Multichannel particle filters for tracking a frequency hopped signal

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

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

1 Scopus citations

Abstract

We consider the problem of tracking a frequency-hopped signal without knowledge of its hopping pattern. The problem is of interest in military communications, where, in addition to frequency, hop timing may also be randomly shifted to guard against unauthorized reception and jamming. We have recently proposed [10] a conceptually simple stochastic state-space model that captures the randomness in carrier frequency and hop timing, and is well-suited for application of particle filtering tools. In this contribution, we generalize the approach in [10] to the multichannel case. In particular, we show that the importance function that minimizes the variance of particle weights can again be computed in closed form. The resulting multichannel particle filters are assessed and compared to their single-channel counterparts in pertinent simulation experiments.

Original languageEnglish (US)
Title of host publication2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP
Pages253-256
Number of pages4
DOIs
StatePublished - Dec 1 2007
Event2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP - St. Thomas, Virgin Islands, U.S.
Duration: Dec 12 2007Dec 14 2007

Other

Other2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP
CountryVirgin Islands, U.S.
CitySt. Thomas
Period12/12/0712/14/07

Keywords

  • Frequency hopping
  • Particle filtering

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