A Genetic Algorithm for the Estimation of Nonidealities in Continuous-Time Sigma–Delta Modulators
| Autor: | Rudolf Ritter, Joachim Becker, Matthias Lorenz, Maurits Ortmanns |
|---|---|
| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | IEEE Transactions on Circuits and Systems II: Express Briefs. 61:388-392 |
| ISSN: | 1558-3791 1549-7747 |
| DOI: | 10.1109/tcsii.2014.2319933 |
| Popis: | In this brief, a novel approach to using genetic algorithms (GAs) for estimating nonidealities in continuous-time sigma–delta ( $\Sigma\Delta$ ) modulators during runtime is presented. Since various nonidealities decrease the performance of $\Sigma\Delta$ modulators even up to instability of the circuit, there have been several publications for estimating these parameters in order to calibrate the analog-to-digital converter. Most of these techniques focused on individual nonidealities only. An unscented Kalman filter was previously presented as being able to estimate some of the most aggressive nonidealities in a joint fashion. However, the computations required in the Kalman filter are highly challenging. Hence, a heuristic algorithm, which is generally very simple from the mathematical point of view, is proposed as a better choice for the previously mentioned application. It will be shown that a specific form of the GA is able to estimate several nonidealities concurrently, thus allowing for system identification for later calibration of the modulator. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|