Conference proceeding
Frequency tracking with intermittent wrapped phase measurement using the Rao-Blackwellized particle filter
2014 48th Asilomar Conference on Signals, Systems and Computers, Vol.2015-, pp.247-251
11/2014
DOI: 10.1109/ACSSC.2014.7094438
Abstract
In this paper, we consider the problem of frequency and phase tracking with intermittent measurements. While this problem is of fundamental interest, we are primarily motivated by the coherence requirements of distributed MIMO (DMIMO) applications in which cooperating nodes emulate a virtual antenna array and frequency synchronization among transmitting nodes is achieved by each node detecting and compensating for its frequency offset from a reference pilot that is broadcast periodically by a master node. Since accurate one-shot frequency estimation requires long measurement epochs, in the interest of minimizing overhead, we consider the problem of frequency/phase tracking using phase-only measurements. While the evolution of frequency and unwrapped phase can be modeled using a standard linear state space model, the measurement model is nonlinear, since the phase measurements are wrapped to a 2π interval. We develop a systematic design framework based on the concept of a Rao-Blackwellized particle filter: a particle filter is utilized to deduce the unwrapped phase from the wrapped phase measurements, while a Kalman filter estimates the frequency offset and provides phase predictions that are used to update particle weights. We show that the proposed filter effectively tracks the frequency and phase of on oscillator as long as the resync interval is smaller than a minimum that depends on the oscillator's drift statistics.
Details
- Title: Subtitle
- Frequency tracking with intermittent wrapped phase measurement using the Rao-Blackwellized particle filter
- Creators
- Maryam Eslami Rasekh - University of California, Santa BarbaraUpamanyu Madhow - University of California, Santa BarbaraRaghuraman Mudumbai - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 2014 48th Asilomar Conference on Signals, Systems and Computers, Vol.2015-, pp.247-251
- Publisher
- IEEE
- DOI
- 10.1109/ACSSC.2014.7094438
- ISSN
- 1058-6393
- eISSN
- 2576-2303
- Language
- English
- Date published
- 11/2014
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197068302771
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