Optimal Localization of Partially Known Signals in Unknown Noise Fields

• Most methods for sensor array signal processing require the covariance matrix of the background noise to beknown. Various techniques for overcoming this limitation have recently been proposed. While most of these are based on assumptions on the noise, we present herein an alternative approach based on partial knowledge of thesignals. Methods yielding minimum variance estimates for the model in question are presented and analyzed.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

Nyckelord

Background noise

Colored noise

Contracts

Covariance matrix

Direction of arrival estimation

Phased arrays

Sensor arrays

Sensor phenomena and characterization

Signal processing

Yield estimation

Publikations- och innehållstyp

ref (ämneskategori)

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