| 黄继斌,何怡刚,隋永波,黄 源,吴裕庭.瑞利衰落信道模型的综合验证方法[J].电子测量与仪器学报,2020,34(11):10-18 |
| 瑞利衰落信道模型的综合验证方法 |
| Comprehensive verification method for rayleigh fading channel model |
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| DOI： |
| 中文关键词: 瑞利衰落信道 统计特性 拟合优度检验 多普勒功率谱密度 对数均方能量误差(LMSEE) |
| 英文关键词:Rayleigh fading channel statistical characteristics goodness of fit test Doppler power spectral density logarithmic mean
square energy error (LMSEE) |
| 基金项目:国家自然科学基金( 51577046)、国家自然科学基金重点项目( 51637004)、国家重点研发计划“ 重大科学仪器设备开发” 项目(2016YFF0102200)资助 |
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| 摘要点击次数: 634 |
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| 中文摘要: |
| 现有的信道模型验证方法大多只能验证衰落模型的一阶统计特性,即信号包络的幅值特性和相位特性。 由于衰落信道
模型的复杂性和多样性,已有的一阶统计特性验证方法不能对信道模型进行精确分类,提出一种瑞利衰落模型的综合验证方法。
首先通过一阶统计特性验证是否服从瑞利分布,然后由多普勒功率谱分布验证属于何种瑞利衰落模型,提取衰落信道复序列的多
普勒功率谱密度函数,计算与理论多普勒功率谱密度的对数均方能量误差(LMSEE),利用 LMSEE 判定多普勒功率谱分布类型,从
而完成对给定衰落信道模型的验证。 进行了大量仿真实验和实物验证,将输入信号通过各衰落信道模型后得到输出信号,分析输
出信号的统计分布,验证对常见瑞利衰落模型的识别性能,实验结果显示识别正确率超过 98%,表明了方法的有效性。 |
| 英文摘要: |
| Most of the existing channel model verification methods can only verify the first-order statistical characteristics of the fading
model, i. e. the amplitude and phase characteristics of the signal envelope. Due to the complexity and diversity of the fading channel
model, the existing first-order statistical characteristic verification methods cannot accurately classify the channel model. A
comprehensive verification method of Rayleigh fading model is proposed. Firstly, the Rayleigh distribution is verified by the first-order
statistical characteristics. Then the Rayleigh fading model is verified by the Doppler power spectrum distribution. The Doppler power
spectrum density function of the complex sequence of the fading channel is extracted. The logarithm mean square error (LMSEE) with
the theoretical Doppler power spectrum density is calculated, and the type of Doppler power spectrum distribution is determined by
LMSEE so as to complete the verification of the given fading channel model. A large number of simulation experiments and physical
verification are carried out. The input signal is passed through each fading channel model to get the output signal. The statistical
distribution of the output signal is analyzed to verify the recognition performance of common Rayleigh fading models. The experimental
results show that the recognition accuracy is more than 98%, which shows the effectiveness of this method. |
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