Approximate Kernel Orthogonalization for Antenna Array Processing Articles uri icon

publication date

  • September 2010

start page

  • 3942

end page

  • 3950


  • 12


  • 58

International Standard Serial Number (ISSN)

  • 0018-926X

Electronic International Standard Serial Number (EISSN)

  • 1558-2221


  • We present a method for kernel antenna array processing using Gaussian kernels as basis functions. The method first identifies the data clusters by using a modified sparse greedy matrix approximation. Then,
    the algorithm performs model reduction in order to try to reduce the
    final size of the beamformer. The method is tested with simulations that
    include two arrays made of two and seven printed half wavelength thick
    dipoles, in scenarios with 4 and 5 users coming from different angles of
    arrival. The antenna parameters are simulated for all DOAs, and include
    the dipole radiation pattern and the mutual coupling effects of the
    array. The method is compared with other state-of-the-art nonlinear
    processing methods, to show that the presented algorithm has near
    optimal capabilities together with a low computational burden.