Performance of a non-linear adaptive beamforming algorithm for signal-of-interest extraction

Date

2015-05-19

Author

Özkan, Oğuz
Tuncer, Temel Engin

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In this article, a non-linear adaptive beamforming technique, Adaptive Projections Subgradient Method (APSM) [1] is considered. This technique uses projections over convex sets in Reproducing Kernel Hilbert Space. Main advantage of this technique is observed if the signal-of-interest is due to digital modulation and when there are more jammers than the number of antennas. The performance of this non-linear beamforming technique is compared with well-known method Minimum Variance Distortionless Response (MVDR) Beamformer. An algorithm which enhances MVDR Performance in the scenario of more-jammers-than-antennas has been proposed. The beamformer methods are compared in a variety of scenario in order to outline the advantages and disadvantages clearly.

Subject Keywords

Adaptive beamforming, Linear beamforming, Non-linear beamforming, Reproducing Kernel Hilbert Space, Projection, Uyarlamalı hüzme şekillendirme, Doğrusal hüzme şekillendirme, Doğrusal olmayan hüzme şekillendirme, Üretken Çekirdek Hilbert Uzayı, İzdüşüm

URI

https://hdl.handle.net/11511/53866
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7129956

DOI

https://doi.org/10.1109/SIU.2015.7129956

Conference Name

23nd Signal Processing and Communications Applications Conference (SIU) 2015

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

O. Özkan and T. E. Tuncer, “Performance of a non-linear adaptive beamforming algorithm for signal-of-interest extraction,” presented at the 23nd Signal Processing and Communications Applications Conference (SIU) 2015, Malatya, Turkey, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53866.