DOAJ Open Access 2017

Tensor-Based Methods for Blind Spatial Signature Estimation in Multidimensional Sensor Arrays

Paulo R. B. Gomes André L. F. de Almeida João Paulo C. L. da Costa João C. M. Mota Daniel Valle de Lima +1 lainnya

Abstrak

The estimation of spatial signatures and spatial frequencies is crucial for several practical applications such as radar, sonar, and wireless communications. In this paper, we propose two generalized iterative estimation algorithms to the case in which a multidimensional (R-D) sensor array is used at the receiver. The first tensor-based algorithm is an R-D blind spatial signature estimator that operates in scenarios where the source’s covariance matrix is nondiagonal and unknown. The second tensor-based algorithm is formulated for the case in which the sources are uncorrelated and exploits the dual-symmetry of the covariance tensor. Additionally, a new tensor-based formulation is proposed for an L-shaped array configuration. Simulation results show that our proposed schemes outperform the state-of-the-art matrix-based and tensor-based techniques.

Topik & Kata Kunci

Electrical engineering. Electronics. Nuclear engineering Cellular telephone services industry. Wireless telephone industry

Penulis (6)

Paulo R. B. Gomes

André L. F. de Almeida

João Paulo C. L. da Costa

João C. M. Mota

Daniel Valle de Lima

Giovanni Del Galdo

Format Sitasi

APA MLA BibTeX

Gomes, P.R.B., Almeida, A.L.F.d., Costa, J.P.C.L.d., Mota, J.C.M., Lima, D.V.d., Galdo, G.D. (2017). Tensor-Based Methods for Blind Spatial Signature Estimation in Multidimensional Sensor Arrays. https://doi.org/10.1155/2017/1615962

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Informasi Jurnal

Tahun Terbit: 2017
Sumber Database: DOAJ
DOI: 10.1155/2017/1615962
Akses: Open Access ✓