托普利兹矩阵
计算复杂性理论
不相关
算法
协方差矩阵
信号(编程语言)
光圈(计算机存储器)
财产(哲学)
基质(化学分析)
计算机科学
数学
声学
物理
统计
认识论
哲学
复合材料
材料科学
程序设计语言
纯数学
作者
Chunlian AN,Dengmei Zhou,Ke Tang,Yong Wang,Liangliang Tian
摘要
The present 2-D direction finding methods for coexisted independent and coherent signals are mainly adopting array containing large number of array sensors, which have great computational complexity and bad utilization rate of array aperture. In this article, a 2-D DOA estimation method is presented based on the L-shape array. The estimation of the independent and coherent signals is conducted separately. the DOAs of the uncorrelated signal are estimated firstly, and the information of the coherent signal can be eliminated by exploiting the property of the coherent signals. Besides, utilizing the Toeplitz property of the uncorrelated data covariance matrix, we can obtain the data matrix containing the information of the coherent signals only. Sufficient theoretical analysis and simulation results are conducted, which show that the presented method has smaller computational complexity, higher array aperture and better performance comparing with the present methods.
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