On the resolution probability of MUSIC in presence of modelling errors
Journal article, 2008

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.

Performances

DOA estimation

Modeling errors

Author

A. Ferreol

Laboratoire des Systemes et Applications des Technologies de l'Information et de l'Energie

Thales Communications & Security Sas

P. Larzabal

Laboratoire des Systemes et Applications des Technologies de l'Information et de l'Energie

Mats Viberg

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

IEEE Transactions on Signal Processing

1053-587X (ISSN)

Vol. 56 5 1945-1953

Subject Categories

Signal Processing

DOI

10.1109/TSP.2007.911482

More information

Latest update

9/6/2018 1