The recursive least squares estimation and filtering of phase differences in antenna arraying

被引：0
作者：
Kong D.-Q. [1 ]
Shi H.-L. [1 ,2 ]
机构：
[1] National Astronomical Observatory, Chinese Academy of Sciences
[2] Graduate School, Chinese Academy of Sciences
来源：
Yuhang Xuebao/Journal of Astronautics | 2010年 / 31卷 / 01期
关键词：
Antenna arraying; Least squares estimation; Phase difference; Signal combining;
D O I：
10.3873/j.issn.1000-1328.2010.01.034
中图分类号：
O24 [计算数学];
学科分类号：
070102 ;
摘要：
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.
引用
收藏
页码：211 / 216
页数：5
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