Abstract
Performance of the sample matrix inversion (SMI) beamformer degrades severely due to the finite sample size effect and the arrival angle mismatch problem. A simple technique to provide robustness to the conventional SMI beamformer is to block the desired signal from the received data before calculating the beamformer's weight vector, which leads to the data subtraction based SMI (S-SMI) beamformer. In this paper,d we analyse the performance of the S-SMI beamformer in term of its output signal-to-interference-plus-noise ratio (SINR) in the presence of both finite sample size effect and arrival angle mismatch problem. (5 pages)
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.
