共形阵列天线信源方位与极化状态的联合估计算法

 针对共形天线阵列流形的特点,提出了共形阵列天线信源方位与极化状态的联合估计算法.算法的方位估计不需要信源极化状态的任何信息,估计精度高、分辨力强,在完成信源方位估计的同时,还可以精确的估计出信源的极化状态,不需要参数配对,实现了共形阵列天线信源方位与极化状态的联合估计.算法仅需要二维参数搜索,计算量比已有的联合估计算法小,且适用于任意共形载体,具有广泛的应用范围.对算法参数估计的理论性能进行了分析推导,给出了参数估计的CRB(Cramer-Rao Bound),并通过Monte-Carlo仿真实验验证了理论分析的正确性与算法的有效性.

Joint DOA and Polarization Estimation Algorithm for Conformal Array Antenna

Considering the special manifold characteristic of conformal array,a joint DOA and polarization estimation algorithm is proposed based on rank-deficiency theory.The new algorithm can achieve accurate and high-resolution DOA estimation without the exact knowledge of the source polarization.Simultaneously,favorable polarization estimation can also be acquired jointly with DOA estimation.The proposed method can be applied to arbitrary conformal array structure and only high-dimensional nonlinear search associated with the 2D DOA estimation is involved in its implementation.Compared with the classical joint DOA and polarization estimation algorithm based on high-dimensional nonlinear search,this reduces the computational complexity considerably.The theory performance is analyzed and the CRB (Cramer-Rao Bound) is derived for this algorithm.Monte-Carlo simulation results are provided to demonstrate the performance analysis and the effectiveness of the proposed method.