Short: Blind separation of the multiarray multisensor systems using the CP decomposition

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Abstract

Sensor arrays are used in many applications, where their ability to localize signal sources is essential. One of the sensor applications is the signal processing of multi antennas with multi sensors. In this paper, we present an application of the proposed Canonical Polyadic decomposition (CP decomposition), with isolation of scaling matrix to multiarray multisensor systems. A simple blind receiver based on the enhanced alternating least squares (E-ALS) algorithm is presented. For illustrating this application, computer simulations are provided and demonstrate the good behavior of these algorithm compared to the old ALS algorithm. © 2014 Springer International Publishing.

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Rouijel, A., Minaoui, K., Comon, P., & Aboutajdine, D. (2014). Short: Blind separation of the multiarray multisensor systems using the CP decomposition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8593 LNCS, pp. 313–318). Springer Verlag. https://doi.org/10.1007/978-3-319-09581-3_22

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