2015•Unpublished venueRequires access

A Method for Damping Estimation Based On Least Square Fit

Journal Ajer, Jintao Gu

Open publisher page 2 citations

Abstract

A new approach based on least square fit method is proposed to estimate damping. Noise resistance of the proposed method and half-power bandwidth method are analyzed and compared by plenty of simulations with different signal-to-noise ratios (SNR). The proposed method is more accurate and stable than half-power bandwidth method in all SNRs, especially when the noise level is high. If 30 SN R dB  , the proposed method should be used for damping estimation instead of half-power bandwidth method. A damping estimation experiment is carried out with both methods, and the results indicate and verify that there is smaller variability for the proposed method.

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What this paper is about

A new approach based on least square fit method is proposed to estimate damping. Noise resistance of the proposed method and half-power bandwidth method are analyzed and compared by plenty of simulations with different signal-to-noise ratios (SNR). The proposed method is more accurate and stable than half-power bandwidth method in all SNRs, especially when the noise level is high. If 30 SN R dB  , the proposed method should be used for damping estimation instead of half-power bandwidth method. A damping estimation experiment is carried out with both methods, and the results indicate and verify that there is smaller variability for the proposed method.

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Available abstract

A new approach based on least square fit method is proposed to estimate damping. Noise resistance of the proposed method and half-power bandwidth method are analyzed and compared by plenty of simulations with different signal-to-noise ratios (SNR). The proposed method is more accurate and stable than half-power bandwidth method in all SNRs, especially when the noise level is high. If 30 SN R dB  , the proposed method should be used for damping estimation instead of half-power bandwidth method. A damping estimation experiment is carried out with both methods, and the results indicate and verify that there is smaller variability for the proposed method.

Key concepts: Bandwidth (computing), Estimation theory, Control theory (sociology), Noise (video), Mathematics, Acoustics, Computer science, Algorithm

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