Source enumeration in the presence of colored noise

Eguizabal, Alma; Lameiro, Christian; Ramírez García, David; Schreier, Peter J.

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Source enumeration in the presence of colored noise

Author(s): Eguizabal, Alma; Lameiro, Christian; Ramírez García, David; Schreier, Peter J.

Publisher: IEEE

Issued date: 2019-03

Citation: IEEE Signal Processing Letters, (2019), 26(3), pp.: 475-479

ISSN: 1070-9908

DOI: https://doi.org/10.1109/LSP.2019.2895548

Sponsor: This work was supported in part by the German Research Foundation (DFG) under Contract SCHR 1384/3-2, and in part by the Ministerio de Ciencia, Innovación y Universidades, jointly with the European Commission (ERDF), under Grant CAIMAN TEC2017-86921-C2-2-R

Project: Gobierno de España. TEC2017-86921-C2-2-R/CAIMAN

Keywords: Almost cyclostationarity , Cycle period estimation , Detection , Multiple hypothesis test , Sample rate conversion

URI: http://hdl.handle.net/10016/31476

Rights: © 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications standards/publications/rights/index.html for more information.

Abstract:

In array signal processing, the detection of the number of sources is an important step. Most approaches assume the signals to be embedded in white noise. However, this assumption is unrealistic in many scenarios. In this letter, we propose a strategy that can [+]

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