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20162025
most citedSNR Estimation in Linear Systems with Gaussian Matrices

18 citations · 46 across the 21 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

eess.SP2022

Misspecified Cramér-Rao Bound of RIS-aided Localization under Geometry Mismatch

Pinjun Zheng, Hui Chen, Tarig Ballal +2

In 5G/6G wireless systems, reconfigurable intelligent surfaces (RIS) can play a role as a passive anchor to enable and enhance localization in various scenarios. However, most exis…

eess.SP2022★ 1 cited

Localization Coverage Analysis of THz Communication Systems with a 3D Array

Pinjun Zheng, Tarig Ballal, Hui Chen +2

This paper considers the problem of estimating the position and orientation of a user equipped with a three-dimensional (3D) array receiving downlink far-field THz signals from mul…

eess.SP2022

Antenna Selection in Switch-Based MIMO Arrays via DOA threshold region Approximation

Hui Chen, Tarig Ballal, Mohammed E. Eltayeb +1

Direction-of-arrival (DOA) information is vital for multiple-input-multiple-output (MIMO) systems to complete localization and beamforming tasks. Switched antenna arrays have recen…

eess.SP2022

Instantaneous GNSS Ambiguity Resolution and Attitude Determination via Riemannian Manifold Optimization

Xing Liu, Tarig Ballal, Mohanad Ahmed +1

We present an ambiguity resolution method for Global Navigation Satellite System (GNSS)-based attitude determination. A GNSS attitude model with nonlinear constraints is used to ri…

eess.SP2022★ 8 cited

Sharp Analysis of RLS-based Digital Precoder with Limited PAPR in Massive MIMO

Xiuxiu Ma, Abla Kammoun, Ayed M. Alrashdi +3

This paper focuses on the performance analysis of a class of limited peak-to-average power ratio (PAPR) precoders for downlink multi-user massive multiple-input multiple-output (MI…

eess.SP2022

Portfolio Optimization Using a Consistent Vector-Based MSE Estimation Approach

Maaz Mahadi, Tarig Ballal, Muhammad Moinuddin +2

This paper is concerned with optimizing the global minimum-variance portfolio's (GMVP) weights in high-dimensional settings where both observation and population dimensions grow at…