D.P. Palomar

chapter

Robust rank constrained kronecker covariance matrix estimation

A. Breloy, Y. Sun, P. Babu, G. Ginolhac, more

2016 50th Asilomar Conference on Signals, Systems and Computers > 810 - 814

2016 50th Asilomar Conference on Signals, Systems and Computers

In this paper, we consider the problem of robustly estimating a structured covariance matrix (CM). Specifically, we focus on CM structures that involve Kronecker products of low rank matrices, which often arise in the context of array processing (e.g. in MIMO-Radar, COLD array, and STAP). To tackle this problem, we derive a new Constrained Tyler's Estimators (CTE), which is defined as the minimizer...

chapter

Block majorization-minimization algorithms for low-rank clutter subspace estimation

A. Breloy, Y. Sun, P. Babu, D.P. Palomar

2016 24th European Signal Processing Conference (EUSIPCO) > 2186 - 2190

2016 24th European Signal Processing Conference (EUSIPCO)

This paper addresses the problem of the clutter subspace projector estimation in the context of a disturbance composed of a low rank heterogeneous (Compound Gaussian) clutter and white Gaussian noise. We derive two algorithms based on the block majorization-minimization framework to reach the maximum likelihood estimator of the considered model. These algorithms are shown to be computationally faster...

chapter

A robust signal subspace estimator

A. Breloy, Y. Sun, P. Babu, G. Ginolhac, more

2016 IEEE Statistical Signal Processing Workshop (SSP) > 1 - 4

2016 IEEE Statistical Signal Processing Workshop (SSP)

An original estimator of the orthogonal projector onto the signal subspace is proposed. This estimator is derived as the maximum likelihood estimator for a model of sources plus orthogonal outliers, both with varying power (modeled by Compound Gaussians process), embedded in a white Gaussian noise. Validity and interest — in terms of performance and robustness — of this estimator is illustrated through...

article

Rank-Constrained Separable Semidefinite Programming With Applications to Optimal Beamforming

Yongwei Huang, D.P. Palomar

IEEE Transactions on Signal Processing > 2010 > 58 > 2 > 664 - 678

Consider a downlink communication system where multiantenna base stations transmit independent data streams to decentralized single-antenna users over a common frequency band. The goal of the base stations is to jointly adjust the beamforming vectors to minimize the transmission powers while ensuring the signal-to-interference-noise ratio requirement of each user within the system. At the same time,...

article

Code Design for Radar STAP via Optimization Theory

A. De Maio, S. De Nicola, Yongwei Huang, D.P. Palomar, more

IEEE Transactions on Signal Processing > 2010 > 58 > 2 > 679 - 694

In this paper, we deal with the problem of constrained code optimization for radar space-time adaptive processing (STAP) in the presence of colored Gaussian disturbance. At the design stage, we devise a code design algorithm complying with the following optimality criterion: maximization of the detection performance under a control on the regions of achievable values for the temporal and spatial Doppler...

article

MIMO Cognitive Radio: A Game Theoretical Approach

G. Scutari, D.P. Palomar

IEEE Transactions on Signal Processing > 2010 > 58 > 2 > 761 - 780

The concept of cognitive radio (CR) has recently received great attention from the research community as a promising paradigm to achieve efficient use of the frequency resource by allowing the coexistence of licensed (primary) and unlicensed (secondary) users in the same bandwidth. In this paper we propose and analyze a totally decentralized approach, based on game theory, to design cognitive MIMO...

chapter

On optimal precoding in linear vector Gaussian channels with arbitrary input distribution

M. Payaro, D.P. Palomar

2009 IEEE International Symposium on Information Theory > 1085 - 1089

2009 IEEE International Symposium on Information Theory - ISIT

The design of the precoder the maximizes the mutual information in linear vector Gaussian channels with an arbitrary input distribution is studied. Precisely, the precoder optimal left singular vectors and singular values are derived. The characterization of the right singular vectors is left, in general, as an open problem whose computational complexity is then studied in three cases: Gaussian signaling,...

chapter

Rank-constrained separable semidefinite programming for optimal beamforming design

Yongwei Huang, D.P. Palomar

2009 IEEE International Symposium on Information Theory > 2432 - 2436

2009 IEEE International Symposium on Information Theory - ISIT

Consider a downlink communication system where multi-antenna base stations transmit independent data streams to decentralized single-antenna users over a common frequency band. The goal of the base stations is to jointly adjust the beamforming vectors so as to minimize the transmission powers while ensuring the signal-to-interference-noise ratio (SINR) requirement of individual users within the system,...

chapter

Competitive optimization of cognitive radio MIMO systems via game theory

G. Scutari, D.P. Palomar, S. Barbarossa

2009 International Conference on Game Theory for Networks > 452 - 461

2009 International Conference on Game Theory for Networks

The concept of cognitive radio (CR) has recently received great attention from the researchers' community as a promising paradigm to achieve efficient use of the frequency resource by allowing the coexistence of licensed (primary) and unlicensed (secondary) users in the same bandwidth. In this paper, we propose a distributed approach based on game theory to design cognitive MIMO transceiver in hierarchical...

chapter

Optimal Bit Loading for MIMO Systems with Decision Feedback Detection

S. Bergman, D.P. Palomar, B. Ottersten

VTC Spring 2009 - IEEE 69th Vehicular Technology Conference > 1 - 5

2009 IEEE 69th Vehicular Technology Conference

This paper considers the joint design of bit loading, precoding and receive filters for a multiple-input multiple-output (MIMO) digital communication system employing decision feedback (DF) detection at the receiver. Both the transmitter as well as the receiver are assumed to know the channel matrix perfectly. It is well known that, for linear MIMO transceivers, a diagonal transmission (i.e., orthogonalization...

chapter

Maximin robust design for MIMO communication systems against imperfect CSIT

Jiaheng Wang, D.P. Palomar

2009 IEEE International Conference on Acoustics, Speech and Signal Processing > 2397 - 2400

ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing

This paper considers robust transmit strategies, against the imperfectness of CSIT, for MIMO communication systems. Following a deterministic model that assumes the actual channel inside an ellipsoid centered at a nominal channel, we maximize the worst-case received SNR. It is shown that, for a general class of power constraints, the resulting maximin problem can be equivalently transformed into a...

article

Hessian and Concavity of Mutual Information, Differential Entropy, and Entropy Power in Linear Vector Gaussian Channels

M. Payaro, D.P. Palomar

IEEE Transactions on Information Theory > 2009 > 55 > 8 > 3613 - 3628

Within the framework of linear vector Gaussian channels with arbitrary signaling, the Jacobian of the minimum mean square error and Fisher information matrices with respect to arbitrary parameters of the system are calculated in this paper. Capitalizing on prior research where the minimum mean square error and Fisher information matrices were linked to information-theoretic quantities through differentiation,...

article

Joint Bit Allocation and Precoding for MIMO Systems With Decision Feedback Detection

S. Bergman, D.P. Palomar, B. Ottersten

IEEE Transactions on Signal Processing > 2009 > 57 > 11 > 4509 - 4521

This paper considers the joint design of bit loading, precoding and receive filters for a multiple-input multiple-output (MIMO) digital communication system employing decision feedback (DF) detection at the receiver. Both the transmitter as well as the receiver are assumed to know the channel matrix perfectly. It is well known that, for linear MIMO transceivers, a diagonal transmission (i.e., orthogonalization...

article

Worst-Case Robust MIMO Transmission With Imperfect Channel Knowledge

Jiaheng Wang, D.P. Palomar

IEEE Transactions on Signal Processing > 2009 > 57 > 8 > 3086 - 3100

In this paper, we consider robust transmit strategies, against the imperfectness of the channel state information at the transmitter (CSIT), for multi-input multi-output (MIMO) communication systems. Following a worst-case deterministic model, the actual channel is assumed to be inside an ellipsoid centered at a nominal channel. The objective is to maximize the worst-case received signal-to-noise...

article

The MIMO Iterative Waterfilling Algorithm

G. Scutari, D.P. Palomar, S. Barbarossa

IEEE Transactions on Signal Processing > 2009 > 57 > 5 > 1917 - 1935

This paper considers the noncooperative maximization of mutual information in the vector Gaussian interference channel in a fully distributed fashion via game theory. This problem has been widely studied in a number of works during the past decade for frequency-selective channels, and recently for the more general multiple-input multiple-output (MIMO) case, for which the state-of-the art results are...

article

Ordered Eigenvalues of a General Class of Hermitian Random Matrices With Application to the Performance Analysis of MIMO Systems

L.G. Ordoez, D.P. Palomar, J.R. Fonollosa

IEEE Transactions on Signal Processing > 2009 > 57 > 2 > 672 - 689

In this paper, we present a general formulation that unifies the probabilistic characterization of Hermitian random matrices with a specific structure. Based on a general expression for the joint pdf of the ordered eigenvalues, we obtain i) the joint cdf; ii) the marginal cdfs; and iii) the marginal pdfs of the ordered eigenvalues, where ii) and iii) follow as simple particularizations of i). Our...

article

Energy–Robustness Tradeoff in Cellular Network Power Control

Chee Wei Tan, D.P. Palomar, Mung Chiang

IEEE/ACM Transactions on Networking > 2009 > 17 > 3 > 912 - 925

In the seminal paper by Foschini and Miljanic in 1993, a distributed power control algorithm was developed to meet SIR targets with minimal powers in cellular network uplinks. Since the SIR on an active link may dip below the SIR target during the transient after a new user enters the cell, Bambos proposed an active link protection algorithm to provide robustness, at the expense of higher energy consumption...

article

Minimum BER Linear MIMO Transceivers With Adaptive Number of Substreams

L.G. Ordonez, D.P. Palomar, A. Pages-Zamora, J.R. Fonollosa

IEEE Transactions on Signal Processing > 2009 > 57 > 6 > 2336 - 2353

MIMO systems with perfect channel state information at both sides of the link can adapt to the instantaneous channel conditions to optimize the spectral efficiency and/or the reliability of the communication. A low-complexity approach is the use of linear MIMO transceivers which are composed of a linear precoder at the transmitter and a linear equalizer at the receiver. The design of linear transceivers...

chapter

Finding patterned complex-valued matrix derivatives by using manifolds

A. Hjorungnes, D.P. Palomar

2008 First International Symposium on Applied Sciences on Biomedical and Communication Technologies > 1 - 5

2008 First International Symposium on Applied Sciences on Biomedical and Communication Technologies (ISABEL)

Often in engineering, the design requirements are to find a complex-valued matrix which minimizes or maximizes a real-valued objective function under the constraint that the matrix belongs to a set of matrices with pattern. Recently, a systematic method was published for finding the derivative of complex-valued matrix functions which depend on matrix arguments that contain patterns. Central in this...

chapter

Image deblocking using convex optimization

Liwei Guo, O.C. Au, Mengyao Ma, Xiaopeng Fan, more

2008 15th IEEE International Conference on Image Processing > 3148 - 3151

2008 15th IEEE International Conference on Image Processing - ICIP 2008

Images encoded at low-bit rate may suffer from blocking artifacts, which can dramatically degrade the visual quality. In this paper, a novel approach to image deblocking is presented. Based on the analysis of image coding process and the property of natural images, an objective function and a set of constraint functions are proposed, and image deblocking is formulated as a convex optimization problem...

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Search results for: D.P. Palomar

Robust rank constrained kronecker covariance matrix estimation

Block majorization-minimization algorithms for low-rank clutter subspace estimation

A robust signal subspace estimator

Rank-Constrained Separable Semidefinite Programming With Applications to Optimal Beamforming

Code Design for Radar STAP via Optimization Theory

MIMO Cognitive Radio: A Game Theoretical Approach

On optimal precoding in linear vector Gaussian channels with arbitrary input distribution

Rank-constrained separable semidefinite programming for optimal beamforming design

Competitive optimization of cognitive radio MIMO systems via game theory

Optimal Bit Loading for MIMO Systems with Decision Feedback Detection

Maximin robust design for MIMO communication systems against imperfect CSIT

Hessian and Concavity of Mutual Information, Differential Entropy, and Entropy Power in Linear Vector Gaussian Channels

Joint Bit Allocation and Precoding for MIMO Systems With Decision Feedback Detection

Worst-Case Robust MIMO Transmission With Imperfect Channel Knowledge

The MIMO Iterative Waterfilling Algorithm

Ordered Eigenvalues of a General Class of Hermitian Random Matrices With Application to the Performance Analysis of MIMO Systems

Energy–Robustness Tradeoff in Cellular Network Power Control

Minimum BER Linear MIMO Transceivers With Adaptive Number of Substreams

Finding patterned complex-valued matrix derivatives by using manifolds

Image deblocking using convex optimization

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