立体十字型互耦阵列二维DOA估计及互耦自校正

发布时间：2018-06-07 21:54

本文选题：阵列信号处理 + 二维波达方向估计　；参考：《系统工程与电子技术》2014年05期

【摘要】：针对常规十字阵子阵间互耦不易处理这一问题,设计一种立体十字型阵列,并在该阵列基础上,提出立体十字型互耦阵列传播算子(propagation method for tridimensional cross array in presence of mutual coupling,TCA-MC-PM)算法。该算法首先分别从子阵中选取部分合适阵元构成阵列,将理想导向向量与互耦系数剥离,利用信号子空间与理想导向向量张成同一空间这一关系估计方位角与俯仰角,接着通过子空间与秩损原理估算互耦系数,最后利用整个阵列的空间谱函数完成方位角和俯仰角的配对。在此过程中涉及的子空间都以阵列的传播算子构建,可避免特征分解,降低运算量。仿真表明,本文提出的算法不涉及空间谱搜索,运算量小,有效抑制互耦影响,测量精度高。
[Abstract]:Aiming at the difficulty of dealing with the problem of mutual coupling between conventional cross matrix arrays, a stereo cross array is designed. Based on this array, a propagation method for tridimensional cross array in presence of mutual coupling TCA-MC-PMPM algorithm is proposed. The algorithm firstly selects some suitable elements from the subarray to form an array, and separates the ideal guidance vector from the mutual coupling coefficient, and estimates the azimuth and pitch angle by using the relationship between the signal subspace and the ideal guidance vector Zhang Cheng space. Then the mutual coupling coefficient is estimated by subspace and rank loss principle. Finally, the azimuth and pitch angle pairing is completed by using the spatial spectrum function of the whole array. All the subspaces involved in this process are constructed with propagation operators of the array, which can avoid the decomposition of the characteristic and reduce the computational complexity. The simulation results show that the proposed algorithm does not involve spatial spectrum search, has less computation, effectively suppresses the mutual coupling effect, and has high measurement accuracy.
【作者单位】：南京理工大学机械工程学院;
【基金】：高维信息智能感知与系统教育部重点实验室(南京理工大学)开放基金(3092013012205) 高等学校博士学科点专项科研基金(20133219110027)资助课题
【分类号】：TN911.7

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