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• W1603481662 abstract "Array processing techniques aim principally at estimating source Directions Of Arrivals (DOA’s) based on the observations recorded on a sensor array. The vector-sensor technology allows the use of polarization as an additional parameter, leading to vector sensor array processing. In electromagnetics, a vector sensor is composed of six spatially collocated but orthogonally polarized antennas, measuring all six components (three for the electric and three for the magnetic fields) of the incident wave. The benefits of considering source polarization in signal estimation were illustrated in Burgess and Van Veen (1994); Le Bihan et al. (2007); Li (1993); Miron et al. (2006); Nehorai and Paldi (1994); Rahamim et al. (2003); Weiss and Friedlander (1993a); Wong and Zoltowski (1997) for diverse signal processing problems. Most of these algorithms are based on bilinear polarized source mixture models which suffers from identifiability problems. This means that, without any additional constraint, the steering vectors of the sources (and implicitly their DOA’s) cannot be uniquely determined by matrix factorization. The identifiability issues involved in vector sensor applications are investigated in Ho et al. (1995); Hochwald and Nehorai (1996); Tan et al. (1996a;b)." @default.
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• W1603481662 date "2010-03-01" @default.
• W1603481662 modified "2023-10-02" @default.
• W1603481662 title "Vector Sensor Array Processing for Polarized Sources Using a Quadrilinear Representation of the Data Covariance" @default.
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• W1603481662 doi "https://doi.org/10.5772/8523" @default.
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