Multiple Phase Difference Method for Real-Time SAR Autofocus

This paper presents a novel abnormal data detecting algorithm based on the first order difference method, which could be used to find out outlier in building energy consumption platform real time. The principle and criterion of methodology are discussed in detail. The results show that outlier in cumulative power consumption could be detected by our method.

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A New Method for Phase Difference Estimation Based on Time-Varying Signal Model

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.333-335.650 ◽

2013 ◽

Vol 333-335 ◽

pp. 650-655

Author(s):

Peng Hui Niu ◽

Yin Lei Qin ◽

Shun Ping Qu ◽

Yang Lou

Keyword(s):

Signal Processing ◽

Real Time ◽

Phase Difference ◽

Time Signal ◽

Time Interval ◽

Time Varying ◽

Signal Model ◽

Time Frequency ◽

Mass Flowmeter ◽

Coriolis Mass Flowmeter

A new signal processing method for phase difference estimation was proposed based on time-varying signal model, whose frequency, amplitude and phase are time-varying. And then be applied Coriolis mass flowmeter signal. First, a bandpass filtering FIR filter was applied to filter the sensor output signal in order to improve SNR. Then, the signal frequency could be calculated based on short-time frequency estimation. Finally, by short window intercepting, the DTFT algorithm with negative frequency contribution was introduced to calculate the real-time phase difference between two enhanced signals. With the frequency and the phase difference obtained, the time interval of two signals was calculated. Simulation results show that the algorithms studied are efficient. Furthermore, the computation of algorithms studied is simple so that it can be applied to real-time signal processing for Coriolis mass flowmeter.

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Use of spatial phase difference method to detect microwaves associated with stator coil partial discharge in a generator

Electrical Engineering in Japan ◽

10.1002/(sici)1520-6416(19971115)121:2<16::aid-eej3>3.0.co;2-w ◽

1997 ◽

Vol 121 (2) ◽

pp. 16-26 ◽

Cited By ~ 1

Author(s):

Masatake Kawada ◽

Zen-Ichiro Kawasaki ◽

Kenji Matsuura ◽

Toshio Musashiya ◽

Katsunori Otoba ◽

...

Keyword(s):

Phase Difference ◽

Difference Method ◽

Partial Discharge ◽

Spatial Phase

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Research of Magnetic Grid Rail Splicing Technology Based on Phase Difference Detection Method

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.278-280.905 ◽

2013 ◽

Vol 278-280 ◽

pp. 905-914

Author(s):

Wen Tao Gu ◽

Shao Kun Lei ◽

Fang Li ◽

Shao Wei Zhou

Keyword(s):

Real Time ◽

Phase Difference ◽

Detection Algorithm ◽

Initial Position ◽

Signal Frequency ◽

Simulation Test ◽

Signal Phase ◽

Difference Detection ◽

Phase Errors ◽

New Type

To meet the high real-time performance and high accuracy requirements of signal detection in the rail splicing process, this paper proposes a new type of magnetic grid rail splicing method based on accurately zeroing output signal phase difference of two magnetic grid reading heads, thus establishing two reading heads “shift” rules. The accurate zero setting technology of phase difference is based on Nuttall window algorithm, which doesn’t need to give the exact signal frequency beforehand and sample periodically, and can effectively eliminate phase errors. So this algorithm is suitable for detecting signal phase difference when reading heads go over buff joints with any speed at any initial position. Additionally, simulation test and experimental verification were performed on this detection algorithm and “shift” rules. The results show that, the method mentioned in this paper can real-time detect the phase difference by “shift” rules, when reading heads go over buff joints with any speed or any acceleration.

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