A new type matrix-mixed DOA matrix is formed with the information of two identical translation subarrays.
本文利用两个具有位移特性的二维传感器子阵列信息构成一种新的矩阵——混合波达方向矩阵。
A new type cumulant-based virtual DOA matrix is formed using the property of aperture extension of fourth-order cumulants.
利用空间四阶累量的孔径扩展性质，构造了一种新的累量域虚拟阵列波达方向矩阵。
Based on research of so called space time DOA matrix method, we propose several of its improved and generalized forms in this paper.
本文在对时空DOA矩阵方法进行详细分析的基础上，提出了该方法的几种改进与推广形式。
However, DOA Matrix method avoids seeking the peak of the spectrum. Consequently, even the estimating efficiency of 2-d DOA Matrix method is much better than 1-d MUSIC algorithm.
DOA矩阵法则避免了MUSIC法的谱峰角度搜索，因此即使是二维的DOA矩阵法，其估算速度也比一维MUSIC算法快。
The matrix decomposition method for DOA estimation is analyzed. It is proved that the method is a subspace method.
本文对用于DOA估计的矩阵分解法进行了分析，证明了它是一种子空间方法。
It presents a new method of DOA estimation in time-frequency domain, via establishing the STFD matrix and combining the traditional methods of array.
通过构建空间时频分布矩阵，和传统的阵列信号处理方法相结合，从而得到一种新的时频域的波达方向估计方法。
DFT is used to estimate the covariance matrix of downlink channel of the path, not calculating DOA.
在不求出DOA的情况下，采用离散傅里叶变换来估计该路径下行信道协方差矩阵。
The estimated spatial signature is adopted to construct the covariance matrix for high resolution DOA estimation.
利用了估计出的用户空间特征构造协方差矩阵进行空间平滑的高分辨DOA估计。
Based on the special structure of coupling matrix, a direction of arrival (DOA) estimation algorithm in the presence of unknown mutual coupling for the nonuniform circular array (NUCA) is presented.
基于互耦矩阵的特殊结构，给出了一种更具一般性的非均匀圆阵模型，提出了一种在未知互耦条件下的非均匀圆阵波达方向估计算法。
A matrix, called the Direction of Arrival (DOA) matrix, is formed from the covariance matrices.
根据协方差矩阵的性质，构造了波达方向矩阵。
This paper gives a general fourth order cumulant matrix which conforms with the structure of MUSIC algorithm. Therefore we can estimate the direction of arrival (DOA).
用四阶累积量构造了一个较通用的累积量矩阵，该矩阵符合MU- SIC算法的结构，从而可进行波达方向(DOA)估计。
This paper gives a general fourth order cumulant matrix which conforms with the structure of MUSIC algorithm. Therefore we can estimate the direction of arrival (DOA).
用四阶累积量构造了一个较通用的累积量矩阵，该矩阵符合MU- SIC算法的结构，从而可进行波达方向(DOA)估计。
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