This paper proposes a two-step identification procedure for the direction-of-arrival estimation problem in the presence of nonuniform white noise. The first step consists in estimating the unknown sensor noise variances by exploiting the properties of the Frisch scheme. Once that the noise covariance matrix has been identified, the angles of arrival are computed by using the classical ESPRIT algorithm. The effectiveness of the whole procedure is tested by means of Monte Carlo simulations.
CITATION STYLE
Diversi, R., Guidorzi, R., & Soverini, U. (2014). Direction–of–arrival estimation in nonuniform noise fields: A frisch scheme approach. In Advances in Intelligent Systems and Computing (Vol. 240, pp. 765–774). Springer Verlag. https://doi.org/10.1007/978-3-319-01857-7_73
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