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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Johnson, D., Dudgeon, D.: Array Signal Processing: Concepts and Techniques. Prentice Hall, Englewood Cliffs (1993)
Harshman, R.A.: Foundations of the PARAFAC procedure: models and conditions for an “explanatory” multi-modal factor analysis. UCLA working papers in phonetics, pp. 1–84 (1970)
Comon, P.: Tensor decompositions, state of the art and applications. In: IMA Conference on Mathematics in Signal Processing, Warwick, UK (2000)
Lim, L.-H., Comon, P.: Multiarray signal processing: tensor decomposition meets compressed sensing. Compte-Rendus Mcanique de l’Academie des Sciences 338(6), 311–320 (2010)
Comon, P., Luciani, X., De Almeida, A.L.F.: Tensor decompositions, alternating least squares and other tales. J. Chemometrics 23, 393–405 (2009)
Acar, E., Dunlavy, D.M., Kolda, T.G.: A scalable optimization approach for fitting canonical tensor decompositions. J. Chemometrics 25, 67–86 (2011)
Comon, P., Minaoui, K., Rouijel, A., Aboutajdine, D.: Performance index for tensor polyadic decompositions. In: 21th EUSIPCO, Marrakech, Morocco (2013)
Kruskal, J.B.: Three-way arrays: rank and uniqueness of trilinear decompositions. Linear Algebra Appl. 18, 95–138 (1977)
Smilde, A.K., Bro, R., Geladi, P.: Multi-way analysis. Applications in the Chemical Sciences. Wiley, Chichester (2004)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Rouijel, A., Minaoui, K., Comon, P., Aboutajdine, D. (2014). Short: Blind Separation of the Multiarray Multisensor Systems Using the CP Decomposition. In: Noubir, G., Raynal, M. (eds) Networked Systems. NETYS 2014. Lecture Notes in Computer Science(), vol 8593. Springer, Cham. https://doi.org/10.1007/978-3-319-09581-3_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-09581-3_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09580-6
Online ISBN: 978-3-319-09581-3
eBook Packages: Computer ScienceComputer Science (R0)