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Blind channel and carrier frequency offset estimation using periodic modulation precoders

机译:使用周期性调制预编码器的盲信道和载波频率偏移估计

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Previous results have shown that blind channel estimators, which are resilient to the location of channel zeros, color of additive stationary noise, and channel order overestimation errors, can be developed for communication systems equipped with transmitter-induced cyclostationarity precoders. The present paper extends these blind estimation approaches to the more general problem of estimating the unknown intersymbol interference (ISI) and carrier frequency offset/Doppler effects using such precoders. An all-digital open-loop carrier frequency offset estimator is developed, and its asymptotic (large sample) performance is analyzed and compared to the Cramer-Rao bound (CRB). A subspace-based channel identification approach is proposed for estimating, in closed-form, the unknown channel, regardless of the channel spectral nulls. It is shown that compensating for the carrier frequency offset introduces no penalty in the asymptotic performance of the subspace channel estimator. Simulations are presented to corroborate the performance of the proposed algorithms.
机译:先前的结果表明,对于配备有发射机引起的循环平稳性预编码器的通信系统,可以开发出对信道零的位置,附加静态噪声的颜色以及信道阶次高估误差具有弹性的盲信道估计器。本文将这些盲估计方法扩展到更普遍的问题,即使用此类预编码器估计未知符号间干扰(ISI)和载波频率偏移/多普勒效应。开发了全数字开环载波频率偏移估计器,并分析了其渐近(大样本)性能并将其与Cramer-Rao界(CRB)进行了比较。提出了一种基于子空间的信道识别方法,用于以闭环形式估计未知信道,而不管信道频谱为零。结果表明,补偿载频偏移不会对子空间信道估计器的渐近性能造成任何影响。仿真结果证实了所提出算法的性能。

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