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SNR estimation based on PRACH Preambles in LTE uplink

机译:基于PRACH上行链路的PRACH前导码的SNR估计

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In the LTE systems, the PRACH receiver does cyclic cross-correlation to detect Preamble Index and estimate the Timing Advance used for uplink synchronization. Though Base Station receives noisy random access signal but usual PRACH receiver does not estimate noise and hence SNR is seldom touched. However if eNodeB has to schedule the L2/L3 message in a frequency-selective manner within the PRACH bandwidth and to have prior-knowledge for uplink channel condition then SNR estimation is requisite. This not only improves the system capacity but also improves performance. A novel SNR estimation based on received random access signal is proposed in this paper. The proposed algorithm performance is measured through Monte-Carlo simulations on a different channel models and the simulation results show that the algorithm closely resembles to un-biased SNR estimator with bias of ≤1dB for a wide SNR range.
机译:在LTE系统中,PRACH接收器确实循环互相关与检测前导码索引并估计用于上行链路同步的定时预付款。虽然基站接收嘈杂的随机接入信号但通常的PRACH接收器不会估计噪声,因此SNR很少触摸。然而,如果eNodeB必须以PRACH带宽以频率选择性方式安排L2 / L3消息,并且具有用于上行链路信道条件的先前知识,则需要SNR估计。这不仅可以提高系统容量,还可以提高性能。本文提出了一种基于接收的随机接入信号的新型SNR估计。所提出的算法性能是通过在不同的信道模型上的Monte-Carlo模拟测量的,并且模拟结果表明该算法非常类似于未偏置的SNR估计器,偏置≤1dB的宽度范围。

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