Fully analogue LMS adaptive notch filter in BICMOS technology

Linder, T.; Zojer, H.; Seger, B.

doi:10.1109/4.485866

Cited by 13 publications

(3 citation statements)

References 2 publications

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“…When the sine wave is used as the reference input, it can eliminate the main spectrum component at the center of the narrow band near the reference frequency. Because the adaptive notch filter has only one parameter to estimate, the algorithm is simple and easy to control the bandwidth and the depth of zero point, which can accurately track the frequency of interference, and its the stability is guaranteed by limiting the pole to the unit circle [21]. e block diagram of the single frequency adaptive notch filter has 2 adaptive weights as shown in Figure 3.…”

Section: Multifrequency Adaptive Notch Filtermentioning

confidence: 99%

Study on the Resonant Suppression of Electrohydraulic Servo Shaking Table of a 2‐Mass Dynamic System

Wang

Jun

2019

Shock and Vibration

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Since the load of electrohydraulic servo shaking table is an elastic load, there is a mutual coupling effect that exists between the experimental object and the shaking table, forming the resonance to weaken the dynamic characteristics, and producing resonant peak and resonant valley in the bandwidth required by the system, in which the amplitude is often larger than the stability range of acceleration’s amplitude. In this paper, the mathematical modeling of hydraulic power mechanism in a two-mass dynamic system is established based on electrohydraulic servo shaking table, yielding the frequency characteristic curve in accordance with the transfer function of the model. A multifrequency adaptive notch filter based on the least mean square algorithm is proposed to suppress the resonance, and the suppression effect of the resonance is simulated and verified in line with various values of load stiffness. Finally, the power spectrum is used to demonstrate the effectiveness of the multifrequency adaptive notch filter in the resonant suppression.

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Section: Multifrequency Adaptive Notch Filtermentioning

confidence: 99%

Study on the Resonant Suppression of Electrohydraulic Servo Shaking Table of a 2‐Mass Dynamic System

Wang

Jun

2019

Shock and Vibration

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“…4 should be designed carefully since their output directly affects the output signal of the canceller. However, several examples show that high quality integration of similar circuits is possible [16], [17].…”

Section: Implementation Aspectsmentioning

confidence: 99%

“…We base our analysis on the following model of the DM signal: (16) Since the expectation of the unobservable desired signal and the uncorrelated noise component is zero, i.e., , we postulate (17) as the model of interest. The estimation error or residual error is given by (18) We define the cost function (19) where is a forgetting factor weighting recent data higher than older data.…”

Section: Appendix Two-coefficient Mixed-signal Rls Algorithmmentioning

confidence: 99%

An approach to analog mitigation of RFI

Ödling

Borjesson²,

Magesacher

et al. 2002

IEEE J. Select. Areas Commun.

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Among all noise sources present in wireline transmission systems we focus on one special type: narrowband radio frequency interference generated by radio amateurs (HAM) and broadcast radio stations. This disturbance, characterized by high power and narrow bandwidth, has the potential of overloading the receiver's analog-to-digital converter (ADC). Once the ADC is in saturation, any countermeasure taken in digital domain will fail. A viable way to face this problem is cancellation using the common-mode signal as a reference. This paper describes in detail an adaptive, mixed-signal, narrowband interference canceller employing a modified recursive least-squares algorithm, which is split into an analog and a digital part. The mixed-signal approach enables the circuit to generate an interference-cancelling signal of several MHz while operating the adaptive algorithm at some kilohertz. Simulation as well as measurement results show a steadystate disturbance suppression of about 35 dB. The convergence speed is high enough to protect the ADC from overloading due to time-variant HAM interference.

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Analog CMOS implementation of high frequency least-mean square error learning circuit

Kub

Justh

1995

IEEE J. Solid-State Circuits

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Fully analogue LMS adaptive notch filter in BICMOS technology

Cited by 13 publications

References 2 publications

Study on the Resonant Suppression of Electrohydraulic Servo Shaking Table of a 2‐Mass Dynamic System

Study on the Resonant Suppression of Electrohydraulic Servo Shaking Table of a 2‐Mass Dynamic System

An approach to analog mitigation of RFI

Analog CMOS implementation of high frequency least-mean square error learning circuit

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