LMS Coefficient Filtering for Time-Varying Chirped Signals

Ting, Lok-Kee; Cowan, C.F.N.; Woods, Roger

doi:10.1109/tsp.2004.836529

Cited by 12 publications

(5 citation statements)

References 11 publications

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“…For non-stationary signals, the filter coefficients are timevarying in order to track the signal [27]. A method used to help time-varying coefficients follow the changes more closely is the LLMS algorithm, which can reduce the memory effect when tracking a non-stationary signal (like LEF signals), and offers better performance in low SNR environments.…”

Section: Lms Adaptive Algorithmmentioning

confidence: 99%

Denoising of measured lightning electric field signals using adaptive filters in the fractional Fourier domain

Rojas

Cortés

2014

Measurement

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Section: Lms Adaptive Algorithmmentioning

confidence: 99%

Denoising of measured lightning electric field signals using adaptive filters in the fractional Fourier domain

Rojas

Cortés

2014

Measurement

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“…The standard LMS algorithm was first proposed by Widrow in 1975 as a simple and small‐calculation adaptive filter algorithm. The algorithm has been widely used in many fields, such as adaptive network control , radar , system identification , and signal processing .…”

Section: Application Analysis For Standard Lms To Maglev Flywheel Commentioning

confidence: 99%

Research on switch compensation control for maglev flywheel battery

Gao

Cao

2018

IEEJ Transactions Elec Engng

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In a maglev flywheel system, an unbalanced interference signal synchronous with the flywheel frequency will be produced because the flywheel rotor is uneven. This signal can reduce system control precision and stability, and make the system produce unbalance force vibration. Therefore, the signal should be filtered to reduce the effects on the control system. A vibration switching compensation control strategy is proposed based on the standard least mean squares (LMS) algorithm and one proportional–integral–derivative (PID) controller. The flywheel's rotational frequency is measured in real time as the switching reference, and different LMS algorithm step sizes and different PID controller parameters are adopted in different rotational frequencies. Simulation and experimental results verify the feasibility and effectiveness of the switch compensation strategy, which can reduce the control current amplitude and make the flywheel rotate around the inertial principal axis as much as possible. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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“…These methods jointly use the time domain and frequency domain to process the time‐varying Doppler frequency. Ting et al [13] used coefficient filtering techniques to remove the unwanted residual components in the frequency spectrum to improve the detection performance for a chirped pulse‐train signal. Compared to the FT, the fractional FT (FRFT) is more flexible and suitable for non‐stationary signal processing because it can effectively remove the quadratic phase of the signal [14, 15].…”

Section: Introductionmentioning

confidence: 99%