70 citations · 132 across the 13 of their papers we have counts for
13 papers
Revisiting the Misspecified Cramér-Rao Bound
Malaak Khatib, Nadav Harel, Joseph Tabrikian +1
Estimation under model misspecification arises in many signal processing problems, where the assumed observation model deviates from the true data-generating mechanism due to error…
Tangential Velocity Estimation Using Near-Field Automotive Radar Model
Michael Shifrin, Joseph Tabrikian, Igal Bilik
This work investigates the problem of tangential velocity estimation in automotive radar systems, addressing the limitations of conventionally considered models. Conventional autom…
Optimal Real-Weighted Beamforming With Application to Linear and Spherical Arrays
V. Tourbabin, M. Agmon, B. Rafaely +1
One of the uses of sensor arrays is for spatial filtering or beamforming. Current digital signal processing methods facilitate complex-weighted beamforming, providing flexibility i…
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…
Neural Network-Based Multi-Target Detection within Correlated Heavy-Tailed Clutter
Stefan Feintuch, Haim H. Permuter, Igal Bilik +1
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. Conventio…
Cramer-Rao Bound for Constrained Parameter Estimation Using Lehmann-Unbiasedness
Eyal Nitzan, Tirza Routtenberg, Joseph Tabrikian
The constrained Cramer-Rao bound (CCRB) is a lower bound on the mean-squared-error (MSE) of estimators that satisfy some unbiasedness conditions. Although the CCRB unbiasedness con…
Performance Analysis for Channel Estimation with 1-bit ADC and Unknown Quantization Threshold
Manuel S. Stein, Shahar Bar, Josef A. Nossek +1
In this work, the problem of signal parameter estimation from measurements acquired by a low-complexity analog-to-digital converter (ADC) with -bit output resolution and an unkn…
Performance Analysis for Pilot-based 1-bit Channel Estimation with Unknown Quantization Threshold
Manuel Stein, Shahar Bar, Josef A. Nossek +1
Parameter estimation using quantized observations is of importance in many practical applications. Under a symmetric -bit setup, consisting of a zero-threshold hard-limiter, it…
General Classes of Lower Bounds on the Probability of Error in Multiple Hypothesis Testing
Tirza Routtenberg, Joseph Tabrikian
In this paper, two new classes of lower bounds on the probability of error for -ary hypothesis testing are proposed. Computation of the minimum probability of error which is att…
Classes of lower bounds on outage error probability and MSE in Bayesian parameter estimation
Routtenberg Tirza, Joseph Tabrikian
In this paper, new classes of lower bounds on the outage error probability and on the mean-square-error (MSE) in Bayesian parameter estimation are proposed. The minima of the h-out…