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检索条件"任意字段=2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing"

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2007 2nd ieee international workshop on computational advances in multi-sensor adaptive processing, CAMPSAP

2007 2nd IEEE International Workshop on Computational Advanc...

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2007 2nd ieee international workshop on computational advances in multi-sensor adaptive processing, CAMPSAP

ISBN: (纸本)9781424417148

The proceedings contain 77 papers. The topics discussed include: semi-supervised life-long learning with application to sensing;hybrid adaptive receiver processing for multistatic radar;adaptive sensing of dynamic target state in heavy sea clutter;multi-channel parametric estimator fast block matrix inverses;particle filtering-based target tracking in binary sensor networks using adaptive thresholds;on adaptive sensing of complex communication channels;a Bayesian estimation bound based on the optimal bias function;sparse Bayesian estimation of superimposed signal parameters;a lower bound for sequential estimators;experimental studies on direction finding via blind beamforming;reduction of spatial sampling requirement in sound-based synthesis;fast low-rank approximation for covariance matrices;a collaborative training algorithm for multi-sensor adaptive processing;and compress-and-forward relaying over parallel Gaussian channels.

关键词： Target tracking

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True Cramer-Rao bound for estimating synchronization parameters from a linearly modulated bandpass signal with unknown data symbols

True Cramer-Rao bound for estimating synchronization paramet...

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2nd ieee international workshop on computational advances in multi-sensor adaptive processing

作者： Noels, N. Moeneclaey, M. Univ Ghent DIGCOM Res Grp TELIN Dept B-9000 Ghent Belgium

ISBN: (纸本)9781424417131

This paper considers the Cramer-Rao bound (CRB) for estimating the synchronization parameters from a linearly modulated waveform with unknown data symbols. The key idea is to reduce the computational complexity associated with the CRB by exploiting the specific structure of the observed signal, see e.g., [1, 2] and references therein. The current contribution builds on this previous work, but in this case, no distributional assumptions are made about the data symbols. A generalized closed-form expression of the CRB is presented, the resulting computational complexity is discussed, and numerical results are provided.

关键词： Parameter estimation computational complexity Additive white noise Gaussian noise AWGN Closed-form solution Frequency synchronization Phase estimation Phase noise Phase modulation

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Robust autonomous detection of the faulty sensors of a sensor array

Robust autonomous detection of the faulty sensors of a senso...

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2nd ieee international workshop on computational advances in multi-sensor adaptive processing

作者： Ghosh, Siddhartha Freitas, Alex Marshall, Ian Univ Kent Comp Lab Canterbury CT2 7NF Kent England Univ Lancaster Ctr Environm Informat Lancaster LA1 4YW England

ISBN: (纸本)9781424417131

We propose a technique for the autonomous detection of the faulty sensors of a sensor array that are aberrant relative to the rest. Our approach is based on probabilistically modeling the distribution of the differences between the sensor measurements as a mixture of gaussians and then classifying further instances of the sensor differences using a naive bayes classifier. We demonstrate the applicability of this technique to the diagnosis of the sensors/photosites of a CCD array, using sensor array data comprising of randomly selected images. Our technique performs well for different combinations of parameter settings at the detection of the faulty photosites of a CCD array.

关键词： Charge coupled devices

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Analysis of the Cramer-Rao bound integrating a prior-knowledge

Analysis of the Cramer-Rao bound integrating a prior-knowled...

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2nd ieee international workshop on computational advances in multi-sensor adaptive processing

作者： Boyer, Remy Univ Paris 11 CNRS SUPELEC L2S Orsay France

ISBN: (纸本)9781424417131

Introducing prior-knowledge of some damped/undamped poles in the estimation of the parameters of a mutli-poles sinusoidal model is an important problem as for instance in bearing estimation or in biomedical signal analysis. The principle is to orthogonally project the data onto the noise space associated with the known poles. As the Cramer-Rao Lower Bound (CRB) gives a benchmark against which algorithms performance can be compared, it is useful to derive the CRB associated with this model, named Prior-CRB (P-CRB). In particular, we analyze this bound in the context of close subspaces context, ie., when the known poles are close to the unknown ones.

关键词： Benchmarking

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Robust multi-antenna broadcasting with imperfect channel state information

Robust multi-antenna broadcasting with imperfect channel sta...

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2nd ieee international workshop on computational advances in multi-sensor adaptive processing

作者： Wajid, Imran Gershman, Alex B. Vorobyov, Sergiy A. Karanouh, Yasser A. Tech Univ Darmstadt D-64283 Darmstadt Germany Univ Alberta Edmonton AB T6G 2M7 Canada

ISBN: (纸本)9781424417131

The problem of robust multi-antenna broadcasting is considered in the case of erroneous channel state information (CSI) at the transmitter. The criterion of minimum transmission power is used subject to the constraints guaranteeing that the signal-to-noise ratio (SNR) of each intended receiver satisfies a prescribed quality of service (QoS) requirement for the worst-case norm-bounded CSI mismatch. The resulting robust broadcasting problem is non-convex and, therefore, is difficult to solve. However, a suitable semi-definite relaxation (SDR) of this problem is proposed that enables to transform it to a convex form and to compute the optimal transmitter weight vector.

关键词： Broadcasting antennas

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Global DC optimization for multi-user interference systems

Global DC optimization for multi-user interference systems

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2nd ieee international workshop on computational advances in multi-sensor adaptive processing

作者： Xu, Yang Le-Ngoc, Tho McGill Univ Dept Elect & Comp Engn Montreal PQ H3A 2A7 Canada

ISBN: (纸本)9781424417131

The weighted sum capacity of a Gaussian interference system is a nonconvex function of transmit power allocation vector of all users in the system. This paper shows that, by representing its objective function as a difference of two convex functions (d.c.), the non-convex optimization problem can be converted into an equivalent d.c. global optimization problem, which can be solved efficiently by various developed d.c. algorithms. In particular, a modified prismatic branch -and-bound algorithm that only requires solving a sequence of linear programming sub-problems, is introduced to find the global optimum. Simulation results in wireless flat-fading channel show that the proposed global d.c. optimization formulation outperforms considerably the local optimization methods in terms of achievable ergodic sum-rate capacity.

关键词： interference system weighted sum-rate capacity dc. optimization

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Linear precoders for OSTBC MIMO systems with correlated Rayleigh fading channels based on convex optimization

Linear precoders for OSTBC MIMO systems with correlated Rayl...

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2nd ieee international workshop on computational advances in multi-sensor adaptive processing

作者： Phan, Khoa T. Vorobyov, Sergiy A. Tellambura, Chintha Univ Alberta Edmonton AB T6G 2V4 Canada

ISBN: (纸本)9781424417131

In this paper, we present a precoder design framework and a computationally simple precoding technique for OSTBC based MIMO wireless systems with both transmit and receive correlations for the case of Rayleigh fading. It is assumed that the correlation among receive antennas is independent of the correlation among transmit antennas (and vice versa). The transmit and receive correlation matrices are assumed to be available at the transmitter, while the instantaneous channel state information (CSI) is unknown. The proposed precoder minimizes the upper bound on the symbol error rate (SER). Our main contribution consists of developing a convex formulation for originally non-convex problem of SER minimization for precoder design. Additionally, it can be shown that previously known solutions for some special cases of precoder design naturally follow from our more general results. Numerical simulations illustrate the improved performance of the proposed precoders in terms of the output SER.

关键词： MIMO systems

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Performance of Range-Only TMA 7

Performance of Range-Only TMA

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7th ieee international workshop on computational advances in multi-sensor adaptive processing (CAMSAP)

作者： Perez, Annie-Claude Jauffret, Claude Pillon, Denis Univ Toulon & Var Aix Marseille Univ CNRS IM2NP Marseille France CS 60584 F-83041 Toulon 9 France Thonon France Toulon France

Range-only target motion analysis (ROTMA) is the topic of this paper: we focus our study on the numerical aspect and performance of the maximum likelihood estimates (MLE) for some scenarios when the noise polluting th... 详细信息

ISBN: (纸本)9781538612514

关键词： Observers Trajectory Maximum likelihood estimation Legged locomotion Noise measurement Observability Conferences

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computational advances in Sparse L1-norm Principal-Component Analysis of multi-Dimensional Data 7

Computational Advances in Sparse L1-norm Principal-Component...

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7th ieee international workshop on computational advances in multi-sensor adaptive processing (CAMSAP)

作者： Chamadia, Shubham Pados, Dimitris A. SUNY Buffalo Dept Elect Engn Buffalo NY 14260 USA

ISBN: (纸本)9781538612514

We consider the problem of extracting a sparse L-1-norm principal component from a data matrix X is an element of R-DxN of N observation vectors of dimension D. Recently, an optimal algorithm was presented in the literature for the computation of sparse L-1-norm principal components with complexity O(N-S) where S is the desired sparsity. In this paper, we present an efficient suboptimal algorithm of complexity O (N-2 (N + D)). Extensive numerical studies demonstrate the near-optimal performance of the proposed algorithm and its strong resistance to faulty measurements/outliers in the data matrix.

关键词： Eigen-vectors faulty data feature extraction L-1-norm L-2-norm outlier resistance sparse principal-component analysis

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A General Class of Recursive Minimum Variance Distortionless Response Estimators 7

A General Class of Recursive Minimum Variance Distortionless...

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7th ieee international workshop on computational advances in multi-sensor adaptive processing (CAMSAP)

作者： Galy, Jerome Chaumette, Eric Vincent, Francois Univ Montpellier 2 LIRMM Montpellier France Univ Toulouse ISAE Supaero Toulouse France

ISBN: (纸本)9781538612514

In deterministic parameters estimation, it is common place to design a minimum variance distortionless response estimator (MVDRE) instead of a maximum likelihood estimator to tackle the problem of identifying the components of observations formed from a linear superposition of individual signals to noisy data. When several observations are available and the individual signals are allowed to perform a random walk between observations, one obtains the general class of linear discrete state-space models. This paper introduces a novel recursive formulation of the MVDREs of individual signals compatible with recursive estimation.

关键词： Estimation Lead Radar computational modeling Conferences Covariance matrices Time measurement

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