针对强相干干扰环境影响微弱信号的波达方向(Direction Of Arrival,DOA)问题,提出了一种均匀线阵下的微弱信号DOA估计算法.精确估计强干扰源的个数和入射方向,将阵列划分成两个虚拟子阵,利用微弱信号的参考入射方向,在子阵上进行波束形成来抑制干扰并提高待估计信号的信干噪比,使用比相单脉冲进行DOA估计,同时对子阵波束形成和DOA估计进行迭代运算以提高微弱信号的DOA估计精度.该方法提高了阵列对抗相干干扰的能力,同时对微弱信号的DOA进行有效的估计.理论分析和计算机仿真结果验证了算法的正确性和有效性.
In this paper, new Cramér-Rao lower bounds （CRB） of the estimates of frequencies, two-dimensional arrival angles and polarization parameters of multiple incident signals are derived for a polarization sensitive array. The incident sources have distinct carrier-frequencies, in contrast to the modeling of all sources to be at the same known carrier-frequency, which has been investigated in the existing research literature on the Cramér-Rao bounds （CRB） for polarization sensitive direction finding. The derived CRBs are compact closed-form expressions and applicable to an arbitrary array geometry. Numerical examples and analysis of some special cases provide insights into the fact that the estimation accuracy of all parameters is enhanced with the increasing signal-to-noise ratio （SNR） and number of snapshots. In addition, they are hardly influenced by the sampling frequency and independent of the initial phase of incident sources. These insights offer guidelines to the system engineer on how to improve parameters＇ estimation accuracy.
