Journal of Xidian University

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Robust adaptive beamforming with near-field scatterers

LIAO Ruiqian;XU Jingwei;LIAO Guisheng   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China)
  • Received:2017-04-22 Online:2017-10-20 Published:2017-11-29

Abstract:

Near-field scattering which causes steering vector mismatch with array received data suffers severe performance degradation with beamforming. A new robust adaptive beamforming algorithm based on the steering vector uncertainty set is proposed to utilize the near-field scattering signal to improve the beamforming output signal-to-noise ratio. The properties of the far-field direct-path signal and near-field signal are incorporated. The large uncertainty set is divided into two small ones describing the far-field and near-field steering vectors, respectively. The far-field steering vectors and the near-field scattering coefficient with a transform matrix are evaluated by convex optimization. Simulation examples demonstrate that the algorithm is correct and effective.

Key words: robust adaptive beamforming, near-field scattering, array signal processing, uncertainty set