CAJ | 학술논문

球形解码（SphereDecoder，SD）算法能以较低的复杂度实现多输入多输出（MuhipleInputMultipleOutput，MIMO）系统的最优检测，是当前受到普遍关注的MIMO检测算法。对当前球形解码的主要研究成果进行综述，根据搜索策略进行分类，重点分析基于深度优先策略的VB、CL和基于宽度优先策略的K—Best、FSD算法，并且讨论了几种初始半径的选择方法，最后在准静态平坦瑞利衰落环境下对上述算法进行了性能仿真比较。
구형해마（SphereDecoder，SD）산법능이교저적복잡도실현다수입다수출（MuhipleInputMultipleOutput，MIMO）계통적최우검측，시당전수도보편관주적MIMO검측산법。대당전구형해마적주요연구성과진행종술，근거수색책략진행분류，중점분석기우심도우선책략적VB、CL화기우관도우선책략적K—Best、FSD산법，병차토론료궤충초시반경적선택방법，최후재준정태평탄서리쇠락배경하대상술산법진행료성능방진비교。
Sphere Decoding(SD) algorithm can achieve the best performance for multiple input multiple output (MIMO)systems detection with lower complexity. It is a popular MIMO detection algorithm at present. The main research results of SD algorithm are summarized. Classified by search strategy, depth-first strategy based algorithms ( VB, CL) and breadth-first strategy based algorithms (K-Best,FSD) are analyzed. Moreover, several initial radius selection methods are introduced. Finally, the performances of these algorithms are compared by simulation under the quasi-static Rayleigh fiat fading environment.