Journal ArticleDOI
Adaptive Reduced-Rank Processing Based on Joint and Iterative Interpolation, Decimation, and Filtering
TLDR
An iterative least squares (LS) procedure to jointly optimize the interpolation, decimation and filtering tasks for reduced-rank adaptive filtering for interference suppression in code-division multiple-access (CDMA) systems is described.Abstract:
We present an adaptive reduced-rank signal processing technique for performing dimensionality reduction in general adaptive filtering problems. The proposed method is based on the concept of joint and iterative interpolation, decimation and filtering. We describe an iterative least squares (LS) procedure to jointly optimize the interpolation, decimation and filtering tasks for reduced-rank adaptive filtering. In order to design the decimation unit, we present the optimal decimation scheme and also propose low-complexity decimation structures. We then develop low-complexity least-mean squares (LMS) and recursive least squares (RLS) algorithms for the proposed scheme along with automatic rank and branch adaptation techniques. An analysis of the convergence properties and issues of the proposed algorithms is carried out and the key features of the optimization problem such as the existence of multiple solutions are discussed. We consider the application of the proposed algorithms to interference suppression in code-division multiple-access (CDMA) systems. Simulations results show that the proposed algorithms outperform the best known reduced-rank schemes with lower complexity.read more
Citations
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Journal ArticleDOI
Robust Adaptive Beamforming Based on Low-Rank and Cross-Correlation Techniques
Hang Ruan,Rodrigo C. de Lamare +1 more
TL;DR: This paper presents cost-effective low-rank techniques for designing robust adaptive beamforming algorithms based on the exploitation of the cross-correlation between the array observation data and the output of the beamformer, resulting in the proposed orthogonal Krylov subspace projection mismatch estimation (OKSPME) method.
Journal ArticleDOI
Iterative Detection and Decoding Algorithms using LDPC Codes for MIMO Systems in Block-Fading Channels
TL;DR: In this article, an iterative detection and decoding (IDD) algorithm with Low-Density Parity-Check (LDPC) codes for MIMO systems operating in block-fading and fast Rayleigh fading channels is proposed.
Journal ArticleDOI
Reduced-dimension robust capon beamforming using Krylov-subspace techniques
TL;DR: This work presents low-complexity, quickly converging robust adaptive beamformers, for beamforming large arrays in snapshot deficient scenarios, derived by combining data-dependent Krylov-subspace-based dimensionality reduction using the Powers-of-R or conjugate gradient techniques with ellipsoidal uncertainty set based robust Capon beamformer methods.
Journal ArticleDOI
Adaptive Reduced-Rank Receive Processing Based on Minimum Symbol-Error-Rate Criterion for Large-Scale Multiple-Antenna Systems
TL;DR: Simulation results are presented for time-varying wireless environments and show that the proposed JPDF minimum-SER receive processing strategy and algorithms achieve a superior performance than existing methods with a reduced computational complexity.
Journal ArticleDOI
Sparsity-Aware Adaptive Algorithms Based on Alternating Optimization and Shrinkage
TL;DR: Simulations for a system identification application show that the proposed scheme and algorithms outperform in convergence and tracking existing sparsity-aware algorithms.
References
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Book
Adaptive Filter Theory
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.