基于平行因子四线性分解的二维角度和频率联合估计
doi: 10.3724/SP.J.1146.2010.01326
Joint 2D Angle and Frequency Estimation Method Based on Parallel Factor Quadrilinear Decomposition
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摘要: 该文提出了一种新的2维角度和频率联合估计方法。首先给出双平行线阵结构,将阵列天线输出的信号进行建模分析,表明此信号具有平行因子四线性模型特征,分析了该模型低秩分解的唯一性,从分解得到的矩阵中联合估计出信源的频率和到达角。该方法无需谱峰搜索,可实现参数的同时估计与配对,并与现有的算法进行了比较,具有更高的估计精度,而且在小样本数下也能较好的工作。仿真结果验证了该方法的有效性。Abstract: A novel blind joint 2D-angle and frequency estimation method is presented. At first the double parallel linear array is given. The output signal of the array antennas is analyzed and it has quadrilinear model characteristics. The frequency and 2D-angle can be estimated from the matrices via low-rank decomposition which utilizing the uniqueness of parallel factor decomposition. The method does not require searching spectral peak or pairing parameters. In comparison with the conventional methods, the algorithm has high precision estimation of parameters and works well under small sizes. The simulation results verify its effectiveness.
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