旋转不变性
平滑的
到达方向
协方差矩阵
欠定系统
基质(化学分析)
数学
椭圆
互质整数
方位角
计算机科学
算法
测向
多信号分类
平面阵列
循环缓冲器
矩阵铅笔
平面的
到达角
信号(编程语言)
传感器阵列
计算机视觉
天线(收音机)
几何学
电信
计算机图形学(图像)
复合材料
材料科学
程序设计语言
作者
Haiyun Xu,Da-Ming Wang,Size Lin,Bin Ba,Yankui Zhang
摘要
In estimating the two-dimensional (2D) direction-of-arrival (DOA) using a coprime planar array, there are problems of the limited degree of freedom (DOF) and high complexity caused by the spectral peak search. We utilize the time-domain characteristics of signals and present a high DOF algorithm with low complexity based on the noncircular signals. The paper first analyzes the covariance matrix and ellipse covariance matrix of the received signals, vectorizes these matrices, and then constructs the received data of a virtual uniform rectangular array (URA). 2D spatial smoothing processing is applied to calculate the covariance of the virtual URA. Finally, the paper presents an algorithm using 2D multiple signal classification and an improved algorithm using unitary estimating signal parameters via rotational invariance techniques, where the latter solves the closed-form solutions of DOAs replacing the spectral peak search to reduce the complexity. The simulation experiments demonstrate that the proposed algorithms obtain the high DOF and enable to estimate the underdetermined signals. Furthermore, both two proposed algorithms can acquire the high accuracy.
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