高效超分辨波达方向估计算法综述

高效超分辨波达方向估计算法致力于降低超分辨算法的计算量、节约系统的实现成本、弱化算法对于阵列结构的依赖性,是推进超分辨理论工程化的一个重要研究课题。从多重信号分类(multiple signal classification, MUSIC)算法的原理和构成要素入手,以基于MUSIC派生高效超分辨算法的目的和方法为标准,将现存高效超分辨算法划分为实值运算、波束域变换、快速子空间估计、快速峰值搜索和免峰值搜索5大类。在此基础上,全面回顾总结了各类高效算法的发展历程和最新进展,对比分析了它们的主要优缺点。最后,结合空间谱估计实际工程化的应用需求,指出了高效超分辨算法的未来发展趋势。

Overview of efficient algorithms for super-resolution DOA estimates

Computationally efficient methods for super-resolution direction of arrival (DOA) estimation aim to reduce the complexity of conventional techniques, to economize on the costs of systems and to enhance the robustness of DOA estimators against array geometries and other environmental restrictions, which has been an important topic in the field. According to the theory and elements of the multiple signal classification (MUSIC) algorithm and the primary derivations from MUSIC, state-of-the art efficient super-resolution DOA estimators are classified into five different types. These five types of approaches reduce the complexity by real valued computation, beam space transformation, fast subspace estimation, rapid spectral search, and no spectral search, respectively. With such a classification, comprehensive overviews of each kind of efficient methods are given and numerical comparisons among these estimators are also conducted to illustrate their advantages. Future development trends of efficient algorithms for super-resolution DOA estimates are finally predicted with basic requirements of real world applications.