Statistical Resolution Limit for Source Localization With Clutter Interference in a MIMO Radar Context

MIMO radar target localization and performance evaluation under SIRP clutter

“…(48) and (50), that: 8 Here we assume, without loss of generality, that Δ > 0. In both cases δ decreases as a increases, 9 viz., the ARL is positively correlated with a.…”

“…Δ. To cope with this difficulty, we first linearize the model [8][9][10]67], and rederive the FIM expression based on it which is feasible for analytical inversion. The ARL obtained from the linearized model approximates the exact ARL obtained from the original model.…”

“…By virtue of this waveform diversity, MIMO radar enables to significantly ameliorate the performance of radar systems, in terms of improved parameter identifiability, more flexible beam-pattern design, direct applicability of space-time adaptive processing techniques [2][3][4], etc. Abounding works have been dedicated to MIMO radar, either to investigate algorithms for target localization or to evaluate their performances in terms of lower bounds or resolvability [2][3][4][5][6][7][8][9][10][11][12][13][14]. In the larger part of the radar literature, the clutter is simply assumed to be a Gaussian stochastic process.…”

“…In the MIMO radar context, a few recent works, e.g., [8][9][10], have addressed this problem. The clutter in these works, however, is unexceptionally modeled as a Gaussian process.…”

“…To approach this question we resort, in a similar way to [8][9][10], to the concept of the resolution limit (RL), which provides the theoretical foothold of our work to characterize the resolvability of two targets. The RL is defined as the minimum distance w.r.t.…”