Fast communication: estimation of nominal directions of arrival and angular spreads of distributed sources

Authors:
Monika Agrawal;Petre Stoica;Olivier Besson;Per Åhgren
Affiliations:
Department of Systems and Control, Information Technology, Uppsala University, P.O. Box 27, SE-75103 Uppsala, Sweden;Department of Systems and Control, Information Technology, Uppsala University, P.O. Box 27, SE-75103 Uppsala, Sweden;Department of Avionics and Systems, 1 Place Emile Blouin, 31056 Toulouse, France;Department of Systems and Control, Information Technology, Uppsala University, P.O. Box 27, SE-75103 Uppsala, Sweden
Venue:
Signal Processing - Special section: Hans Wilhelm Schüßler celebrates his 75th birthday
Year:
2003

Citing 8
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Abstract

In this paper, we consider the problem of estimating the nominal directions of arrival (DOA) and angular spreads of multiple distributed sources. Distributed sources arise due to the presence of local scattering and impairment in wave propagation. This problem is encountered in wireless communications due to the presence of scatterers in the vicinity of the mobile or when the signals propagate through a random inhomogeneous medium. Assuming a uniform linear array (ULA), a computationally efficient estimator based on auto-regressive (AR) modeling of the lags of the covariance function is derived. The estimates of nominal DOAs and angular spreads are obtained simply by rooting a polynomial. Numerical simulations are carried out to study the performance of the suggested estimator.