
Acoustic frequency tracking of a harmonic signal with continuously varying frequency is considered. The Rao-Blackwellized point mass filter (RBPMF), previously proposed by the authors for mechanical vibration tracking, is applied to the problem. The RBPMF is compared with two periodogram-based methods, and the similarities and differences between them are explained. Both experimental and simulation results in a Doppler frequency tracking scenario are presented, and the results show that the RBPMF can have significantly less estimation error than the competing methods.
Reglerteknik, Signal Processing, Frequency tracking; Harmonics tracking; Bayesian filtering; acoustic frequency tracking; Rao-Blackwellized point mass filter; WASP_publications, Signalbehandling, Control Engineering
Reglerteknik, Signal Processing, Frequency tracking; Harmonics tracking; Bayesian filtering; acoustic frequency tracking; Rao-Blackwellized point mass filter; WASP_publications, Signalbehandling, Control Engineering
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
