R
Rodrigo C. de Lamare
Researcher at Pontifical Catholic University of Rio de Janeiro
Publications - 572
Citations - 6823
Rodrigo C. de Lamare is an academic researcher from Pontifical Catholic University of Rio de Janeiro. The author has contributed to research in topics: MIMO & Computer science. The author has an hindex of 41, co-authored 519 publications receiving 5523 citations. Previous affiliations of Rodrigo C. de Lamare include University of York & National University of Defense Technology.
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Bidirectional MMSE Algorithms for Interference Mitigation in CDMA Systems over Fast Fading Channels.
TL;DR: This paper presents adaptive bidirectional minimum mean-square error (MMSE) parameter estimation algorithms for fast-fading channels, devised along with adaptive mixing parameters that adjust to the time-varying channel correlation properties.
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Linear precoding based on switched interleaving and limited feedback for interference suppression in downlink multi-antenna MC-CDMA systems
TL;DR: A new hybrid transmit processing technique based on switched interleaving and chip-wise precoding is proposed to suppress the multiuser interference for downlink multi-carrier code division multiple access (MC-CDMA) multiple antenna systems.
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Block Diagonalization Precoding and Power Allocation for Multiple-Antenna Systems With Coarsely Quantized Signals
TL;DR: In this article, the authors presented block diagonalization and power allocation algorithms for large-scale multiple-antenna systems with coarsely quantized signals, which employ the Bussgang decomposition to mitigate the effects of low-resolution signals and interference.
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Study of Robust Adaptive Beamforming with Covariance Matrix Reconstruction Based on Power Spectral Estimation and Uncertainty Region
TL;DR: In this article , a robust adaptive beamforming technique is proposed for uniform linear arrays, which is based on the power spectral estimation and uncertainty region (PSEUR) of the interference plus noise (IPN) components.
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Joint maximum sum-rate receiver design and power allocation strategy for multihop wireless sensor networks
TL;DR: This paper derives constrained maximum sum-rate (MSR) expressions along with an algorithm to compute the linear receiver and the power allocation parameters with the optimal complex amplification coefficients for each relay node in a multihop wireless sensor network.