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Millimeter-Wave Beamformed Full-dimensional MIMO Channel Estimation Based on Atomic Norm Minimization

机译:毫米波波束形成的全维mImO信道估计   基于原子范数最小化

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摘要

The millimeter-wave (mmWave) full-dimensional (FD) MIMO system employs planararrays at both the base station and user equipment and can simultaneouslysupport both azimuth and elevation beamforming. In this paper, we proposeatomic-norm-based methods for mmWave FD-MIMO channel estimation under bothuniform planar arrays (UPA) and non-uniform planar arrays (NUPA). Unlikeexisting algorithms such as compressive sensing (CS) or subspace methods, theatomic-norm-based algorithms do not require to discretize the angle spaces ofthe angle of arrival (AoA) and angle of departure (AoD) into grids, thusprovide much better accuracy in estimation. In the UPA case, to reduce thecomputational complexity, the original large-scale 4D atomic norm minimizationproblem is approximately reformulated as a semi-definite program (SDP)containing two decoupled two-level Toeplitz matrices. The SDP is then solvedvia the alternating direction method of multipliers (ADMM) where each iterationinvolves only closed-form computations. In the NUPA case, the atomic-norm-basedformulation for channel estimation becomes nonconvex and agradient-decent-based algorithm is proposed to solve the problem. Simulationresults show that the proposed algorithms achieve better performance than theCS-based and subspace-based algorithms.
机译:毫米波(mmWave)全尺寸(FD)MIMO系统在基站和用户设备处均采用平面阵列,并且可以同时支持方位角和仰角波束形成。在本文中,我们提出了在均匀平面阵列(UPA)和非均匀平面阵列(NUPA)下毫米波FD-MIMO信道估计的基于原子范数的方法。与压缩算法(CS)或子空间方法等现有算法不同,基于解剖规范的算法不需要将到达角(AoA)和离开角(AoD)的角度空间离散为网格,从而在估计中提供了更高的准确性。在UPA情况下,为降低计算复杂性,将原始的大规模4D原子范数最小化问题近似重新表示为包含两个解耦的两级Toeplitz矩阵的半定程序(SDP)。然后通过交替方向乘数法(ADMM)求解SDP,其中每次迭代仅涉及封闭形式的计算。在NUPA的情况下,用于信道估计的基于原子范数的公式变得不凸,提出了一种基于梯度体面的算法来解决该问题。仿真结果表明,所提出的算法比基于CS和基于子空间的算法具有更好的性能。

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