Cramér-Rao bounds for the localization of anisotropic sources

Etienne Monier (1, 2) , Gilles Chardon (1)

1 L2S - Laboratoire des signaux et systèmes
2 IRIT-SC - Signal et Communications

In the most general case, source localization has to take into account the radiation pattern of the sources of interest. This is particularly important when the sensors surround the sources, and the sources are anisotropic, as is the case in several applications (EEG, speech, musical instruments, etc.). Cramér-Rao bounds for the joint estimation of the position of a source and its radiation pattern are computed for simple cases of sensor array geometries and source models, showing that a good match between the source and the model improves the Cramér-Rao bounds. It is also shown that, in general, using a model more complex than the source makes the Fisher information matrix singular. These results are supported by numerical simulations and physical interpretations.

Mots clés: Source localization; Cramér-Rao bounds; Multipoles; Acoustic imaging

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]; Traitement du signal et de l'image [eess.SP]; Traitement des images [eess.IV]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Intelligence artificielle [cs.AI]

Etienne Monier, Gilles Chardon. Cramér-Rao bounds for the localization of anisotropic sources. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. pp. 3281-3285, ⟨10.1109/icassp.2017.7952763⟩. ⟨hal-01782567⟩