CAJ | 학술논문

信号盲识别在无线通信领域中取得了大量应用成果，其中空时分组码的盲识别问题是信号盲识别中一个新的重要问题。针对空时分组码类型识别中的最大似然算法和基于特征参数的算法进行了归纳。首先介绍空时分组码识别在无线通信技术中的地位和作用，然后对现有空时分组码类型识别算法进行分类，分析每种算法的关键技术和基本识别思想，最后对现有的算法进行总结，对空时分组码类型识别算法未来的发展难点和热点进行了展望。
신호맹식별재무선통신영역중취득료대량응용성과，기중공시분조마적맹식별문제시신호맹식별중일개신적중요문제。침대공시분조마류형식별중적최대사연산법화기우특정삼수적산법진행료귀납。수선개소공시분조마식별재무선통신기술중적지위화작용，연후대현유공시분조마류형식별산법진행분류，분석매충산법적관건기술화기본식별사상，최후대현유적산법진행총결，대공시분조마류형식별산법미래적발전난점화열점진행료전망。
Blind signal classification, a major task of wireless communication area, has important applications. Classification of space-time block code ( STBC) is a new important area in blind signal classification. The maximum likelihood based and feature based algorithms for classification of STBC was concluded. Firstly the position of classification of STBC in wireless communication systems was introduced. Secondly the category of classification algorithms was illustrated. Thirdly, the key steps and basic ideas of the algorithms were analyzed. And finally, the proposed algorithms were summarized and the future development of classifica-tion of STBC was pointed out.