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基于迭代估计的稳健波束形成算法
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摘要
在Capon自适应波束形成算法中,期望信号误差和约束参数的选择会对波束形成器的性能产生影响,增加计算的复杂度。本文提出一种基于迭代估计的导向矢量稳健波束形成算法。首先,在期望信号的大致方位区间上构建其导向矢量的相关矩阵,提取出大特征值对应的特征向量,将导向矢量表征为特征向量的线性组合;其次,对导向矢量利用牛顿法迭代以消除参考信号中的干扰,使得估计值更接近期望信号。仿真结果表明,该方法降低了计算复杂度,期望信号的估计精度更高,波束形成器的系统性能也得到一定提升。
In Capon adaptive beamformer algorithm, the desired signal error and the constraint parameters badly affect the performance of the beamformer, increase computational complexity and the difficulty of achieving on the project. This paper proposes a new method based on iterative estimation. A correlated matrix of steering vector is firstly constructed in a spatial sector where the desired signal component probably locates in and then eigenvectors of this matrix corresponding to large eigenvalues can be extracted. The steering vector is characterized as the set of linear combinations of eigenvectors.On the steering vectors using Newton iteration method to eliminate the reference signal interference, making estimates closer to the desired signal. Simulation results show that this method reduces the computational complexity,the accuracy of desired signal rises and the system performance is improved.
引文
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