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4 Optimum Beamforming for Wideband Non-stationary Signals

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Part of the Lecture Notes in Control and Information Science book series (LNCIS,volume 315)

Abstract

Array processing techniques strive for extraction of maximum information from a propagating wave field using groups of sensors, which are located at distinct spatial locations. The sensors transduce propagating waves into signals describing both a finite spatial and a temporal aperture. In accordance with temporal sampling which leads to the discrete time domain, spatial sampling by sensor arrays forms the discrete space domain. Thus, with sensor arrays, signal processing operates in a multi-dim ensional space-time domain. The processor which combines temporal and spatial filtering using sensor arrays is called a beamformer. Many properties and techniques which are known from temporal FIR filtering directly translate t o beamforming based on finite spatial aperturesFootnote 1.

Keywords

  • Sensor Array
  • Wideband Signal
  • Minimum Variance Distortionless Response
  • Array Gain
  • Power Pattern

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Notes

  1. 1.

    See [VB88] for a tutorial about beamforming relating properties of temporal FIR filtering and space-time processing.

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Herbordt, W. 4 Optimum Beamforming for Wideband Non-stationary Signals. In: Sound Capture for Human/Machine Interfaces. Lecture Notes in Control and Information Science, vol 315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11311942_4

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  • DOI: https://doi.org/10.1007/11311942_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23954-3

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