锥面共形阵列天线实值盲极化DOA估计方法

A DOA Estimation Method for Conical Conformal Array Antenna with Real-Value Blind Polarization

将快拍数据协方差矩阵分裂思想引入到锥面共形阵列天线的测向中,提出了一种高效的锥面共形阵列盲极化波达方向(DOA)估计方法。该方法将子空间估计过程进行了实值化处理,通过子阵分割解决了协方差矩阵分裂引起的“镜像模糊”问题,同时,对参数估计的理论性能界进行了分析,推导了实值盲极化DOA估计的克拉美-罗界,并讨论了算法复杂度改善情况,在保证DOA估计精度的前提下有效降低了算法复杂度。仿真实验表明,所提算法在信噪比为10 dB时,估计精度与已有盲极化复值算法基本一致,而运算量仅为原算法的60%~70%,证明了算法的有效性。

An efficient blind-polarized direction-of-arrival(DOA)estimation method of conical conformal arrays is proposed with an idea of covariance matrix splitting of snapshot data being introduced into the direction finding of conical conformal array antennas.In this method,the subspace estimation is in the process of real-valued,and the‘mirror blur’problem caused by the splitting of the covariance matrix is solved by sub-array division.Simultaneously,the theoretical performance circle is analyzed,the improvement of algorithm complexity is discussed,and the algorithm complexity is effectively reduced on the premise of ensuring the accuracy of DOA estimation.The simulation experiments show that when the signal-to-noise ratio is 10 dB,the estimation accuracy of the proposed algorithm is basically the same as that of the existing blind polarization complex-valued algorithm,the computation amount makes up 60%~70%of the existing complex-valued algorithm,and the algorithm is valid.