Abstract
Adaptive algorithms have been applied in beam-forming applications with adaptive linear and planar arrays. In this paper, we are concerned with adaptive beamforming algorithms for 3D semispherical arrays. We present a low rank adaptive algorithm, which we call the 3D low rank recursive least squares approximate power iteration. The algorithm uses a high performance subspace tracker integrated with a low rank RLS beamformer. The algorithm is computationally efficient compared to the RLS beamformer with better steady state performance and, in certain situations, equally fast convergence. The algorithm is evaluated in terms of computational complexity and adaptation speed with comparative results to the RLS beamformer.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
