Autocalibration algorithm for robust capon beamforming
Autocalibration algorithm for robust capon beamforming
复制标题
DOI：
10.1109/lawp.2006.874070
复制
发表时间：
2006-01-01
影响因子：
4.2
通讯作者：
Sano, Akira
中科院分区：
文献类型：
--
作者：
Kikuchi, Shohei;Tsuji, Hiroyuki;Sano, Akira
当存在不确定性时，如传感器位置错误或阵列模型不匹配的情况下，鲁棒Capon波束形成器（RCB）比标准Capon波束形成器更鲁棒。然而，RCB存在阵列传感器之间的相互耦合问题，在实际应用中难以忽视。在这项工作中，描述了一种自动校准算法，该算法通过递归校准相互耦合引起的不确定性来改善RCB。数值模拟和暗室实验数据的实际分析表明，与RCB相比，该方法能更好地估计目标信号的到达角和功率。
The robust Capon beamformer (RCB) is more robust than the standard Capon beamformer when there is uncertainty, as in the case of a sensor location error or an array model mismatch. However, the RCB suffers from mutual coupling between the array sensors, which is difficult to neglect in practice. In this work, an autocalibration algorithm is described that improves the RCB by recursively calibrating the uncertainty due to mutual coupling. The proposed method is better able to estimate the angle-of-arrival and power of the signal of interest than the RCB, as shown by numerical simulation and practical analysis of experimental data obtained in an anechoic chamber.