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Blind signal-to-noise-ratio estimation for a constant envelope MIMO MC-CDMA system using cyclic delay diversity

机译:使用循环延迟分集的恒定包络MIMO MC-CDMA系统的盲信噪比估计

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Data aided signal space projection based signal-to-interference plus noise-ratio (SINR) estimators have been previously proposed for time-division-multiple-access (TDMA) cellular systems and are well known for their excellent performance and computational simplicity. This paper presents a blind signal projection (SP) based SNR estimator for a constant envelope multicarrier code division multiple access (MC-CDMA) system that uses cyclic delay diversity (CDD) and operates on a time varying frequency selective fading channel. Because the orthogonal spreading sequences form the basis of the signal space, a training sequence or data decisions are not needed and orthonormalization is not required. Thus, the proposed SNR estimator is computationally efficient and very accurate estimates are achieved without sacrificing power and bandwidth.
机译:先前已经为时分多址(TDMA)蜂窝系统提出了基于数据辅助信号空间投影的信干噪比(SINR)估计器,并且以其出色的性能和计算简便性而闻名。本文提出了一种基于盲信号投影(SP)的SNR估计器,用于恒定包络多载波码分多址(MC-CDMA)系统,该系统使用循环延迟分集(CDD)并在时变频率选择性衰落信道上运行。因为正交扩频序列构成了信号空间的基础,所以不需要训练序列或数据决策,也不需要正交归一化。因此,所提出的SNR估计器在计算上是有效的,并且在不牺牲功率和带宽的情况下实现了非常准确的估计。

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