2016
DOI: 10.1109/tcst.2015.2435654
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A Kalman Filter for Amplitude Estimation in High-Speed Dynamic Mode Atomic Force Microscopy

Abstract: A fundamental challenge in dynamic mode atomic force microscopy (AFM) is the estimation of the cantilever oscillation amplitude from the deflection signal, which might be distorted by noise and/or high-frequency components. When the cantilever is excited at resonance, its deflection is typically obtained via narrow-band demodulation using a lock-in amplifier (LIA). However, the bandwidth of this measurement technique is ultimately bounded by the low-pass filter, which must be employed after demodulation to att… Show more

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Cited by 44 publications
(28 citation statements)
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“…Also, the Kalman filter equations have a complexity of for n modeled frequencies resulting in significant computational requirements beyond three modeled frequencies. This system representation has seen success in tracking power system voltage phasors [55] and more recently high-speed AFM [31,32].…”
Section: Kalman Filtermentioning
confidence: 99%
See 1 more Smart Citation
“…Also, the Kalman filter equations have a complexity of for n modeled frequencies resulting in significant computational requirements beyond three modeled frequencies. This system representation has seen success in tracking power system voltage phasors [55] and more recently high-speed AFM [31,32].…”
Section: Kalman Filtermentioning
confidence: 99%
“…As a result, MF-AFM experiments usually employ multiple lock-in amplifiers in parallel. However, this introduces an inherent bandwidth limitation as high-frequency mixing products must be low-pass filtered [28,31].…”
Section: Introductionmentioning
confidence: 99%
“…Under certain conditions the Kalman filter for amplitude estimation [12] is equivalent to the Lyapunov estimator, as will be demonstrated in the following. First, it is shown that the two methods are equivalent when the covariance matrix of the Kalman filter, P, is constant.…”
Section: B Relationship To the Kalman Filtermentioning
confidence: 99%
“…However, this method is prone to noise and disturbances from unwanted harmonics. Recent developments include the low-latency coherent demodulator [9], the high-bandwidth lock-in amplifier [10], and Kalman filter [11], [12]. The latter has also been extended for multiharmonic imaging [13], [14].…”
Section: Introductionmentioning
confidence: 99%
“…The demand for a high tracking bandwidth while maintaining insensitivity to additional frequencies in the signal has motivated the development of filters such as the time-varying Kalman filter [ 44 ] and Lyapunov filter [ 45 46 ]. These methods are based on a linear parametric model of the cantilever deflection signal and were shown to be extendable for the estimation of multiple frequencies for multifrequency AFM [ 47 49 ].…”
Section: Introductionmentioning
confidence: 99%