activity
20092021
most citedJoint Transmit Beamforming for Multiuser MIMO Communication and MIMO Radar

1k citations · 1.6k across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2021★ 57 cited

Phase Transitions in Frequency Agile Radar Using Compressed Sensing

Yuhan Li, Tianyao Huang, Xingyu Xu +2

FAR has improved anti-jamming performance over traditional pulse-Doppler radars under complex electromagnetic circumstances. To reconstruct the range-Doppler information in FAR, ma…

eess.SP2020

Massive MIMO As an Extreme Learning Machine

Dawei Gao, Qinghua Guo, Yonina C. Eldar

This work shows that a massive multiple-input multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs) forms a natural extreme learning machine (ELM).…

eess.SP2019★ 1k cited

Joint Transmit Beamforming for Multiuser MIMO Communication and MIMO Radar

Xiang Liu, Tianyao Huang, Nir Shlezinger +3

Future wireless communication systems are expected to explore spectral bands typically used by radar systems, in order to overcome spectrum congestion of traditional communication…

cs.IT2019★ 6 cited

Complex Trainable ISTA for Linear and Nonlinear Inverse Problems

Satoshi Takabe, Tadashi Wadayama, Yonina C. Eldar

Complex-field signal recovery problems from noisy linear/nonlinear measurements appear in many areas of signal processing and wireless communications. In this paper, we propose a t…

cs.IT2011

GPS Signal Acquisition via Compressive Multichannel Sampling

Xiao Li, Andrea Rueetschi, Yonina C. Eldar +1

In this paper, we propose an efficient acquisition scheme for GPS receivers. It is shown that GPS signals can be effectively sampled and detected using a bank of randomized correla…

stat.ME2009★ 570 cited

Shrinkage Algorithms for MMSE Covariance Estimation

Yilun Chen, Ami Wiesel, Yonina C. Eldar +1

We address covariance estimation in the sense of minimum mean-squared error (MMSE) for Gaussian samples. Specifically, we consider shrinkage methods which are suitable for high dim…