70 citations · 132 across the 13 of their papers we have counts for
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Asymptotically Tight Bayesian Cramér-Rao Bound
Ori Aharon, Joseph Tabrikian
Performance bounds for parameter estimation play a crucial role in statistical signal processing theory and applications. Two widely recognized bounds are the Cramér-Rao bound (CRB…
MCRB on DOA Estimation for Automotive MIMO Radar in the Presence of Multipath
Moshe Levy-Israel, Igal Bilik, Joseph Tabrikian
Autonomous driving and advanced active safety features require accurate high-resolution sensing capabilities. Automotive radars are the key component of the vehicle sensing suit. H…
Barankin-Type Bound for Constrained Parameter Estimation
Eyal Nitzan, Tirza Routtenberg, Joseph Tabrikian
In constrained parameter estimation, the classical constrained Cramer-Rao bound (CCRB) and the recent Lehmann-unbiased CCRB (LU-CCRB) are lower bounds on the performance of mean-un…
Neural Network-Based DOA Estimation in the Presence of Non-Gaussian Interference
Stefan Feintuch, Joseph Tabrikian, Igal Bilik +1
This work addresses the problem of direction-of-arrival (DOA) estimation in the presence of non-Gaussian, heavy-tailed, and spatially-colored interference. Conventionally, the inte…