OFDM慢变瑞利多径信道估计的在线贝叶斯Cramer-Rao界

Hussein Hijazi, L. Ros
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引用次数: 5

摘要

研究了4-QAM OFDM系统中时变多径瑞利信道动态估计的在线贝叶斯Cramer-Rao下界问题。在一个符号和延迟相关信息的信道变化可以忽略不计的情况下,导出了数据辅助(DA)上下文的真BCRB和非数据辅助(NDA)上下文的两个封闭形式表达式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On-line Bayesian Cramer-Rao Bounds for OFDM slowly varying rayleigh multi-path channel estimation
The on-line Bayesian Cramer-Rao (BCRB) lower bound for the dynamic estimation of a time-varying multi-path Rayleigh channel in 4-QAM OFDM system is considered. In case of negligible channel variation within one symbol and delay related information, true BCRB for data-aided (DA) context, and two closed-form expressions for non-data aided (NDA) context are derived.
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