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在智能天线系统中,波达方向(DOA)估计是实现空分多址的关键问题之一。本文提出了一种基于累积量的多用户空间特征估计算法,并将该算法用于智能天线中的多用户相干源DOA估计.该算法利用累积量构造了空间特征矩阵,通过对空间特征矩阵的特征分解得到各用户信号的空间特征估计,并基于空间特征估计,利用前后平滑空间特征协方差矩阵估计共信道多用户信号的DOA.仿真实验验证了算法的有效性。
In the smart antenna system, DOA estimation is one of the key issues for implementing SDMA. This paper presents a cumulant-based multi-user spatial feature estimation algorithm, which is applied to DOA estimation of multi-user coherent sources in smart antennas. The algorithm uses the cumulant to construct the spatial eigenmatrix, and obtains the spatial characteristic estimation of each user signal through the characteristic decomposition of the spatial eigenmatrix. Based on the spatial characteristic estimation, the covariance matrix of the co-channel smoothed spatial features is used to estimate the DOA . Simulation results show the effectiveness of the algorithm.