A Novel Adaptive Interference Mitigation Approach Based on Space Time Processing for Global Navigation System Receiver Arrays

摘要：

This paper proposes a novel adaptive interference mitigation approach based on space time processing for global navigation system receiver arrays. The novel approach combines two adaptive filters, Normalized Least Mean Square (NLMS) algorithm and reduced-rank Multistage Nested Wiener Filter (MNWF), for interference mitigation, and shares the information of different channels characters under various interference environments. Furthermore, the proposed filter adaptive exchanges their weights according to acquisition results and MSE (Mean Square Error). It is demonstrated that the proposed mixed double adaptive filter provides both advantages at the aspects of higher convergence speed and lower complexity for navigation receiver arrays than the other traditional adaptive array algorithms via simulations.

关键词： Adaptive Filter Beamforming GPS Space Time Processing Algorithm

作者: Songtao Lu Jinping Sun

作者单位: School of Electronic and Information Engineering, Beihang University, Beijing, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 369-372

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）