Search Results for author: Joseph Tabrikian

Found 4 papers, 0 papers with code

MCRB on DOA Estimation for Automotive MIMO Radar in the Presence of Multipath

no code implementations11 May 2023 Moshe Levy-Israel, Igal Bilik, Joseph Tabrikian

Presence of multipath leads to misspecification in the radar data model, resulting in estimation performance degradation, which cannot be reliably predicted by conventional performance bounds.

Autonomous Driving

Barankin-Type Bound for Constrained Parameter Estimation

no code implementations17 Apr 2023 Eyal Nitzan, Tirza Routtenberg, Joseph Tabrikian

The constrained Barankin-type bound (CBTB) is a nonlocal mean-squared-error (MSE) lower bound for constrained parameter estimation that does not require differentiability of the likelihood function.

Direction of Arrival Estimation Vocal Bursts Type Prediction

Neural Network-Based DOA Estimation in the Presence of Non-Gaussian Interference

no code implementations7 Jan 2023 Stefan Feintuch, Joseph Tabrikian, Igal Bilik, Haim H. Permuter

Therefore, this work proposes a neural network (NN) based DOA estimation approach for spatial spectrum estimation in multi-source scenarios with a-priori unknown number of sources in the presence of non-Gaussian spatially-colored interference.

Neural Network-Based Multi-Target Detection within Correlated Heavy-Tailed Clutter

no code implementations21 Oct 2022 Stefan Feintuch, Haim H. Permuter, Igal Bilik, Joseph Tabrikian

This work addresses the problem of range-Doppler multiple target detection in a radar system in the presence of slow-time correlated and heavy-tailed distributed clutter.

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