Hybrid stochastic gradient based digitally controlled oscillator gain KDCO estimation
US7365609B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 26, 2006 |
| Grant date | Apr 29, 2008 |
| Priority date | — |
| Expiry date | Sep 4, 2026 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH03L2207/50
- WIPO fieldBasic communication processes
- WIPO sectorElectrical engineering
Abstract
A novel hybrid stochastic gradient adaptation apparatus and method for calibrating the gain of an RF or non-RF digitally controlled oscillator (DCO). The adaptation algorithm determines a true stochastic gradient between a forcing function and its corresponding system measure to estimate the system parameters being adapted. A momentum term is generated and injected into the adaptation algorithm in order to stabilize the algorithm by adding inertia against any large transient variations in the input data. In the case of adaptation of DCO gain KDCO, the algorithm determines the stochastic gradient between time varying calibration or actual modulation data and the raw phase error accumulated in an all digital phase locked loop (ADPLL). Two filters preprocess the observable data to limit the bandwidth of the computed stochastic gradient providing a trade-off between sensitivity and settling time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.