Fast and accurate frequency estimation algorithm for ADCP carrier frequency

Rao, Zhongyang; Feng, Chong

doi:10.1109/icindma.2010.5538326

Cited by 1 publication

(1 citation statement)

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“…Simple techniques as zero-padding or windowing are the mostly used, see for instance Djurovic (2007) or Karjalainen and Pautero (2011). There are also more complex approaches available; Zhong-yang and Chun-yuan (2010) propose an algorithm that permits fast and accurate carrier frequency estimation, while Jacobsen and Kootsookos (2007) propose a frequency estimator based on statistical interpretation of the measured data. However, there is no certitude regarding the estimation precision, except when referring to the half of the frequency resolution.…”

Section: The Enhanced Frequency Estimation Methodsmentioning

confidence: 99%

Early Structural Damage Assessment by Using an Improved Frequency Evaluation Algorithm

Gillich

Maia²,

Mituletu

et al. 2015

Lat. Am. j. solids struct.

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This paper introduces a method to identify damages in beam-like structures by analyzing the natural frequency changes of the first six transversal vibration modes. A correlation between the damage location and frequency change is established for each mode separately, by considering the modal strain energy stored in that location. The mathematical relation describing this correlation is used to characterize the dynamic behavior of a beam with a damage of known position and to derive its Damage Location Indicator (DLI) as a six-term vector. The method consists in comparing the vectors describing the damage at any possible location along the beam with the Damage Signature (DS), which is achieved from the measurements that compare the beam's frequencies in healthy and damaged state. A modified Kullback-Leibler Divergence is used to assess the damage location. In order to permit early damage assessment, an improved frequency evaluation algorithm was developed. It is based on signal truncation and consequent spectral lines rearrangement, in order to accurately find the strongest spectral components. The effectiveness of the proposed method is demonstrated by simulations and experiments.

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Section: The Enhanced Frequency Estimation Methodsmentioning

confidence: 99%