This paper investigates terahertz ultra-massive (UM)-MIMO-based angle estimation for space-to-air communications, which can solve the performance degradation problem caused by the dual delay-beam squint effects of terahertz UM-MIMO channels. Specifically, we first design a grouping true-time delay unit module that can significantly mitigate the impact of delay-beam squint effects to establish the space-to-air THz link. Based on the subarray selection scheme, the UM hybrid array can be equivalently considered as a low-dimensional fully-digital array, and then the fine estimates of azimuth/elevation angles at both UAVs and satellite can be separately acquired using the proposed prior-aided iterative angle estimation algorithm. The simulation results that close to Cram\'{e}r-Rao lower bounds verify the effectiveness of our solution.
翻译:本文调查了对空对空通信的地表赫茨超大成象(UM)-MIMO角度估计,这种估计可以解决由地表光线UM-MIMO频道双延迟波束光谱效应造成的性能退化问题。具体地说,我们首先设计一个能够显著减轻延迟波束光谱效应影响的实时延迟单元模块,以建立空对空THZ链接。根据亚阵列选择方案,UM混合阵列可以被同等地视为一个低维全数数阵列,然后利用拟议的事先辅助的迭代角估计算法,可以分别获得无人机和卫星的方位/升位角的精细估计。靠近Cram\{e}r-Rao下界线的模拟结果可以验证我们解决方案的有效性。