A constant-beamwidth beamforming method for acoustic imaging

Wang, Juan; Feng, Qu; Wu, Renbiao; Su, Zhigang

doi:10.1109/aps.2007.4396476

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…Beamforming remains one of the most powerful technique for processing information and signals from an array of sensors or 'Smart Antenna' acquiring samples located in a spatial architecture of propagating wave fields. The steering vector of the beamformer is an important aspect since it is used for electrically operating either Uniform Linear Array (ULA) or Uniform Circular Array (UCA) in 2D space [1]. The beamformer linearly combines the BEAMFORMER FOR ACOUSTIC SENSING AND MEASUREMENT spatially sampled time series from each sensor to obtain a scalar output time series.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Designing a Full Beamformer for Acoustic Sensing and Measurement

Lay-Ekuakille

Giannoccaro

Casciaro³

et al. 2017

International Journal on Smart Sensing and Intelligent Systems

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-Acoustic sensing is a viable approach for solving issues related to many applications, namely, biomedical, distance measurements, mechanical, health infrastructure monitoring, etc. It is generally sustainable and of no negative impact on the object under test. The use of acoustic sensing under beamforming technique is an important asset to be exploited, especially for the aforementioned applications. This paper illustrates a generalized approach of modeling and designing a full beamfomer using two specific classes: LCMP (Linear Constrained Minimum Power) beamformers that are used to overcome robustness limitations and MVDR (Minimum Variance Distortionless Response) beamformers. Any aspect of modeling and designing is always related to the DOA (Direction of Arrival). The obtained results are based on assumptions extracted from an actual case of constructed system. Index terms: Acoustic sensing, Beamforming, Ultrasonic shape detection, DOA, Distance measurement, array of sensors, interference-to-noise ratio (INR), signal-to-noise ratio (SNR).

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Section: Introductionmentioning

confidence: 99%

Modeling and Designing a Full Beamformer for Acoustic Sensing and Measurement

Lay-Ekuakille

Giannoccaro

Casciaro³

et al. 2017

International Journal on Smart Sensing and Intelligent Systems

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“…Computer simulation results and water pool experiments verified that the proposed algorithm provides a good performance.Algorithms 2019, 12, 33 2 of 12 final focusing effects, and it can even disable the algorithm. To solve this problem, the robust Capon beamforming (RCB) algorithm is used to correct the focusing matrix; it improves the focusing effect by considering the deviation of initial direction estimation [7][8][9]. The second-order cone programming (SOCP) method to compensate for the error of the focusing matrix was used in Reference [10].…”

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confidence: 99%

Optimized Sonar Broadband Focused Beamforming Algorithm

Feng

Zhang

2019

Algorithms

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Biases of initial direction estimation and focusing frequency selection affect the final focusing effect and may even cause algorithm failure in determining the focusing matrix in the coherent signal–subspace method. An optimized sonar broadband focused beamforming algorithm is proposed to address these defects. Initially, the robust Capon beamforming algorithm was used to correct the focusing matrix, and the broadband signals were then focused on the optimal focusing frequency by the corrected focusing matrix such that the wideband beamforming was transformed into a narrowband problem. Finally, the focused narrowband signals were beamformed by the second-order cone programming algorithm. Computer simulation results and water pool experiments verified that the proposed algorithm provides a good performance.

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