Generalized sidelobe cancellers for multidimensional separable arrays
Miranda RK, Da Costa JPC, Roemer F, De Almeida AL, Del Galdo G (2015)
Publication Type: Conference contribution
Publication year: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 193-196
Conference Proceedings Title: 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
Event location: Cancun, MEX
ISBN: 9781479919635
DOI: 10.1109/CAMSAP.2015.7383769
Abstract
The usage of antenna arrays brought innumerable benefits to radio systems in the last decades. Arrays can have multidimensional structures that can be exploited to achieve superior performance and lower complexity. However, the literature has not explored yet all the advantages arising from these features. This paper uses tensors to provide a method to design efficient beamformers for multidimensional antenna arrays. In this work, the generalized sidelobe canceller (GSC) is extended to a multidimensional array to create the proposed R-Dimensional GSC (R-D GSC). The proposed scheme has a lower computational complexity and, under certain conditions, exhibits an improved signal to interference and noise ratio (SINR).
Involved external institutions
Universidade de Brasília
Brazil (BR)
Technische Universität Ilmenau
Germany (DE)
Universidade Federal do Ceará (UCF)
Brazil (BR)
Brazil (BR)
Technische Universität Ilmenau
Germany (DE)
Universidade Federal do Ceará (UCF)
Brazil (BR)
How to cite
APA:
Miranda, R.K., Da Costa, J.P.C., Roemer, F., De Almeida, A.L., & Del Galdo, G. (2015). Generalized sidelobe cancellers for multidimensional separable arrays. In 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 (pp. 193-196). Cancun, MEX: Institute of Electrical and Electronics Engineers Inc..
MLA:
Miranda, Ricardo Kehrle, et al. "Generalized sidelobe cancellers for multidimensional separable arrays." Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015, Cancun, MEX Institute of Electrical and Electronics Engineers Inc., 2015. 193-196.
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