Analysis and simulation of reduced rank space time adaptive filters for GPS antenna arrays

Songtao Lu, Yun Zhao, Shengqun Geng

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

1 Scopus citations

Abstract

This paper proposes conjugate gradient (CG) algorithm as adaptive interference mitigation approach based on space time processing for global navigation system receiver arrays. There are a great number of existing algorithms to deal with interference, whatever time domain adaptive filters or reduced rank ones. However, which is the optimal one that has been investigated for a long time. In navigation receiver applications, the requisite requirements of space time processor are the fast convergence speed and stable steady art performances rather than complexity due to its fewer antenna arrays, shorter time delay line and reduced rank algorithms. Thus, we try to simulate different types of adaptive filters for navigation receivers under various interference environments. The results verified that reduced rank conjugate gradient algorithms have better performances than other methods.

Original languageEnglish (US)
Title of host publicationProceedings - 2010 IEEE 12th International Conference on Communication Technology, ICCT'2010
Pages1441-1444
Number of pages4
DOIs
StatePublished - Dec 1 2010
Event2010 IEEE 12th International Conference on Communication Technology, ICCT'2010 - Nanjing, China
Duration: Nov 11 2010Nov 14 2010

Publication series

NameInternational Conference on Communication Technology Proceedings, ICCT

Other

Other2010 IEEE 12th International Conference on Communication Technology, ICCT'2010
CountryChina
CityNanjing
Period11/11/1011/14/10

Keywords

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

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