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Deterministic performance bounds on the mean square error for near field source localization

Abstract : This correspondence investigates lower bounds on estimators mean square error applied to the passive near field source localization. More precisely, we focus on the so-called threshold prediction for which these bounds are known to be useful. We give closed form expressions of the McAulay-Seidman, the Hammersley-Chapman-Robbins, the McAulay-Hofstetter bounds and also, a recently proposed bound, the so-called Todros-Tabrikian bound, for the deterministic observation model (i.e., parameterized mean) and the stochastic observation model (i.e., parameterized covariance matrix). Finally, numerical simulations are given to assess the efficiency of these lower bounds to approximate the estimators mean square error and to predict the threshold effect.
Keywords : Barankin bounds
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Contributor : Alexandre Renaux Connect in order to contact the contributor
Submitted on : Sunday, March 15, 2020 - 2:25:23 PM
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Mohammed Nabil El Korso, Alexandre Renaux, Remy Boyer, Sylvie Marcos. Deterministic performance bounds on the mean square error for near field source localization. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2013, 61 (4), pp.871-877. ⟨10.1109/TSP.2012.2229990⟩. ⟨hal-00771449⟩



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