User–Parameter–Free Robust Adaptive Beamforming Algorithm for Vector–Sensor Arrayswithin the Hypercomplex Framework
User–Parameter–Free Robust Adaptive Beamforming Algorithm for Vector–Sensor Arrayswithin the Hypercomplex Framework
复制标题
DOI：
10.2478/jee-2013-0014
复制
发表时间：
2013-03
期刊：
影响因子：
--
通讯作者：
Xiaoming Gou;Zhiwen Liu;Jingyan Ma;Yougen Xu
中科院分区：
文献类型：
--
作者：
Xiaoming Gou;Zhiwen Liu;Jingyan Ma;Yougen Xu
传统对角加载 (DL) 方法的主要缺陷是不清楚如何选择适当的 DL 级别或用户参数 (UP)，尽管在没有 UP 的情况下对模型误差进行正则化方面做出了一些显着的贡献。考虑了一种针对二分量矢量传感器阵列的无 UP 算法，该算法对转向矢量误差具有鲁棒性。该算法在使用四元数的超复数框架内，并且在四元数和复数输出之间的最大相关性处找到最佳解决方案。通过数值模拟说明了所提出的波束形成器的性能，并与其他几种无 UP 自适应波束形成器进行了比较
The major flaw of the conventional diagonal loading (DL) method is that it is unclear to choose appropriate DL levels or user-parameters (UPs), though several remarkable contributions have been made to regularize model errors without UPs. An UP-free algorithm for two-component vector-sensor arrays, which is robust to steering vector errors, is considered. The algorithm is within the hypercomplex framework using quaternions, and the optimal solution is found at the maximal correlation between the quaternionic and complex outputs. The performance of the proposed beamformer is illustrated via numerical simulations and is compared with several other UP-free adaptive beamformers