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On the resolution probability of MUSIC in presence of modelling errors

A. Ferrol ; P. Larzabal ; Mats Viberg (Institutionen för signaler och system, Signalbehandling)
Signal Processing, IEEE Transactions on, May 2008 (see also Acoustics, Speech, and Signal Processing, IEEE Transactions on) Vol. 56 (2008), 5, p. 1945-1953.
[Artikel, refereegranskad vetenskaplig]

The problem of resolving closely spaced signal sources using an antenna array remains a difficult one, although several estimation methods are available in the literature. When the array correlation matrix is known, the resolution capability of subspace algorithms is infinitely high. However, in the presence of modeling errors the resolution deteriorates, even for a known correlation matrix. In this paper, we analyze the MUSIC method, by way of three different definitions of the resolution. Assuming Gaussian circular random modeling errors, we determine the corresponding expressions of the probability of source resolution versus the model mismatch. A first series of simulations validates the mathematical expression of the three resolution probabilities. A second series of simulations is used to select among them the tightest one to the empirical one. The results are useful, e.g., for determining the necessary antenna calibration accuracy to achieve a target performance. © 2008 IEEE.

Nyckelord: DOA estimation; Modeling errors; Performances

Accepted for publication

Denna post skapades 2008-02-14. Senast ändrad 2016-07-26.
CPL Pubid: 68252


Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling (1900-2017)



Chalmers infrastruktur