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EURASIP Journal on Advances in Signal Processing

, 2011:88

Advances in Angle-of-Arrival and Multidimensional Signal Processing for Localization and Communications

Abstract

This article treats the problem of angular spread AS estimation at a base station of a macro-cellular system when a line-of-sight LOS is potentially present. The new low-complexity AS estimator first estimates the LOS component with a moment-based K-factor estimator. Then, it uses a look-up table LUT approach to estimate the mean angle of arrival AoA and AS. Provided that the antenna geometry allows it, the new algorithm can also benefit from a new procedure that selects the angular distribution of the received signal from a set of possible candidates. For this purpose, a nonlinear antenna configuration is required. When the angular distribution is known, any antenna structure could be used a priori; hence, we opt in this case for the simple uniform linear array ULA. We also compare the new estimator with other low-complexity estimators, first with Spread Root-MUSIC, after we extend its applicability to nonlinear antenna array structures, then, with a recently proposed two-stage algorithm. The new AS estimator is shown, via simulations, to exhibit lower estimation error for the mean AoA and AS estimation.

Keywordsangular spread mean angle of arrival angular distribution selection look-up table extended spread root-MUSIC AbbreviationsAoAangle of arrival

ASangular spread

AWGNadditive white Gaussian noise

COEcontrast of eigenvalues

COMETcovariance matching estimation techniques

CRBCramér Rao bound

ESPRITestimation of signal parameters via rotational invariance techniques

ESRMextended spread Root-MUSIC

LOSline-of-sight

LSleast square

LUTlook-up table

MLmaximum likelihood

MUSICmultiple signal classification

NLOSNon-LOS

NRMSEnormalized mean square error

SIMOsingle input-multiple output

SNRsignal-to-noise ratio

TLStotal least squares

ULAuniform linear array

WLSweighted least square

Electronic supplementary materialThe online version of this article doi:10.1186-1687-6180-2011-88 contains supplementary material, which is available to authorized users.

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Autor: Inès Bousnina - Alex Stéphenne - Sofiène Affes - Abdelaziz Samet

Fuente: https://link.springer.com/



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