一种抗同步损伤的压缩信道估计技术
A compressive channel estimation technique robust to synchronization impairments
摘要：
由于波束成形之前的硬件非理想性和低SNR测量，毫米波频率下的初始接入是一个具有挑战性的问题。先前的工作已经利用了毫米波MIMO信道在空间角度域中稀疏的观察，并且已经使用基于压缩感知的算法进行信道估计。然而，他们中的大多数忽略了硬件损伤，如载波频率偏移和相位噪声，并且当考虑到这些损伤时不能很好地执行。在本文中，我们开发了一种压缩信道估计算法的窄带毫米波系统，这是鲁棒的非理想性。我们通过构建对毫米波信道和CFO进行建模的张量来解决这个问题，并在仍然利用毫米波信道的稀疏性的同时估计张量。仿真结果表明，在相同的设置下，我们的方法表现得更好，比可比的算法是强大的相位误差。
英文摘要：
Initial access at millimeter wave frequencies is a challenging problem due to hardware non-idealities and low SNR measurements prior to beamforming. Prior work has exploited the observation that mmWave MIMO channels are sparse in the spatial angle domain and has used compressed sensing based algorithms for channel estimation. Most of them, however, ignore hardware impairments like carrier frequency offset and phase noise, and fail to perform well when such impairments are considered. In this paper, we develop a compressive channel estimation algorithm for narrowband mmWave systems, which is robust to such non idealities. We address this problem by constructing a tensor that models both the mmWave channel and CFO, and estimate the tensor while still exploiting the sparsity of the mmWave channel. Simulation results show that under the same settings, our method performs better than comparable algorithms that are robust to phase errors.
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