In this paper, we analysis signal model of multi-path environment, and use high order cumulant method, together with some general DOA estimating method, to estimate DOA of multi-path accurately.
本文针对多径的影响，分析了多径情况下的信号模型，并采用基于高阶累积量的方法来解决多径情况下的DOA估计。
A method of estimating Direction Arrival (DOA) based on Multistage Weiner Filtering (MSWF) is proposed.
提出一种基于多级维纳滤波器(MSWF)的信号波达方向(DOA)估计算法。
The use of this math mode improves the veracity of the MUSIC arithmetic in estimating the count of the user and the precision of the DOA estimate largely.
这种数学模型的使用，大大提高了MUSIC算法对用户数估计的准确度和波达方向DOA估计的精度。
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。
A novel approach, which is totally different from the traditional methods, for estimating directions-of-arrival (DOA) of multiple spatial narrow-band signals is presented in this paper.
提出一种在阵元通道增益不一致情况下多个空间窄带信号波达方向(doa)的快速估计算法。
Therefore, the topic we study is the method and its hardware realization for Estimating two-dimensional DOA of coherent signals use non-cooperation sources.
本课题所要研究的就是利用非合作源，在相干信号情况下对多目标进行二维超分辨测向的实用方法及其硬件实现。
Therefore, the topic we study is the method and its hardware realization for Estimating two-dimensional DOA of coherent signals use non-cooperation sources.
本课题所要研究的就是利用非合作源，在相干信号情况下对多目标进行二维超分辨测向的实用方法及其硬件实现。
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