Journal Article10.1109/TVT.2007.898398
Reduced-Rank Adaptive Filtering Using Localized Processing for CDMA Systems
R.Y.M. Wong,Raviraj S. Adve +1 more
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TL;DR: A joint-domain adaptive algorithm, which processes spatial and temporal data within a localized region after transformation to a "beamspace", and the JDL-Z algorithm that combines JDL processing with zero forcing for multicell uplink CDMA systems.
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Abstract: An integrated beamforming (spatial processing) and multiuser-detection (temporal processing) scheme is an effective approach to increase system capacity but is also impractical due to the high associated computational costs. To overcome this problem, researchers have developed reduced-rank approaches. Adding to this class of algorithms, this paper introduces a joint-domain adaptive algorithm, which processes spatial and temporal data within a localized region after transformation to a "beamspace." This new joint-domain-localized (JDL) adaptive algorithm is developed for single-cell uplink code-division multiple-access (CDMA) systems with a receive-antenna array. Given a rank constraint on the JDL transformation, this paper develops the optimal choice of transformation matrix and justifies a simpler suboptimal choice. The JDL algorithm is shown to have relatively low computation load. We also introduce the JDL-Z algorithm that combines JDL processing with zero forcing for multicell uplink CDMA systems. At the cost of higher computational complexity, this new scheme provides better performance and a faster convergence rate than the JDL algorithm. However, the key contribution is a framework wherein adaptive processing can be followed by yet another stage of adaptive processing. Simulations are used to illustrate the efficacy of the two algorithms.
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Citations
Array signal processing
TL;DR: This book is very referred for you because it gives not only the experience but also lesson, that's not about who are reading this array signal processing book but about this book that will give wellness for all people from many societies.
733
Reduced-Rank STAP Algorithms using Joint Iterative Optimization of Filters
Rui Fa,R.C. de Lamare +1 more
TL;DR: Simulations for a clutter-plus-jamming suppression application show that the proposed STAP algorithm outperforms the state-of-the-art reduced-rank schemes in convergence and tracking at significantly lower complexity.
Adaptive Reduced-Rank Constrained Constant Modulus Algorithms Based on Joint Iterative Optimization of Filters for Beamforming
TL;DR: A robust reduced-rank scheme for adaptive beamforming based on joint iterative optimization (JIO) of adaptive filters based on the constant modulus (CM) criterion subject to different constraints is proposed.
Beam-space reduced-dimension space-time adaptive processing for airborne radar in sample starved heterogeneous environments
TL;DR: A method for selecting auxiliary channels in reduced-dimension space-time adaptive processing (STAP) for airborne multiple-input multiple-output radar can reduce the requirement of the sample support dramatically and the physical meaning of the maximum cross-correlation energy metric is discussed, and the fact that the local optimal output signal-to-interference-noise (SINR) performance can be assured by the maximumCross-Correlation energy metrics is proved theoretically.
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•Dissertation
Array Signal Processing Algorithms for Beamforming and Direction Finding
Lei Wang
- 29 Sep 2009
TL;DR: This thesis focuses on the development of array processing algorithms in the application of beamforming and direction of arrival (DOA) estimation, and presents CMV and CCM reduced-rank schemes based on joint iterative optimization (JIO) of adaptive filters.
References
Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations
L.C. Godara
- 01 Aug 1997
TL;DR: This paper provides a comprehensive and detailed treatment of different beam-forming schemes, adaptive algorithms to adjust the required weighting on antennas, direction-of-arrival estimation methods-including their performance comparison-and effects of errors on the performance of an array system, as well as schemes to alleviate them.
A multistage representation of the Wiener filter based on orthogonal projections
TL;DR: It is demonstrated that the cross-spectral metric is optimal in the sense that it maximizes mutual information between the observed and desired processes and is capable of outperforming the more complex eigendecomposition-based methods.
Array signal processing
TL;DR: This book is very referred for you because it gives not only the experience but also lesson, that's not about who are reading this array signal processing book but about this book that will give wellness for all people from many societies.
733
On adaptive spatial-temporal processing for airborne surveillance radar systems
Hong Wang,Lujing Cai +1 more
TL;DR: This work presents a new adaptive algorithm, called the Joint-Domain Localized Generalized Likelihood Ratio detection (JDL-GLR), which is data efficient i.e., with fast convergence to the joint-domain optimum, as well as computationally efficient, together with such desirable features as the embedded constant false-alarm rate (CFAR) and robustness in non-Gaussian interference.
505
Adaptive reduced-rank interference suppression based on the multistage Wiener filter
Michael L. Honig,J.S. Goldstein +1 more
TL;DR: A class of adaptive reduced-rank interference suppression algorithms is presented based on the multistage Wiener filter (MSWF), which can achieve near full-rank performance with a filter rank much less than the dimension of the signal subspace.