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On angular-domain channel estimation for one-bit massive MIMO systems with fixed and time-varying thresholds

机译：具有固定和时变阈值的一比特大规模MIMO系统的角域信道估计

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This paper considers angular-domain channel estimation for massive MIMO systems with one-bit analog-to-digital converters (ADCs) at base stations. We characterize analytical performance, in terms of the Cramer-Rao bound (CRB), on estimating the two-dimensional channel matrix (including angle-of-departure, angle-of-arrival and associated channel path gains) in the angular-domain representation. Our analysis provides a simple tool to compare channel estimation performance among several one-bit quantization schemes. We demonstrate that, with a fixed zero-threshold and when the noise variance is unknown, the Fisher information matrix becomes singular due to an ambiguity between the channel path gain and noise variance. This ambiguity can be removed if one-bit ADCs use a non-zero or a time-varying threshold quantization scheme. Numerical results are provided for performance verification as a function of SNR and the number of pilots.
机译：本文考虑了在基站使用一比特模数转换器（ADC）的大规模MIMO系统的角域信道估计。我们以Cramer-Rao界线（CRB）来表征在角域表示中估算二维通道矩阵（包括离场角，到达角和相关的通道路径增益）时的分析性能。我们的分析提供了一个简单的工具，可以比较几种一位量化方案之间的信道估计性能。我们证明，在零阈值固定的情况下，当噪声方差未知时，由于信道路径增益和噪声方差之间的歧义，Fisher信息矩阵变得奇异。如果一位ADC使用非零或随时间变化的阈值量化方案，则可以消除这种歧义。提供了数值结果，以作为SNR和导频数的函数进行性能验证。

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