A novel adaptive interference mitigation approach based on space time processing for global navigation system receiver arrays

Songtao Lu, Jinping Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationICSP2010 - 2010 IEEE 10th International Conference on Signal Processing, Proceedings
Pages369-372
Number of pages4
DOIs
StatePublished - Dec 1 2010
Event2010 IEEE 10th International Conference on Signal Processing, ICSP2010 - Beijing, China
Duration: Oct 24 2010Oct 28 2010

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP

Other

Other2010 IEEE 10th International Conference on Signal Processing, ICSP2010
CountryChina
CityBeijing
Period10/24/1010/28/10

Keywords

  • Adaptive filter
  • Beamforming
  • GPS
  • Space time processing algorithm

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