基于子空间原理的共形阵列多参数联合估计算法

由于共形载体表面曲率变化的影响，共形阵列流形中的信源方位与极化状态产生“耦合”，为多维参数联合估计带来较大难度。针对该问题，利用交叉电偶极子对天线单元在锥面和柱面载体上合理布阵，建立了其快拍数据模型，并提出一种信源方位和极化状态的联合估计算法。算法利用锥面和柱面等单曲率结构的特殊性合理设置坐标系，从而避免了多维角度搜索，有效降低了运算量，并且很容易推广到其他多种单曲率几何结构的共形载体中。Monte Carlo仿真验证了算法的有效性。

Subspace-based multiple parameter estimation algorithm for incident signals with conformal array

Owing to the effects of a change in the surface curvature of conformal carriers,the direction of arrival(DOA) and polarization are coupled with each other in the conformal array manifold,which increases the difficulties to parameter estimation.A polarization sensitive conformal array is structured with crossed dipole elements and its data model is built.On the basis of that,a multiple parameter estimation algorithm is proposed.In the algorithm,multi-dimensional searching is avoided by employing the special coordinate configuration,hence the computational burden is well controlled and the algorithm can be easily extended to other single curvature structures.Monte Carlo simulation results verify the effectiveness of the proposed algorithm.