论文标题
多源大型MIMO系统中的通道协方差估计，其方法基于无限尺寸希尔伯特空间
Channel covariance estimation in multiuser massive MIMO systems with an approach based on infinite dimensional Hilbert spaces
论文作者
论文摘要
我们提出了一种新型算法，以估计多源大型MIMO系统中所需用户的通道协方差矩阵。该算法仅使用阵列响应的知识和对传入信号的角度支撑的粗略知识，这些信号被认为是从定义明确的意义上分离出来的。为了得出算法，我们研究了使用现实模型将信号视为无限尺寸希尔伯特空间中连续功能的干扰模式。通过这样做，我们可以避免常见和不自然的简化，例如存在离散信号，理想的各向同性天线和无限大天线阵列。该算法的另一个优点是其计算简单性：它仅需要一个矩阵矢量乘法。在某些情况下，模拟表明，使用所提出的算法获得的估计值接近使用具有无干扰和无噪声系统运行的标准估计技术获得的估计。
We propose a novel algorithm to estimate the channel covariance matrix of a desired user in multiuser massive MIMO systems. The algorithm uses only knowledge of the array response and rough knowledge of the angular support of the incoming signals, which are assumed to be separated in a well-defined sense. To derive the algorithm, we study interference patterns with realistic models that treat signals as continuous functions in infinite dimensional Hilbert spaces. By doing so, we can avoid common and unnatural simplifications such as the presence of discrete signals, ideal isotropic antennas, and infinitely large antenna arrays. An additional advantage of the proposed algorithm is its computational simplicity: it only requires a single matrix-vector multiplication. In some scenarios, simulations show that the estimates obtained with the proposed algorithm are close to those obtained with standard estimation techniques operating in interference-free and noiseless systems.
