Statistical Resolution Limit for source localization in a MIMO context

In this paper, we derive the Multidimensional Statistical Resolution Limit (MSRL) to resolve two closely spaced targets using a widely spaced MIMO radar. Toward this end, we perform a hypothesis test formulation using the Generalized Likelihood Ratio Test (GLRT). More precisely, we link the MSRL to the minimum Signal-to-Noise Ratio (SNR) required to resolve two closely spaced targets, for a given probability of false alarm and for a given probability of detection. Finally, theoretical and numerical analysis of the MSRL are given for several scenarios (known/unknown parameters of interest and known/unknown noise variance) including lacunar arrays.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Mohammed Nabil El Korso, Rémy Boyer, Alexandre Renaux, Sylvie Marcos
• Keywords: Generalized Likelihood Ratio, Hypothesis Test Formulation, ICASSP 2011, Multidimensional Statistical Resolution, Signal Processing