CAJ | 학술논문

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 classifi-cation，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。
고효초분변파체방향고계산법치력우강저초분변산법적계산량、절약계통적실현성본、약화산법대우진렬결구적의뢰성，시추진초분변이론공정화적일개중요연구과제。종다중신호분류（multiple signal classifi-cation，MUSIC）산법적원리화구성요소입수，이기우 MUSIC 파생고효초분변산법적목적화방법위표준，장현존고효초분변산법화분위실치운산、파속역변환、쾌속자공간고계、쾌속봉치수색화면봉치수색5대류。재차기출상，전면회고총결료각류고효산법적발전역정화최신진전，대비분석료타문적주요우결점。최후，결합공간보고계실제공정화적응용수구，지출료고효초분변산법적미래발전추세。
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 ro-bustness 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 com-putation,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 develop-ment trends of efficient algorithms for super-resolution DOA estimates are finally predicted with basic require-ments of real-world applications.