Tracking a frequency hopped signal using particle filtering

N. D. Sidiropoulos, A. Swami, A. Valyrakis

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

2 Scopus citations

Abstract

The problem of tracking the frequency and complex amplitude of a frequency-hopped complex sinusoid is considered, using a novel stochastic state-space formulation and particle filtering tools. The problem is of considerable interest for interference mitigation in frequency-hopped wireless networks, and in military communications. The proposed particle filtering approach has a number of desirable features. It affords high-resolution estimates of carrier frequency and hop timing, manageable complexity (linear in the number of processed samples), and flexibility in tracking signals with irregular hopping patterns due to intentional timing jitter. The proposed state-space model is not only parsimonious, but fortuitous as well: it turns out that the associated optimal importance function can be computed in closed form, and thus samples from it can be drawn using rejection techniques. Both prior and optimal importance sampling versions are developed and illustrated in pertinent simulations.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
Volume3
StatePublished - Dec 1 2006
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
Duration: May 14 2006May 19 2006

Other

Other2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
CountryFrance
CityToulouse
Period5/14/065/19/06

Keywords

  • Estimation of time-varying line spectra
  • Frequency hopping
  • Particle filtering
  • Sequential importance sampling
  • Spectral analysis

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