基线引导式快速相关干涉仪测向性能分析及提升方法

Performance Analysis and Improved method of the Fast Correlative Interferometer Direction Finder Using Guide Baselines

基线引导式快速相关干涉仪算法计算复杂度低,能较好解决宽带信道化二维测向处理时的计算复杂度高的问题。为了对该算法的性能进行评估,推导了该算法在两引导基线为一般组合形式下方位角与仰角估计的误差方差表达式,并与测向误差的克拉美-罗界(CRB)进行了对比。以均匀圆阵为模型,改进了取向方式,提高了测向准确度,同时给出了一种解模糊基线的选择方法。与相关干涉仪算法、伪线性最小二乘算法进行了仿真对比,仿真结果说明选择合理的引导基线与解模糊基线,快速相关干涉仪算法不仅具有计算复杂度低的优势,还能较好的兼顾测向准确度与解模糊稳健性。

Fast correlative interferometer direction finder using guide baselines has a low computational complexity. This method can better solve the problem of computational complexity in two dimensional wideband channelized direction finding. To evaluate the performance of this algorithm,the expression of estimation error variance using general geometry configuration guide baselines is produced; the relationship between the estimation error variance and Crammer-Rao bound（ CRB） is also analyzed. Furthermore,based on the uniform circular array,the method of direction finding is improved and a rule to choose de-ambiguity baselines is given. Through the simulation comparison of traditional correlative interferometer algorithm and pseudo-linear least square algorithm,the fast correlative interferometer algorithm has the advantage of low computational complexity as well as the accuracy and the robustness of de-ambiguity by choosing the right guide baselines and de-ambiguity baselines.