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Proceedings Paper

Direction-of-arrival tracking by parallel array processing
Author(s): Ana I. Perez-Neira; Miguel A. Lagunas
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Paper Abstract

Antenna arrays collect multidimensional data that contains signals arriving from different sources. Neural Network Architectures can separate the different signals, thus enabling parallel processing structures. These structures can solve a multi-signal estimation problem more efficiently than the corresponding single signal estimator. Various of these parallel architectures are evaluated in the context of array signal processing. Specifically, the scheme developed in this paper (section 2) uses the spatial diversity supplied by the aperture associated with the sensors to separate the signals and to apply them to a bank of parallel adaptive filters. These filters are then designed in accordance with a mean square error minimization criterion (i.e., a criterion based on Second Order Statistics). As Second Order Statistics assume linearity or Gaussianity they are sometimes overly restrictive. It is shown how High Order Statistics can be very useful when more general criteria such as statistical independence between the signals to be separated are imposed.

Paper Details

Date Published: 1 November 1993
PDF: 13 pages
Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); doi: 10.1117/12.160443
Show Author Affiliations
Ana I. Perez-Neira, ETSI Telecommunication (Spain)
Miguel A. Lagunas, ETSI Telecommunication (Spain)


Published in SPIE Proceedings Vol. 2027:
Advanced Signal Processing Algorithms, Architectures, and Implementations IV
Franklin T. Luk, Editor(s)

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