Passive detection of BPSK radar signals with unknown parameters using multi-sensor arrays

The acoustic source localization in 3D structures is a challenging task especially if the structure is heterogeneous. A large number of unknown parameters in a 3D heterogeneous structure require a large number of sensor arrays for accurate source localization. In this article, a localization technique is proposed using triangular pyramid shaped sensor clusters. The time difference of arrival of acoustic signals between different sensors of the clusters is analyzed to localize the acoustic source. It uses acoustic wave propagation information to rapidly localize the acoustic source. This rapid acoustic source localization technique works well for both homogeneous and heterogeneous media. It considers the refraction in heterogeneous media using Snell’s law. The proposed technique is verified experimentally and numerically. The experimental results show that the technique is effective for source localization in 3D homogeneous structures. Numerical results are generated by finite element modeling for both homogeneous and heterogeneous structures. The results show the reliability of the proposed technique. This technique helps to localize the acoustic source with only a few sensors and is indispensable for monitoring large 3D structures with monitoring equipment that can handle only a few sensors.

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General First-Order Framework for Passive Detection with Two Sensor Arrays

2019 53rd Asilomar Conference on Signals, Systems, and Computers ◽

10.1109/ieeeconf44664.2019.9048650 ◽

2019 ◽

Author(s):

Louis Scharf ◽

L. Todd McWhorter ◽

James Given ◽

Margaret Cheney

Keyword(s):

Sensor Arrays ◽

Passive Detection ◽

First Order

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Time-chirp Distribution for Detection and Estimation of LPI Radar Signals

2020 21st International Radar Symposium (IRS) ◽

10.23919/irs48640.2020.9253807 ◽

2020 ◽

Author(s):

Ewa Swiercz ◽

Krzysztof Konopko ◽

Dariusz Janczak

Keyword(s):

Detection And Estimation ◽

Radar Signals

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Graphic method for assessing the margins of resistance to acoustic vibrations in the chambers of rocket engines by combustion noise

10.36652/0042-4633-2020-8-15-21 ◽

2020 ◽

pp. 15-21

Author(s):

R.A. Tsarapkin ◽

V.N. Ivanov ◽

V.I. Biryukov

Keyword(s):

Rocket Engine ◽

Spectral Characteristics ◽

Combustion Process ◽

Combustion Noise ◽

Rocket Engines ◽

Acoustic Vibrations ◽

Statistical Regression ◽

Unknown Parameters ◽

Damping Decrement ◽

Resonance Frequencies

An experimental method is proposed for estimating the damping decrements of pressure fluctuations in the combustion chambers of forced rocket engines. The method is based on the statistical processing of noise pressure pulsations in the vicinity of natural resonance frequencies for normal modes of acoustic vibrations of the reaction volume and the subsequent prediction of the instability of the combustion process relative to acoustic vibrations. Based on the theory of statistical regression for multidimensional experimental data, the problem of predicting unknown parameters of sample distributions is solved by asymptotic determination of the correlation coefficient of the damping decrement of pressure vibrations through optimal linear predictors and the Kolmogorov distribution. Keywords rocket engine, combustion chamber, acoustic vibrations, combustion noise, spectral characteristics, Kolmogorov criterion, damping decrement. [email protected]

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