Source Localization and Sensing: A Nonparametric Iterative Adaptive Approach Based on Weighted Least Squares

Array processing is widely used in sensing applications for estimating the locations and waveforms of the sources in a given field. In the absence of a large number of snapshots, which is the case in numerous practical applications, such as underwater array processing, it becomes challenging to estimate the source parameters accurately. This paper presents a nonparametric and hyperparameter, free-weighted, least squares-based iterative adaptive approach for amplitude and phase estimation (IAA-APES) in array processing. IAA-APES can work well with few snapshots (even one), uncorrelated, partially correlated, and coherent sources, and arbitrary array geometries. IAA-APES is extended to give sparse results via a…

• NS
  National Science Foundation

  Awards: 0621879, 0729727, 0634786
• NA
  National Aeronautics and Space Administration

  Award: NNX07AO15A
• V
  Vetenskapsrådet
• OO
  Office of Naval Research

  Award: N00014
• AR
  Army Research Office

  Award: W911NF