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Related Experiment Videos

The use of nonuniform element spacing in array processing algorithms.

S S Shanan1, C A Pomalaza-Raez

  • 1Department of Engineering, Purdue University, Fort Wayne, Indiana 46805.

The Journal of the Acoustical Society of America
|October 1, 1989
PubMed
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Nonuniform element spacing improves array signal processing. This method enhances performance in Bartlett, linear prediction (LP), and minimum variance (MV) algorithms for better source bearing estimation.

Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Array Geometry

Background:

  • Traditional array signal processing relies on uniform element spacing for source bearing estimation.
  • Uniform spacing can lead to performance limitations in algorithms like Bartlett, Linear Prediction (LP), and Minimum Variance (MV).

Purpose of the Study:

  • To investigate the advantages of employing nonuniform element spacing in array signal processing.
  • To evaluate the impact of nonuniform spacing on Bartlett, LP, and MV algorithms.

Main Methods:

  • Utilizing optimal element spacing derived from prior research on sidelobe reduction for the Bartlett method.
  • Applying these optimal nonuniform spacings to Bartlett, LP, and MV array processing algorithms.

Main Results:

Related Experiment Videos

  • Nonuniform element spacing leads to improved performance in LP and MV array processing algorithms.
  • Enhanced array output power is achieved by incorporating optimum nonuniform element spacing.

Conclusions:

  • Nonuniform element spacing offers significant benefits over uniform spacing in array signal processing.
  • The findings demonstrate a practical method for enhancing the performance of established array processing techniques.