论文标题
到达方向估计方法：绩效复杂性权衡观点
Direction-of-Arrival Estimation Methods: A Performance-Complexity Tradeoff Perspective
论文作者
论文摘要
这项工作分析了不同到达方向（DOA）估计技术的绩效复杂性权衡。考虑到统一的线性阵列结构，研究了这种权衡。已经比较了几种DOA估计技术，即传统的延迟和系统（DS），最小差异无失真响应（MVDR），多个信号分类器（音乐）子空间，通过旋转不变性技术（ESPRIT），单位 - ESPRIT和傅立叶变换方法（FT-DOA）对信号参数的估计。每种估计技术的分析公式以及比较数值结果的讨论集中在估计准确性与复杂性权衡上。本研究揭示了七种技术的行为，证明了涉及DOA估计的当前和将来的位置应用，特别是对于5G大型MIMO系统的行为。
This work analyses the performance-complexity tradeoff for different direction of arrival (DoA) estimation techniques. Such tradeoff is investigated taking into account uniform linear array structures. Several DoA estimation techniques have been compared, namely the conventional Delay-and-Sum (DS), Minimum Variance Distortionless Response (MVDR), Multiple Signal Classifier (MUSIC) subspace, Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), Unitary-ESPRIT and Fourier Transform method (FT-DoA). The analytical formulation of each estimation technique as well the comparative numerical results are discussed focused on the estimation accuracy versus complexity tradeoff. The present study reveals the behavior of seven techniques, demonstrating promising ones for current and future location applications involving DoA estimation, especially for 5G massive MIMO systems.
