Amplitude information-frequency characteristics for multi-frequency excitation of underwater active electrolocation systems

Ren, Qingxuan; Peng, Jiegang; Chen, Hongjin

doi:10.1088/1748-3190/ab526b

Cited by 6 publications

(7 citation statements)

References 38 publications

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“…In recent years, several methods for EAD have been proposed, such as the electricsense method [7,8], the electrical impedance method [4,[9][10][11][12], and the amplitude information -frequency characteristics method [13,14]. Bazeille et al [7] proposed a purely model-based heuristic strategy, which estimates the pose and size of an ellipsoidal object based on a single straight trajectory.…”

Section: Introductionmentioning

confidence: 99%

Active Electric Anomaly Detection Method for Underwater Targets Based on the Orthonormal Basis Function

Zhao

Shang

et al. 2022

JMSE

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Electric anomaly detection (EAD) has been widely used for target detection in underwater areas. However, due to the high path loss in the water, an electric anomaly is usually submerged in environmental noise and interference, which affects the detection performance of traditional anomaly detection methods. To address this problem and improve the detection accuracy in a low signal-to-noise ratio (SNR) environment, this paper proposes an active electric anomaly detection (AEAD) method based on the orthonormal basis function (OBF). First, a four-electrode active detection system was designed. Then, a set of OBFs based on the electric field disturbance model were derived to describe the detection system characteristic, linearly and effectively. Finally, an AEAD system was designed, and the proposed method was verified experimentally using a electromagnetic simulation tool to detect a spherical anomaly target. The experimental results show that, compared with the traditional AEAD methods, the proposed method has a better performance.

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Section: Introductionmentioning

confidence: 99%

Active Electric Anomaly Detection Method for Underwater Targets Based on the Orthonormal Basis Function

Zhao

Shang

et al. 2022

JMSE

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“…Thus, additional work needs to be conducted. In 2019, Ren et al studied the AIFC for multi-frequency excitation of underwater active electrolocation systems, finding that graphite electrodes performed much better than titanium electrodes for multi-frequency signal detection [24]. Besides, they employed multi-frequency signals for excitation and gained the FIP of underwater objects efficiently and accurately on the basis of Peng's work.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Object Geometric Features on Frequency Inflection Point of Underwater Active Electrolocation System

Han

Peng

et al. 2021

JMSE

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Biologists have discovered a kind of weakly electric fish that identifies its prey by using active electrolocation in virtual darkness. In this study, we built an underwater active electrolocation system platform designed to investigate the biological mechanism allowing these fish to distinguish objects and determine how the amplitude information-frequency characteristic (AIFC) response are affected by the geometric characteristics of target objects in the active electrolocation system. We used a single-frequency sinusoidal signal to scan metal objects in different orientations and observed the amplitude information response variation of the disturbed detection signal. The detection frequency dead zone (DFDZ) and the frequency inflection point (FIP) were used to characterize the variation. In addition, we repeated the experiments after replacing the metal objects with objects of different materials and geometric characteristics to summarize the general laws. Our results showed that the FIP value of the detection signal was lowest when the object was detected in the orientation of its corner and highest when the object was detected in the orientation of its surface. The geometrical characteristics of metal objects in different orientations have a certain influence on the amplitude of the detection signal. Article Highlights: (1) The general law between the shape of metal probed objects, and electric field detection signal was found and summarized. (2) We used a single-frequency sinusoidal signal to scan regular metal probed objects, and it was found that the frequency inflection point (FIP) of the metal probed objects edge was the highest, whereas that of the corner was the lowest. (3) The shape of a metal object can be recognized by scanning regular metal objects with an electric field signal.

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“…On the other hand, considering different types of excitations, for example, direct/indirect excitation and auto-/ parametric excitation, the loads applied on structures are very complicated and always contain multifrequency harmonic forces. e rich and complex dynamics of nonlinear oscillations attracted the attention of the research community, leading to exploring the possibility of understanding dynamical behaviors in nonlinear systems subjected to multifrequency excitations [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

“…Xu et al [34] investigated the vibration behaviors of multiparametric excitations and multifrequency external excitations of the rolling mill under entry thickness fluctuation of the strip. Ren et al [35] investigated the amplitude-information-frequency characteristics for an underwater active electrolocation composition system subjected to multifrequency excitations. Jabar et al [36] analytically and experimentally investigated the nonlinear oscillations of a clamped-clamped microbeam under multifrequency excitations.…”

Section: Introductionmentioning

confidence: 99%

Temperature Effects on Dynamic Properties of Suspended Cables Subjected to Dual Harmonic Excitations

Zhao

Zheng

Lin

et al. 2021

Shock and Vibration

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The paper aims at studying the influences of temperature on the suspended cables’ dynamical behaviors subjected to dual harmonic excitations in thermal environments. Significantly, the quadratic nonlinearity and the corresponding secondary resonances are considered. By introducing a tension variation factor, the nonlinear vibration equations of motion could be obtained based on the condensation model. By using Galerkin’s procedure, the continuous model of the nonlinear system is reduced to a set of infinite models with quadratic and cubic nonlinearities. By using the multiple scales method, the resultant reduced model is solved and the stability analysis is also presented in two simultaneous resonance cases. Nonlinear dynamical behaviors with thermal effects are presented using bifurcation diagrams, time-history curves, phase portraits, frequency spectrums, and Poincaré sections. The numerical results show that thermal effects induce different scenarios. The sensitivities of linear (natural frequency) and nonlinear (quadratic and cubic) coefficients to temperature variations are different. The temperature may increase or decrease the response amplitudes depending on the excitation amplitude and the sag-to-span ratio. The inflection point is shifted and exhibited at a smaller or larger excitation amplitude in thermal environments. The resonant range between two Pitchfork bifurcations seems to be reduced when the temperature is decreasing. The response amplitude is very sensitive to temperature, and even an opposite spring behavior may be exhibited due to warming/cooling conditions. However, the periodic motions seem independent of temperature variations.

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Amplitude information-frequency characteristics for multi-frequency excitation of underwater active electrolocation systems

Cited by 6 publications

References 38 publications

Active Electric Anomaly Detection Method for Underwater Targets Based on the Orthonormal Basis Function

Active Electric Anomaly Detection Method for Underwater Targets Based on the Orthonormal Basis Function

The Effect of Object Geometric Features on Frequency Inflection Point of Underwater Active Electrolocation System

Temperature Effects on Dynamic Properties of Suspended Cables Subjected to Dual Harmonic Excitations

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