Interference cancellation in GPS receiver using noise subspace tracking algorithm

Rong Wang, Minli Yao, Zhu Cheng, Hongxing Zou

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

In this paper, we address the problem of interference cancellation in global positioning system (GPS) receiver using a two-step approach: subspace projection technique and maximum signal-to-noise ratio (MSNR) beamforming. The interference signals can be effectively suppressed by projecting the received signal on the noise subspace. Here noise subspace tracking algorithm is employed to estimate the noise subspace directly. We then apply a beamformer to maximize the signal-to-noise ratio of the interference-free signal. Simulation results show that our approach can effectively eliminate the strong interference and enhance the performance of the GPS receiver.

Original languageEnglish
Pages (from-to)338-343
Number of pages6
JournalSignal Processing
Volume91
Issue number2
DOIs
StatePublished - Feb 2011
Externally publishedYes

Keywords

  • Global positioning system
  • Interference cancellation
  • Noise subspace tracking

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