天线组阵中相位差的递推最小二乘估计与滤波

相位差的估计精度是影响深空网天线组阵中信号合成性能的关键因素。利用天线组阵S UMPLE或SIMPLE相关算法中相位差估计值之间的几何关系，提出了相位差变化率的最小二乘 估计，并在此基础上提出了相位差的递推最小二乘滤波方法。经过理论分析和仿真实验表明 ，所提出的方法能够大大提高相位差的估计精度；对于给定的例子，估计精度提高了接近两 个数量级。相位差经滤波后，天线阵的信号合成性能显著增强，从而大大提高对深空通信中 微弱信号的数据接收能力。

The Recursive Least Squares Estimation and Filtering of Phase Differences in Antenna Arraying

The estimation accuracy of antenna phase difference is one of the most important parameters for arraying combining performance in deep space network. The least squares estimation method of phase difference change rate is presented, considering the geometric relation of phase difference in SUMPLE or SIMPLE algorithm. Based on this method, the recursive least squares estimation and filtering method of phase differences is also presented. Theoretical analysis and simulation results show that this method can greatly improve the estimation accuracy of the phase difference. For the given case, the accuracy of phase difference improves about two orders of magnitude. The better combining performance and stronger ability to adapt to weak signal can be obtained, compared with the array without recursive least squares filtering.