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1

Effect of circular aperture diffraction on propagation properties of cylindrical vector partially coherent Laguerre–Gaussian beams in turbulent atmosphere

Peng Z., Jia X.

Optica Applicata

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2018

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Vol. 48, nr 3

421--433

EN

On the basis of the extended Huygens–Fresnel integral formula, the analytical formulae for the cross-spectral density matrix of the arbitrary cylindrical vector partially coherent Laguerre–Gaussian beams diffracted by a circular aperture in turbulent atmosphere are derived. The average intensity, the degree of polarization, and the degree of coherence of the apertured cylindrical vector partially coherent beams propagating in turbulent atmosphere are investigated. The analyses indicate that both the beam diffraction effect by a circular aperture and the atmospheric turbulence have a great impact on the beam evolution, polarization and coherence properties of the apertured cylindrical vector partially coherent beams.

2

Analysis and Modelling on Radiated Noise of a Typical Fishing Boat Measured in Shallow Water Inspired by AQUO Project’s Model

Peng Z., Fan J., Wang B.

Archives of Acoustics

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2018

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Vol. 43, No. 2

263--273

EN

The shipping noise near channels and ports is an important contribution to the ambient noise level, and the depth of these sites is often less than 100 m. However less attention has been paid to the measurement in shallow water environments (Brooker, Humphrey, 2016). This paper presents extensive measurements made on the URN (underwater radiated noise) of a small fishing boat in the South China Sea with 87 m depth. The URN data showed that the noise below 30 Hz was dominated by the background noise. The transmission loss (TL) was modelled with FEM (finite element method) and ray tracing according to the realistic environmental parameters in situ. The discrepancy between the modelled results and the results using simple law demonstrates both sea surface and bottom have significant effect on TL for the shallow water, especially at low frequencies. Inspired by the modelling methodology in AQUO (Achieve QUieter Oceans) project (Audoly et al., 2015), a predicted model applied to a typical fishing boat was built, which showed that the URN at frequencies below and above 100 Hz was dominated by non-cavitation propeller noise and mechanical noise, respectively. The agreement between predicted results and measured results also demonstrates that this modelling methodology is effective to some extent.

3

Limit properties of exceedances point processes of scaled stationary gaussian sequences

Hashorva E., Peng Z., Weng Z.

Probability and Mathematical Statistics

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2014

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Vol. 34, Fasc. 1

45--59

EN

We derive the limiting distributions of exceedances point processes of randomly scaled weakly dependent stationary Gaussian sequences under some mild asymptotic conditions. In the literature analogous results are available only for contracted stationary Gaussian sequences. In this paper, we include additionally the case of randomly inflated stationary Gaussian sequences with a Weibullian type random scaling. It turns out that the maxima and minima of both contracted and inflated weakly dependent stationary Gaussian sequences are asymptotically independent.

4

Power system frequency estimation algorithm for electric energy metering of nonlinear loads

Peng Z., Hong-Bin L.

Metrology and Measurement Systems

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2012

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Vol. 19, nr 2

307-320

EN

In this paper, a discrete wavelet transform (DWT) based approach is proposed for power system frequency estimation. Unlike the existing frequency estimators mainly used for power system monitoring and control, the proposed approach is developed for fundamental frequency estimation in the field of energy metering of nonlinear loads. The characteristics of a nonlinear load is that the power signal is heavily distorted, composed of harmonics, inter-harmonics and corrupted by noise. The main idea is to predetermine a series of frequency points, and the mean value of two frequency points nearest to the power system frequency is accepted as the approximate solution. Firstly the input signal is modulated with a series of modulating signals, whose frequencies are those frequency points. Then the modulated signals are decomposed into individual frequency bands using DWT, and differences between the maximum and minimum wavelet coefficients in the lowest frequency band are calculated. Similarities among power system frequency and those frequency points are judged by the differences. Simulation results have proven high immunity to noise, harmonic and inter-harmonic interferences. The proposed method is applicable for real-time power system frequency estimation for electric energy measurement of nonlinear loads.