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Multiple Feedback Successive Interference Cancellation Detection for Multiuser MIMO Systems
TLDR
In this paper, a low-complexity multiple feedback successive interference cancellation (MF-SIC) strategy is proposed for the uplink of multiuser multiple-input multiple-output (MU-MIMO) systems. Expand
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Sparsity-aware affine projection adaptive algorithms for system identification
In this paper, we propose adaptive algorithms for system identification of sparse systems. We introduce a L1-norm penalty to improve the performance of affine projection algorithms. This strategyExpand
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Large-Scale Antenna Systems With UL/DL Hardware Mismatch: Achievable Rates Analysis and Calibration
TLDR
This paper studies the impact of hardware mismatch (11M) between the base station (BS) and the user equipment (UE) in the downlink (DL) of large-scale antenna systems. Expand
  • 141
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Robust Adaptive Beamforming Using a Low-Complexity Shrinkage-Based Mismatch Estimation Algorithm
  • H. Ruan, R. C. Lamare
  • Mathematics, Computer Science
  • IEEE Signal Processing Letters
  • 10 November 2013
TLDR
We propose a low-complexity robust adaptive beamforming (RAB) technique which estimates the steering vector using a Low-Complexity Shrinkage-Based Mismatch Estimation (LOCSME) algorithm. Expand
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Low-Complexity Lattice Reduction-Aided Regularized Block Diagonalization for MU-MIMO Systems
TLDR
A low-complexity lattice reduction-aided RBD for MU-MIMO that achieves the maximum diversity order at high data rates. Expand
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Minimum Mean-Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems
  • R. C. Lamare, R. Neto
  • Computer Science, Mathematics
  • IEEE Transactions on Communications
  • 20 May 2008
TLDR
In this paper we propose minimum mean squared error (MMSE) iterative successive parallel arbitrated decision feedback (DF) receivers for direct sequence code division multiple access (DS-CDMA) systems. Expand
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Generalized Design of Low-Complexity Block Diagonalization Type Precoding Algorithms for Multiuser MIMO Systems
TLDR
We propose a low-complexity precoding algorithm based on a common channel inversion technique, QR decompositions, lattice reductions to decouple the MU-MIMO channel into equivalent SU- MIMO channels. Expand
  • 133
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Adaptive reduced-rank LCMV beamforming algorithms based on joint iterative optimization of filters: Design and analysis
TLDR
This paper presents reduced-rank linearly constrained minimum variance (LCMV) beamforming algorithms based on joint iterative optimization of filters. Expand
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Reduced-Rank Adaptive Filtering Based on Joint Iterative Optimization of Adaptive Filters
TLDR
This letter proposes a novel adaptive reduced-rank filtering scheme based on joint iterative optimization of adaptive filters and low-complexity normalized least-mean squares adaptive algorithms for its efficient implementation. Expand
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Set-Membership Adaptive Algorithms Based on Time-Varying Error Bounds for CDMA Interference Suppression
  • R. C. Lamare, P. Diniz
  • Mathematics, Computer Science
  • IEEE Transactions on Vehicular Technology
  • 1 February 2009
TLDR
This paper presents set-membership (SM) adaptive algorithms based on time-varying error bounds for code-division multiple-access (CDMA) interference suppression. Expand
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