  Passive source localization is a well known inverse problem in which we
convert the observed measurements into information about the direction of
arrivals. In this paper we focus on the optimal resolution of such problem.
More precisely, we propose in this contribution to derive and analyze the
Angular Resolution Limit (ARL) for the scenario of mixed Near-Field (NF) and
Far-Field (FF) Sources. This scenario is relevant to some realistic situations.
We base our analysis on the Smith's equation which involves the Cram\'er-Rao
Bound (CRB). This equation provides the theoretical ARL which is independent of
a specific estimator. Our methodology is the following: first, we derive a
closed-form expression of the CRB for the considered problem. Using these
expressions, we can rewrite the Smith's equation as a 4-th order polynomial by
assuming a small separation of the sources. Finally, we derive in closed-form
the analytic ARL under or not the assumption of low noise variance. The
obtained expression is compact and can provide useful qualitative informations
on the behavior of the ARL.
