似.
- 应用导出近似来获得分析SEP解决方案的q-韦布尔色通道.
- 研究度指数 (q) 和形状参数 (λ) 对SEP,LCR和AFD的影响.
主要成果:
- 提出的指数式近似方法与SEP计算的现有方法相比,显示出更高的一致性.
- 该近似在低至高的SNR范围中提供了更紧密的匹配.
- 通过q-Weibull通道成功地获得了SEP,LCR和AFD的分析解决方案,显示了具有不同"q"的适应性行为.
结论:
- 新的高斯式Q函数近似提高了无线色环境中的SEP计算精度.
- 对于q-Weibull通道的分析解决方案为在适应性色条件下的系统性能提供了有价值的见解.
- 这项研究为建模和分析无线通信系统提供了更准确,更灵活的方法.
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