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20092026
most citedPhased-MIMO Radar: A Tradeoff Between Phased-Array and MIMO Radars

486 citations · 3.5k across the 73 of their papers we have counts for

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Showing 2014Show all

7 papers · 1 filter

cs.IT2014★ 2 cited

Performance Limits of Segmented Compressive Sampling: Correlated Samples versus Bits

Hao Fang, Sergiy A. Vorobyov, Hai Jiang

This paper gives performance limits of the segmented compressive sampling (CS) which collects correlated samples. It is shown that the effect of correlation among samples for the s…

cs.IT2014★ 8 cited

On the Optimal Precoding for MIMO Gaussian Wire-Tap Channels

Arash Khabbazibasmenj, Maksym A. Girnyk, Sergiy A. Vorobyov +2

We consider the problem of finding secrecy rate of a multiple-input multiple-output (MIMO) wire-tap channel. A transmitter, a legitimate receiver, and an eavesdropper are all equip…

cs.IT2014★ 39 cited

How Many Beamforming Vectors Generate the Same Beampattern?

Arash Khabbazibasmenj, Aboulnasr Hassanien, Sergiy A. Vorobyov

In this letter, we address the fundamental question of how many beamforming vectors exist which generate the same beampattern? The question is relevant to many fields such as, for…

cs.IT2014★ 2 cited

Simple Semi-Distributed Lifetime Maximizing Strategy via Power Allocation in Collaborative Beamforming for Wireless Sensor Networks

Mohammed F. A. Ahmed, Sergiy A. Vorobyov

Energy-efficient communication is an important issue in wireless sensor networks (WSNs) consisting of large number of energy-constrained sensor nodes. Indeed, sensor nodes have dif…

cs.IT2014★ 38 cited

Efficient Strategies for Single/Multi-Target Jamming on MIMO Gaussian Channels

Jie Gao, Sergiy A. Vorobyov, Hai Jiang

The problem of jamming on multiple-input multiple-output (MIMO) Gaussian channels is investigated in this paper. In the case of a single target legitimate signal, we show that the…

cs.IT2014

Reweighted l1-norm Penalized LMS for Sparse Channel Estimation and Its Analysis

Omid Taheri, Sergiy A. Vorobyov

A new reweighted l1-norm penalized least mean square (LMS) algorithm for sparse channel estimation is proposed and studied in this paper. Since standard LMS algorithm does not take…