Target Echo Enhancement Using a Single-Element Time Reversal Mirror

Pautet, L.; Teseï, Alessandra; Guerrini, Piero; Pouliquen, E.

doi:10.1109/joe.2005.862131

Cited by 12 publications

(3 citation statements)

References 8 publications

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“…In this section, we show that, despite such technical problems, the SSR-TRA procedure works well, even using a single TR channel [25,42]. Better results can of course be obtained using a larger number of channels, but are not reported here for brevity.…”

Section: Experimental Validationmentioning

confidence: 82%

Selective source reduction to identify masked sources using time reversal acoustics

Scalerandi

Gliozzi

Anderson

et al. 2008

J. Phys. D: Appl. Phys.

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The presence of strong sources of elastic waves often makes it impossible to localize weaker ones, which are sometimes the most meaningful, e.g. in the characterization of complexity of active Earth faults or of microdamage in a composite structural material. To address this problem, a selective source reduction method is proposed here which, applied in conjunction with time reversal acoustics (TRA), provides the means to selectively reduce the contribution of strong sources allowing full illumination of the weak ones. The method is complementary to other methods based on TRA which aim at the selective illumination of scatterers in the propagation medium. In this paper, a description of the method is given along with presentation of a few numerical results to demonstrate its usefulness for localization of sources. Validation and some experimental results are also presented.

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Section: Experimental Validationmentioning

confidence: 82%

Selective source reduction to identify masked sources using time reversal acoustics

Scalerandi

Gliozzi

Anderson

et al. 2008

J. Phys. D: Appl. Phys.

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“…The M-ary spread spectrum communication system in ice-covered water based on energy monitoring technology (EMT) adds a spread code selector in the spreading process, which maps the multi-bit binary information stream into one of the pseudo-random sequences for transmission [3] . If the original binary information stream has Figure 1 shows the encoding and decoding process of the M-ary spread spectrum communication in ice-covered water.…”

Section: The M-ary Spread Spectrum Communication Model In Ice-covered...mentioning

confidence: 99%

Research on M-ary spread spectrum communication system in ice-covered water based on energy monitoring technology

He,

Zeng,

Liu

et al. 2023

Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023)

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The acoustic channel in ice-covered water largely limits the transmission capacity and performance of the communication signals. Spread spectrum systems have stable performance and strong resistance to multipath interference, which can effectively cope with the interference caused by the ocean environment on signal propagation. Nevertheless, traditional direct-sequence spread spectrum systems have a low communication rate. This paper focuses on the research of an M-ary spread spectrum communication system in ice-covered water based on energy monitoring technology. It explores a robust underwater acoustic communication system that can exponentially improve information transmission capacity and bandwidth utilization. The communication encoding mode is validated in an ice-covered underwater acoustic outfield experiment, achieving zero error code transmission. The experiment verifies the feasibility of the communication system and algorithm.

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“…The analysis 11 shows the iterative process involving a time reversal mirror could automatically obtain the optimal incident field to achieve the maximum distinguishability between the target and background in acoustic imaging. The tank experiments 12 are performed with a spherical shell, a small stone, and a complex steel object as targets, and the results indicate the single channel iterative time reversal would provide significant echo enhancement, thus to improve the single-to-noise ratio. Numerical studies 13 demonstrate the iterative time reversal process will gradually lead echoes to converge to a narrowband signal, in which the analysis is mainly based on the case of a rigid sphere in homogeneous half-space.…”

Section: Introductionmentioning

confidence: 99%

Volume Clutter Elimination, Rough Interface Reverberation Suppression, and Target Resonance Convergence in Heterogeneous Media Using an Iterative Time Reversal Mirror

Ying

2010

J. Comp. Acous.

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The presence of the clutter of volume scattering and the echo return from rough interface hinders the detection of target in heterogeneous media. This work investigates the application of an iterative time reversal mirror to mitigate the difficulties. Numerical simulations based on pseudospectral finite-difference time-domain method are performed in one and two layered media. A wideband probe pulse is launched to initiate the process, and the time-reversed echo received at the same position is retransmitted as the renewed input signal for next iteration, and repeat the procedures iteratively. The results illustrate as the number of iteration increases, small volume clutter is eliminated, interface reverberation is suppressed relatively, and the echoes will converge to a time-harmonic waveform that corresponds to an object's dominant resonance mode. The detection of target is achieved by extracting this important acoustic signature.

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Target Echo Enhancement Using a Single-Element Time Reversal Mirror

Cited by 12 publications

References 8 publications

Selective source reduction to identify masked sources using time reversal acoustics

Selective source reduction to identify masked sources using time reversal acoustics

Research on M-ary spread spectrum communication system in ice-covered water based on energy monitoring technology

Volume Clutter Elimination, Rough Interface Reverberation Suppression, and Target Resonance Convergence in Heterogeneous Media Using an Iterative Time Reversal Mirror

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