activity
20182023
most citedStudy of Coarse Quantization-Aware Block Diagonalization Algorithms for MIMO Systems with Low Resolution

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

cs.IT2023

Study of Multiuser Multiple-Antenna Wireless Communications Systems Based on Super-Resolution Arrays

S. Pinto, R. C. de Lamare

This work studies multiple-antenna wireless communication systems based on super-resolution arrays (SRAs). We consider the uplink of a multiple-antenna system in which users commun…

cs.IT2021

Study of Block Diagonalization Precoding and Power Allocation for Multiple-Antenna Systems with Coarsely Quantized Signals

S. Pinto, R. de Lamare

In this work, we present block diagonalization and power allocation algorithms for large-scale multiple-antenna systems with coarsely quantized signals. In particular, we develop C…

cs.IT20201 cited

Study of Coarse Quantization-Aware Block Diagonalization Algorithms for MIMO Systems with Low Resolution

S. B. Pinto, R. C. de Lamare

It is known that the estimated energy consumption of digital-to analog converters (DACs) is around 30\% of the energy consumed by analog-to-digital converters (ADCs) keeping fixed…

eess.SP2018

Direction Finding Based on Multi-Step Knowledge-Aided Iterative Conjugate Gradient Algorithms

S. Pinto, R. C. de Lamare

In this work, we present direction-of-arrival (DoA) estimation algorithms based on the Krylov subspace that effectively exploit prior knowledge of the signals that impinge on a sen…

eess.SP2018

Study of Multi-Step Knowledge-Aided Iterative Nested MUSIC for Direction Finding

S. Pinto, R. C. de Lamare

In this work, we propose a subspace-based algorithm for direction-of-arrival (DOA) estimation applied to the signals impinging on a two-level nested array, referred to as multi-ste…

eess.SP2018

Multi-Step Knowledge-Aided Iterative ESPRIT for Direction Finding

S. F. B. Pinto, R. C. de Lamare

In this work, we propose a subspace-based algorithm for DOA estimation which iteratively reduces the disturbance factors of the estimated data covariance matrix and incorporates pr…