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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:基于数据辅助信号空间投影基于信号到干扰加噪声比(SINR)估计器已经提出用于时分多址(TDMA)蜂窝系统,并且众所周知的是它们出色的性能和计算简单。本文介绍了一种基于盲信号投影(SP)的SNR估计器,用于恒定的信封多载波码分多次访问(MC-CDMA)系统,它使用循环延迟分集(CDD)并在时间变化频率选择性衰落通道上操作。因为正交扩展序列形成信号空间的基础,所以不需要训练序列或数据决策,并且不需要正常化。因此,所提出的SNR估计器是计算上有效的,并且在不牺牲电力和带宽的情况下实现非常准确的估计。

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