基于星座分析的在役OFDM误差层测试

Adriana Lipovac, Sibila Isak-Zatega, Pamela Njemcevic
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引用次数: 3

摘要

剩余误码率是端到端传输性能的最终指标,但在实践中只能通过服务外测试来评估,网络运营商尤其试图避免这种测试,而更倾向于使用服务内的实际测试方法。在这方面,星座分析是一个很好的工具,不仅可以识别和可视化各种产生误差的模拟损伤,如功率放大器压缩、载波锁角和正交误差,而且还可以在多径信道上进行OFDM传输的误码率估计。本文在回顾星座分析概念的基础上,将星座分析的关键参数闭合性与时延色散标准描述参数平均时延色散联系起来,用等效的加性高斯白噪声源对多径时延色散进行建模,从而对相应修正的残差误码率表达式产生相同的退化。在LTE下行环境下的样例测试情况下,基于在役星座的误差下限与预测误差下限匹配良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In-service testing OFDM error floor by constellation analysis
Residual BER — error floor is the ultimate metrics for the end-to-end transmission performance, but in practice can be assessed only by out-of-service tests, which network operators in particular try to avoid best they can, preferring in-service practical test methods. In this regard, constellation analysis is an excellent tool to not only identify and visualize various error generating analog impairments such as power amplifier compression, carrier lock angle and quadrature errors, but also enable in-service estimation of BER with OFDM transmission over multipath channel. In this paper, after reviewing concepts of constellation analysis, we relate the crucial constellation analysis parameter — closure to the delay dispersion standard describing parameter — mean delay spread, so modeling the multipath delay dispersion with the equivalent additive white Gaussian noise source that would produce the same degradation of the accordingly modified residual BER expression. For the exemplar test situation in the LTE downlink environment, very good matching was found between the in-service constellation — based and the predicted error floor values.
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