Digital Self-Calibration Method for MEMS Sensors

Colinet, Éric; Jerome, J. Terrence Jose; Nicu, Liviu; Bergaud, Christian

doi:10.1109/tim.2005.851054

Cited by 8 publications

(8 citation statements)

References 10 publications

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“…A microresonator embedded into this type of structure displays periodic behaviour as well [8]. In this section we study periodic sequences {(x n , y n )} that are produced by the map (7).…”

Section: Periodic Solutionsmentioning

confidence: 99%

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MEMS with Σ - Δ type of feedback loop control as an iterative map

Pladys

Blokhina

2011

2011 IEEE International Symposium of Circuits and Systems (ISCAS)

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“…A microresonator embedded into this type of structure displays periodic behaviour as well [8]. In this section we study periodic sequences {(x n , y n )} that are produced by the map (7).…”

Section: Periodic Solutionsmentioning

confidence: 99%

“…These cycles may be utilised for self-calibration purposes in the system without input since the MEMS parameters may be extracted from their characteristics [8].…”

Section: Introductionmentioning

confidence: 99%

MEMS with Σ - Δ type of feedback loop control as an iterative map

Pladys

Blokhina

2011

2011 IEEE International Symposium of Circuits and Systems (ISCAS)

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“…The BIMBO method is a more powerful, less limiting version of the MLCF and MCLC identification methods [6][7][8][9] for relay feedback systems. The common point between the three methods is that they do not rely on an approximation (such as additive white noise or describing function approximation) of the comparator, as opposed to other methods [5,10,11].…”

Section: Bimbomentioning

confidence: 99%

“…Testing of the circuit revealed that the performances were not as expected. Using the online method described above, an identification of H is done, based on the ARX structure of (8). 10000 sample points are used.…”

mentioning

confidence: 99%

Identification of a one-bit lowpass sigma-delta modulator using BIMBO

Colinet

Jerome

2007

2007 IEEE Instrumentation &Amp; Measurement Technology Conference IMTC 2007

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-We show how the BIMBO identification method can be used for the online identification of the digital filter in a sigma-delta modulator's loop. This parameter estimation method only requires the knowledge of the bit stream at the modulator output. This approach does not rely on an approximation of the comparator (such as additive white noise or describing function approximation). Moreover, it requires no amplitude measurement, as opposed to most other methods, and, thus, it involves no additional electronics and it is therefore very economical to implement it practically. The method is described from a theoretical point of view and an experimental validation is given.

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“…This is not so in the context of resonant sensors: a sustained oscillation must be obtained for the sensor to work properly. For some applications [15], the shape of the limit cycle may also be of great importance. The determination of this shape has been studied extensively in the context of first and second-order sigma-delta converters, as in [16] or [17], but not from a more general point of view.…”

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confidence: 99%