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Phase detection method based on adaptive filtering

A technology of adaptive filtering and phase detection, which is applied in the field of signal processing, can solve problems such as deterioration, and achieve the effect of eliminating control errors, overcoming mistakes, and eliminating interference from large noises

Inactive Publication Date: 2009-11-11
INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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Problems solved by technology

Using the quadrature method to estimate the amplitude and phase of the sinusoidal signal, the estimation result will also deteriorate rapidly under the influence of large noise

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  • Phase detection method based on adaptive filtering
  • Phase detection method based on adaptive filtering
  • Phase detection method based on adaptive filtering

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Embodiment Construction

[0030] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0031] The present invention proposes a new way to deal with the problem of phase difference measurement: first estimate the frequency of the signal, then calibrate the frequency, then use adaptive spectral line enhancement to estimate the amplitude and phase value of the signal, and then use the negative entropy to determine whether the Close to 0 to verify the accuracy of the obtained detection results. If it is inaccurate, it means that the frequency estimation in the first step is wrong, and you can choose an appropriate formula when adjusting the frequency in the first step. Finally, an accurate phase estimate is obtained. It is worth noting that the sampling frequency of the signal has a great relationship with the...

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Abstract

The invention discloses a phase detection method based on adaptive filtering. The method comprises the following steps: performing time-frequency domain transformation on input signals and estimating the approximate frequency value of the input signals in a frequency domain; adjusting the estimated approximate frequency value till the error of the approximate frequency value is not enough to cause burden for signal phase detection; detecting the amplitude and phase of sinusoidal signals with known frequency according to adaptive notch algorithm; and utilizing the negative entropy of Gaussian white noise to check and adjust estimated signals. The method provided by the invention has higher precision than the prior phase detection method, and uses the negative entropy to determine result precision so as to enable algorithm selection to have evidence to be found. The method provided by the invention has certain stability to the phase difference measurement with different signal-to-noise ratio, frequency and initial phases, and is suitable for various applications needing precise signal phase difference measurement.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to a phase detection method based on adaptive filtering for solving the problem of signal phase difference measurement. Especially in the power system, under the background of large noise, the real-time accurate measurement of sinusoidal or sinusoidal mixed signal phase. Background technique [0002] When the signal-to-noise ratio (SNR) is 1:1, the sampled signal can be expressed in the form of formula (1): [0003] x(n)=sin(2πf 0 n+φ)+w(n)(1) [0004] where w(n) is Gaussian white noise. [0005] figure 1 These are the original signal (top image) and the signal mixed with white noise (signal-to-noise ratio is 1:1) (bottom image). figure 2 is the result of noise separation: the upper picture is the separation result, and the lower picture is the separated noise. The preliminary phase detection result is basically consistent with the phase of the original signal. Sli...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R25/00
Inventor 周孔丹鲁华祥
Owner INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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