6 citations · 6 across the 8 of their papers we have counts for
9 papers
DoppDrive: Doppler-Driven Temporal Aggregation for Improved Radar Object Detection
Yuval Haitman, Oded Bialer
Radar-based object detection is essential for autonomous driving due to radar's long detection range. However, the sparsity of radar point clouds, especially at long range, poses c…
Enhancing LMMSE Performance with Modest Complexity Increase via Neural Network Equalizers
Vadim Rozenfeld, Dan Raphaeli, Oded Bialer
The BCJR algorithm is renowned for its optimal equalization, minimizing bit error rate (BER) over intersymbol interference (ISI) channels. However, its complexity grows exponential…
Source Localization of an Unknown Transmission in Dense Multipath Environments
Asaf Afriat, Dan Raphaeli, Oded Bialer
Accurately estimating the position of a wireless emitter in a multipath environment based on samples received at various base stations (in known locations) has been extensively exp…
RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation
Oded Bialer, Yuval Haitman
Object detection in radar imagery with neural networks shows great potential for improving autonomous driving. However, obtaining annotated datasets from real radar images, crucial…
BoostRad: Enhancing Object Detection by Boosting Radar Reflections
Yuval Haitman, Oded Bialer
Automotive radars have an important role in autonomous driving systems. The main challenge in automotive radar detection is the radar's wide point spread function (PSF) in the angu…
Performance Analysis of Automotive SAR With Radar Based Motion Estimation
Oded Bialer, Tom Tirer
Automotive synthetic aperture radar (SAR) can achieve a significant angular resolution enhancement for detecting static objects, which is essential for automated driving. Obtaining…
Direction of Arrival Estimation and Phase-Correction for Non-Coherent Sub-Arrays: A Convex Optimization Approach
Tom Tirer, Oded Bialer
Estimating the direction of arrival (DOA) of sources is an important problem in aerospace and vehicular communication, localization and radar. In this paper, we consider a challeng…
Direction of Arrival Estimation for Non-Coherent Sub-Arrays via Joint Sparse and Low-Rank Signal Recovery
Tom Tirer, Oded Bialer
Estimating the directions of arrival (DOAs) of multiple sources from a single snapshot obtained by a coherent antenna array is a well-known problem, which can be addressed by spars…
Performance Advantages of Deep Neural Networks for Angle of Arrival Estimation
Oded Bialer, Noa Garnett, Tom Tirer
The problem of estimating the number of sources and their angles of arrival from a single antenna array observation has been an active area of research in the signal processing com…