摘要
针对多径传播环境中的信号波达方向估计问题,UC-MUSIC(unitary cyclic MUSIC)算法通过构造循环自相关矩阵的数据模型,使其具有厄尔米特(Hermitian)特性.通过实值分解降低了计算量,较好地解决了多径传播环境中信号高度相关问题,提高了算法性能,并且具有信号选择特性.UC-MUSIC算法均方误差公式的理论推导,证明了该算法既适合独立信号,又适合高度相关信号或者相干信号.此外,仿真实验结果也证明,与Cyclic MUSIC算法相比,该算法不仅适应多径传播环境,而且具有计算量小和性能好等特点.
A signal-selective unitary cyclic MUSIC algorithm or UC-MUSIC is proposed to estimate the direction of arrival of signals in multipath environment. Reconstructing the data model in terms of cyclic self-correlation matrix, the algorithm becomes Hermitian and thus provides a good solution to the problem of propagation of highly-correlated signals in a multipath environment via real-valued decomposition to simplify computation. The derivation of mean square error(MSE) shows that this algorithm is adaptable to not only the uncorrelated but also the highly-correlated or coherent signals. In addition, simulation results showed that this algorithm is available to multipath environment and has better performance with lower computational complexity in comparison with the cyclic MUSIC algorithm.
出处
《东北大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2006年第4期390-393,共4页
Journal of Northeastern University(Natural Science)
基金
教育部博士点基金资助项目(20050145019)
河北省科技厅科学研究指导计划项目(Z2004103)
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 ot arrival (DOA)
cyclostationarity
array signal processing
multipath propagation
mobile communications