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ieee workshop on Statistical signal and array processing

作者： C. Martin B. Ottersten Department of Signals Sensors & Systems Royal Institute of Technology Stockholm Sweden

Interference from other users and interference due to multipath propagation limit the capacity of wireless communication networks. As the number of users and the demand for new services in the networks increases, co-channel interference will be a limiting factor. This paper proposes an iterative structured multichannel receiver algorithm that jointly estimates the communication channels and desired data while canceling interference. A general way of adding training redundancy to a data frame is also introduced. From simulations the proposed method is shown to achieve low bit error rates also in the presence of strong interference. These simulations also show that by distributing the training information in a data burst elaborately further improvements in performance are achievable.

关键词： Channel estimation Interference cancellation Intersymbol interference Radio transmitters Intelligent networks Wireless sensor networks Iterative algorithms Antenna arrays Receiving antennas Transmitting antennas

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Estimating the parameters of multiple wideband chirp signals in sensor arrays

IEEE Signal Processing Workshop on Statistical Signal and Ar...

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ieee signal processing workshop on Statistical signal and array processing, SSAP 2000年 467-471页

作者： Gershman, Alex B. Pesavento, Marius Amin, Moeness G. Department of ECE McMaster University HamiltonONT Canada Department of ECE Villanova University VillanovaPA United States

The problem of estimating the parameters of multiple wide-band polynomial-phase signal sources in sensor arrays is addressed. A new deterministic maximum likelihood (ML) direction of arrival (DOA) estimator and the respective Cramer-Rao bound (CRB) are presented for the general case of multiple constant-amplitude polynomial-phase sources. Since the proposed ML estimator is computationally intensive, an approximate solution is proposed, originating from the analysis of the ML function in the single chirp case. As a result, the so-called chirp beamformer is derived, which is applicable to 'well-separated' sources that have distinct time-frequency or/and spatial signatures. Our beamforming approach requires solving a 3D optimization problem and, therefore, enjoys essentially simpler implementation than that dictated by the exact ML.

关键词： signal detection

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array processing in the presence of unknown nonuniform sensor noise: a maximum likelihood direction finding algorithm and Cramer-Rao bounds

IEEE Signal Processing Workshop on Statistical Signal and Ar...

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ieee signal processing workshop on Statistical signal and array processing, SSAP 2000年 78-82页

作者： Pesavento, Marius Gershman, Alex B. McMaster Univ Hamilton Canada

We address the problem of estimating Directions Of Arrival (DOA's) of multiple sources observed on the background of nonuniform white noise with an arbitrary unknown diagonal covariance matrix. A new deterministic Maximum Likelihood (ML) DOA estimator is derived. Its implementation is based on an iterative procedure which includes stepwise concentration of the Log-Likelihood (LL) function with respect to the signal and noise nuisance parameters and requires only a few iterations to converge. New closed-form expressions for the deterministic and stochastic direction estimation Cramer-Rao bounds (CRB's) are derived for the considered nonuniform model. Our expressions can be viewed as an extension of the well-known results by Stoica and Nehorai, and Weiss and Friedlander to a more general noise model than the commonly used uniform one. Simulation and experimental (seismic data processing) results illustrate the performance of the estimator and validate our theoretical analysis.

关键词： signal processing

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Efficient signal detection in perturbed arrays

Efficient signal detection in perturbed arrays

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ieee workshop on Statistical signal and array processing

作者： A.M. Rao D.L. Jones Coordinated Science Laboratory University of Illinois Urbana-Champaign IL USA

The use of sensor arrays in signal processing applications has received considerable attention. Various array perturbations caused by phase, calibration, or modeling errors often cause the sensor observations to become only partially correlated, limiting the application of traditional matched-field beamformers. Quadratic array processing is optimal for many randomly perturbed array problems; however, direct implementation poses a significant computational burden. We propose a highly efficient, asymptotically optimal method of implementing quadratic array processors suitable for detection problems in randomly perturbed arrays. Specifically, we show that under certain conditions the optimal array processor can be approximately realized efficiently and robustly employing only discrete Fourier transforms to deal with spatial processing while entailing only a small loss in performance.

关键词： signal detection sensor arrays Phased arrays array signal processing Performance loss Discrete Fourier transforms Calibration Detectors Limiting Noise robustness

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Parameter estimation: the ambiguity problem

Parameter estimation: the ambiguity problem

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ieee workshop on Statistical signal and array processing

作者： V. Lefkaditis A. Manikas Department of Electrical and Electronic Engineering Imperial College of Science Technology and Medicine London UK

ISBN: (纸本)0780359887

In a statistical signal processing parameter estimation problem, ambiguities are generated when there is not a one to one mapping between the object space and the measurement space. The ambiguity problem is investigated using differential geometry concepts and a theoretical framework is proposed for the classification, identification and calculation of ambiguities, associated with two application areas, that is in array processing and in the harmonic retrieval problem.

关键词： Parameter estimation Geometry array signal processing sensor arrays Equations Space technology Shape Educational institutions Biomedical signal processing signal generators

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Beam patterns of an underwater acoustic vector hydrophone

Beam patterns of an underwater acoustic vector hydrophone

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ieee workshop on Statistical signal and array processing

作者： K.T. Wong Hoiming Chi Department of Electronic Engineering Chinese University of Hong Kong New Territories Hong Kong China School of Electrical & 8mputer Engineering Purdue University West Lafayette IN USA

A vector hydrophone is composed of two or three spatially collocated but orthogonally oriented velocity hydrophones plus an optional collocated pressure hydrophone. A vector hydrophone may form azimuth-elevation beams that are frequency invariant, bandwidth invariant and same for the near field as for the far field. This paper characterizes the maximum-SINR beam pattern and the matched-filter beam pattern associated with a single underwater acoustic vector hydrophone.

关键词： Acoustic beams Underwater acoustics Sonar equipment Frequency Structural beams Bandwidth Pattern matching Acoustic measurements Sea measurements sensor arrays

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Taylor series adaptive processing

Taylor series adaptive processing

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ieee workshop on Statistical signal and array processing

作者： D.J. Rabideau Lincoln Laboratory Massachusetts Institute of Technology Lexington MA USA

Many signal processing applications require estimating and tracking a quantity that is inherently nonstationary. Such quantities may be matrices (e.g., a covariance matrix or an image), vectors (e.g., a weight vector or an eigenvector), or scalars. This paper considers the use of Taylor series expansions to enhance tracking. The potential benefits of this approach include: (1) a reduction in computational burden, (2) a reduction in required memory size and/or communication bandwidth (via an implicit compression of the quantity of interest), (3) interpolation through "gaps" in the available data, and (4) increased fidelity due to the explicit incorporation of "nonstationarity" into the model. sensor array processing examples are used to illustrate the approach.

关键词： Taylor series Radar tracking sensor arrays Covariance matrix array signal processing Bandwidth Least squares approximation Eigenvalues and eigenfunctions Laboratories Adaptive signal processing

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A versatile spatio-temporal correlation function for mobile fading channels with non-isotropic scattering

A versatile spatio-temporal correlation function for mobile ...

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ieee workshop on Statistical signal and array processing

作者： A. Abdi M. Kaveh Department of Electrical and Computer Engineering University of Minnesota Minneapolis MI USA

ISBN: (纸本)0780359887

For the analysis and design of adaptive antenna arrays in mobile fading channels, we need a model for the spatio-temporal correlation among the array elements. In this paper we propose a general spatio-temporal correlation function, where non-isotropic scattering is modeled by von Mises distribution, an empirically-verified model for non-uniformly distributed angle of arrival. The proposed correlation function has a closed form and is suitable for both mathematical analysis and numerical calculations. The utility of the new correlation function has been demonstrated by quantifying the effect of non-isotropic scattering on the performance of two applications of the antenna arrays for multiuser multichannel detection and single-user diversity reception. Comparison of the proposed correlation model with published data in the literature shows the flexibility of the model in fitting real data.

关键词： Fading Adaptive arrays Rayleigh scattering Antenna arrays Mobile antennas Receiving antennas Time domain analysis Mobile communication Adaptive signal processing array signal processing

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Blind identification of slightly delayed mixtures

Blind identification of slightly delayed mixtures

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ieee workshop on Statistical signal and array processing

作者： G. Chabriel J. Barrere MS / GESSY-ISITV Université de Tlemcen La Valette-du-Var France

We are interested in the separation of N propagating source signals recorded simultaneously by a set of receivers. To solve this "cocktail-party problem", we propose to collect a set of spatially close microphones. On each sensor, signals are received with the same attenuation but with different time delays. The linear memoryless conventional model for source separation is then no longer suitable. However, when time delays are small in comparison with the coherence time of each source, we show that this problem can be simplified building up a particular set of instantaneous mixtures involving derivatives of sources with respect to time. Then, sources can be extracted using second-order methods. The limitations of the method are exposed: we explain what a small delay is and we show that the number of sources cannot exceed 3. The validity of the proposed approach is confirmed by computer simulations. Finally, we apply our method to an experiment where two source signals are extracted from their mixtures observed with two omnidirectional microphones in a normal room.

关键词： sensor arrays Reactive power Delay effects Frequency Attenuation Source separation Microphones Additive noise Propagation delay sensor systems

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Adaptive digital beamforming radar for monopulse angle estimation in jamming

Adaptive digital beamforming radar for monopulse angle estim...

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ieee workshop on Statistical signal and array processing

作者： Kai-Bor Yu D.J. Murrow GE Research and Development Center Niskayuna NY USA Radar & Sensors Systems Lockheed Martin Ocean Syracuse NY USA

ISBN: (纸本)0780359887

This paper describes a digital beamforming architecture for nulling a mainlobe jammer and multiple sidelobe jammers while maintaining the monopulse angle estimation accuracy. It involves two-stage processing using adaptive digital beamforming followed by a mainlobe jammer canceller. A mainlobe jammer blocking matrix and constrained adaptation are employed during the adaptive sidelobe cancellation so that the results of sidelobe jammer cancellation process do not distort the subsequent mainlobe cancellation process. This technique is developed to determine the angular location of a target by maintaining the estimation accuracy of the monopulse ratio in the presence of jamming.

关键词： array signal processing Jamming Adaptive arrays Object detection Azimuth sensor arrays Radar tracking signal processing algorithms Oceans sensor systems

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