Abstract
Compact model extraction of phase-locked loop (PLL) frequency synthesizer using system identification techniques is proposed to reduce post-layout simulation time. This is the first published compact model for PLL using system identification techniques. It features an autoregressive exogenous model for the charge pump and the loop filter with a lookup table for nonlinearity compensation and a radial basis function neural network for the voltage-controlled oscillator with nonlinear frequency-voltage relationship, thereby reducing the post-layout simulation time to 26% of the original circuits with the accuracy of 93%.
| Original language | English |
|---|---|
| Article number | 6926919 |
| Pages (from-to) | 1751-1755 |
| Number of pages | 5 |
| Journal | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems |
| Volume | 33 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 1 2014 |
Keywords
- Autoregressive exogenous model (ARX)
- compact model
- neural network
- phase-locked loop
- system identification
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