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Related Concept Videos

Beams with Unsymmetric Loadings01:17

Beams with Unsymmetric Loadings

Analyzing a supported beam under unsymmetrical loadings is essential in structural engineering to understand how beams respond to varied force distributions. This analysis involves calculating the deflection and identifying points where the slope of the beam is zero, which are crucial for ensuring structural stability and functionality.
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Beamforming using compressive sensing.

Geoffrey F Edelmann1, Charles F Gaumond

  • 1Naval Research Laboratory, 4555 Overlook Avenue West, Code 7140, Washington, DC 20375, USA. geoffrey.edelmann@nrl.navy.mil

The Journal of the Acoustical Society of America
|October 7, 2011
PubMed
Summary
This summary is machine-generated.

Compressive sensing (CS) offers superior performance over conventional beamforming for towed-array sonar data. CS significantly reduces background interference and improves signal-to-interference ratio, especially with undersampling.

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Area of Science:

  • Signal Processing
  • Array Systems
  • Underwater Acoustics

Background:

  • Conventional beamforming is a standard technique for processing towed-array sonar data.
  • Compressive sensing (CS) is an emerging signal processing technique with potential applications in acoustics.

Purpose of the Study:

  • To compare the performance of compressive sensing (CS) against conventional beamforming.
  • To evaluate both methods using at-sea, towed-array data.

Main Methods:

  • Horizontal beamforming was applied to at-sea, towed-array data.
  • Qualitative comparison using bearing time records.
  • Quantitative comparison using signal-to-interference ratio (SIR).

Main Results:

  • Compressive sensing demonstrated lower background interference compared to conventional beamforming.
  • Bearing time records showed tolerable interference levels even with reduced array elements for CS.
  • CS achieved a 12 dB signal-to-interference ratio for the full array, versus 8 dB for conventional beamforming.
  • The advantages of CS were more significant under undersampled conditions.

Conclusions:

  • Compressive sensing is a more effective technique than conventional beamforming for towed-array sonar.
  • CS provides improved performance in terms of interference reduction and signal-to-interference ratio.
  • CS shows particular promise for applications requiring undersampled data acquisition.