A Generally Applicable Calibration Algorithm for Digitally Reconfigurable Self-Healing RFICs
| Autor: | Eric J. Wyers, Paul D. Franzon, Matthew A. Morton, T. C. L. Gerhard Sollner, Carl Tim Kelley |
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| Rok vydání: | 2016 |
| Předmět: |
Engineering
Linear programming business.industry Calibration (statistics) 020208 electrical & electronic engineering Phase (waves) 02 engineering and technology Integrated circuit Chip 020202 computer hardware & architecture law.invention Hardware and Architecture law 0202 electrical engineering electronic engineering information engineering Electronic engineering Algorithm design Radio frequency Minification Electrical and Electronic Engineering business Software |
| Zdroj: | IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 24:1151-1164 |
| ISSN: | 1557-9999 1063-8210 |
| DOI: | 10.1109/tvlsi.2015.2424211 |
| Popis: | A generally applicable calibration technique for digitally reconfigurable self-healing radio frequency integrated circuits based on a hybrid of the Nelder-Mead and Hooke-Jeeves direct search algorithms is presented. The proposed algorithm is applied to the multiobjective problem of gain error and phase error minimization for a self-healing phase rotator test case. For the 8-D phase rotator calibration problem, we show that the proposed hybrid Nelder-Mead and Hooke-Jeeves calibration algorithm is capable of reducing the gain error and phase error of the phase rotator output to less than a maximum of 0.5 dB and 2°, respectively, relative to the chosen gain and phase targets. A 3-GHz self-healing phase rotator test chip was fabricated in a 45-nm silicon-on-insulator CMOS process, and the measured data were obtained to validate the performance of the proposed calibration algorithm. |
| Databáze: | OpenAIRE |
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