Massive Mimo Channel Estimation with 1-Bit Spatial Sigma-delta ADCS

Massive Mimo Channel Estimation with 1-Bit Spatial Sigma-delta ADCS
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DOI：
10.1109/icassp.2019.8682842
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发表时间：
2019-05
期刊：
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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通讯作者：
Shilpa Rao;A. L. Swindlehurst;Hessam Pirzadeh
Shilpa Rao;A. L. Swindlehurst;Hessam Pirzadeh
中科院分区：
其他
文献类型：
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作者：
Shilpa Rao;A. L. Swindlehurst;Hessam Pirzadeh

文献摘要

相似文献

我们考虑上行链路大规模多输入多输出 (MIMO) 系统的信道估计，其中基站 (BS) 使用一阶空间 Sigma-Delta (Σ△) 模数转换器 (ADC) 阵列。 Σ△ 阵列由紧密间隔的传感器组成，这些传感器对接收信号进行过采样并提供粗略量化（1 位）输出。我们开发了一种基于 Bussgang 分解的线性最小均方误差 (LMMSE) 估计器，该估计器使用等效线性模型加上量化噪声重新表述非线性量化器模型。通过仿真与使用标准 1 位量化以及无限分辨率 ADC 的信道估计对所提出的 Σ△ LMMSE 估计器的性能进行了比较。
We consider channel estimation for an uplink massive multiple input multiple output (MIMO) system where the base station (BS) uses a first-order spatial Sigma-Delta (Σ△) analogto-digital converter (ADC) array. The Σ△ array consists of closely spaced sensors which oversample the received signal and provide a coarsely quantized (1-bit) output. We develop a linear minimum mean squared error (LMMSE) estimator based on the Bussgang decomposition that reformulates the nonlinear quantizer model using an equivalent linear model plus quantization noise. The performance of the proposed Σ△ LMMSE estimator is compared via simulation to channel estimation using standard 1-bit quantization and also infinite resolution ADCs.