基于实值分解技术的Unitary Cyclic ESPRIT算法

针对多径传播环境中的信号到来方向估计问题,提出了一种基于实值分解技术的Unitary Cyclic ESPRIT算法,通过重新构造了循环自相关矩阵的数据模型,使其具有厄尔米特特性,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Cyclic ESPRIT算法相比,该算法适应多径传播环境,具有计算量小和性能好等特点.

Unitary Cyclic ESPRIT based on real-valued decomposition technique

Using real-valued decomposition technique, Unitary Cyclic ESPRIT algorithm is proposed for multipath environment of mobile communication, by reconstructing the data model of the cyclic covariance matrix with Hermitian property, which has a better performance in the presence of multipath propagation. In addition, this approach not only reduces the computational complexity by real-valued eigendecomposition, but also allows to selecting desired signals. Finally simulation results show that this algorithm, comparing with Cyclic ESPRIT algorithm, adapts to multipath environment and has features of better performance and low computational complexity are obtained.