摘要
针对多径传播环境中的信号波达方向估计问题,提出了一种基于实值分解技术的UC MUSIC(unitarycyclicMUSIC)算法·通过重新构造循环自相关矩阵的数据模型,使其具有厄尔米特特性,再结合空间平滑技术,设计了一种新颖的具有中心厄尔米特(centro Hermitian)特性的循环相关矩阵,较好地解决了多径传播环境中信号高度相关问题;通过实值分解降低了计算量,而且具有信号选择特性·仿真实验结果证明,与CyclicMUSIC算法相比,这种算法不仅适用于独立信号源,而且适用于含有相干信号的多径传播环境,具有计算量小和性能好等特点·
Based on real-valued decomposition technique, the unitary cyclic MUSIC algorithm is proposed for multipath environment of mobile communication by reconstructing a data model of the cyclic convariance matrix with Hermitian property. Then, a novel cyclic convariance matrix with centro-Hermitian property is designed via spatial smoothing. Thus, a favorable performance is obtained in the presence of multipath propagation. In addition, this approach is available to reduce the computational complexity by real-valued eigendecomposition and be allowed to select desired signals. The simulation results showed that this algorithm performs better not only for independent signals but also for the multipath environment covering coherent signals with lower computational complexity in comparison with cyclic MUSIC algorithm.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2005年第7期629-632,共4页
Journal of Northeastern University(Natural Science)
基金
教育部科学技术研究重点项目(02085)
关键词
波达方向
循环平稳
阵列信号处理
多径传播
移动通信
direction of arrival
cyclostationarity
array signal processing
multipath propagation
mobile communication
