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检索条件"主题词=sensor array processing"

共 74 条记录，以下是51-60 订阅

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Bayesian array signal processing in additive generalized Gaussian noise

Bayesian array signal processing in additive generalized Gau...

引用

11th IEEE Workshop on Statistical Signal processing (SSP 2001)

作者： Kannan, B Natl Univ Singapore Ctr Wireless Commun Singapore 11764 Singapore

ISBN: (纸本)0780370112

In this paper, we present a Bayesian approach for DOA and frequency estimation of narrow band signals in additive generalized Gaussian noise. Using Bayesian techniques, the posterior probability densities for DOA (Direction Of Arrival) and frequency parameters are derived from the signal and noise models. These posterior probabilities are then used in the Metropolis-Hastings (M-H) algorithm to derive the samples for the DOA and frequency parameters. The performances of our algorithms are studied by plotting the MSEs (Mean Square Errors) of the parameters for various SNRs. The MSEs of the parameters are compared with the CRLBs (Cramer Rao Lower Bound) for the generalized Gaussian models.

关键词： non-Gaussian signal processing sensor array processing Bayesian estimation M-H algorithm

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PERFORMANCE ANALYSIS OF ROOT-MUSIC-BASED DIRECTION-OF-ARRIVAL ESTIMATION FOR ARBITRARY NON-UNIFORM arrayS

PERFORMANCE ANALYSIS OF ROOT-MUSIC-BASED DIRECTION-OF-ARRIVA...

引用

IEEE sensor array and Multichannel Signal processing Workshop

作者： Ruebsamen, Michael Gershman, Alex B. Tech Univ Darmstadt Commun Syst Grp D-64283 Darmstadt Germany

We present the asymptotic performance analysis of the interpolated root-MUSIC and manifold separation (MS) techniques for direction-of-arrival (DOA) estimation in arbitrary non-uniform sensor arrays. Our analysis take... 详细信息

ISBN: (纸本)9781424422401

关键词： Direction-of-arrival estimation non-uniform sensor arrays root-MUSIC sensor array processing

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Preliminary results in B-spline enhanced source-tracking

Preliminary results in B-spline enhanced source-tracking

引用

9th IEEE Signal processing Workshop on Statistical Signal and array processing (SSAP98)

作者： Green, RA Pierre, JW Univ Wyoming Dept Elect Engn Laramie WY 82071 USA

ISBN: (纸本)0780350103

Source-tracking algorithms typically require estimation of an array's unknown correlation matrix. Time-averaging forms the basis of estimating the correlation matrix in most applications. This paper provides a preliminary investigation in the use of B-splines rather than time-averages to estimate the correlation matrix. The smooth, continuous character of splines can accurately match the behaviour of an array's true correlation matrix. Preliminary results indicate tracking estimates based on the spline-fit correlation:matrix have improved smoothness over time-averaging methods and can have comparable or better accuracy. Furthermore, B-splines are computationally efficient and are easily adapted to near real-time processing.

关键词： sensor array processing source-tracking nonstationary signals and time-varying systems B-splines

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MAXIMUM LIKELIHOOD AND MAXIMUM A POSTERIORI DIRECTION-OF-ARRIVAL ESTIMATION IN THE PRESENCE OF SIRP NOISE 41

MAXIMUM LIKELIHOOD AND MAXIMUM A POSTERIORI DIRECTION-OF-ARR...

引用

41st IEEE International Conference on Acoustics, Speech and Signal processing (ICASSP)

作者： Zhang, Xin El Korso, Mohammed Nabil Pesavento, Marius Tech Univ Darmstadt Commun Syst Grp Darmstadt Germany Univ Paris Ouest Nanterre La Def LEME EA416 Ville Davray France

ISBN: (纸本)9781479999880

The maximum likelihood (ML) and maximum a posteriori (MAP) estimation techniques are widely used to address the direction-of-arrival (DOA) estimation problems, an important topic in sensor array processing. Conventionally the ML estimators in the DOA estimation context assume the sensor noise to follow a Gaussian distribution. In real-life application, however, this assumption is sometimes not valid, and it is often more accurate to model the noise as a non-Gaussian process. In this paper we derive an iterative ML as well as an iterative MAP estimation algorithm for the DOA estimation problem under the spherically invariant random process noise assumption, one of the most popular non-Gaussian models, especially in the radar context. Numerical simulation results are provided to assess our proposed algorithms and to show their advantage in terms of performance over the conventional ML algorithm.

关键词： Direction-of-arrival estimation spherically invariant random process maximum likelihood estimation maximum a posteriori estimation sensor array processing

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Implementation Aspects of Joint Angle and Delay Estimation for Road Traffic Applications 6

Implementation Aspects of Joint Angle and Delay Estimation f...

引用

IEEE 6th International Conference on Communications and Electronics (IEEE ICCE)

作者： Patelczyk, Timo Biebl, Erwin Tech Univ Munich Fachgebiet Hochstfrequenztech Arcisstr 21 D-80333 Munich Germany

ISBN: (纸本)9781509018017

This paper provides an overview of implementation aspects of an algorithm for joint angle and delay estimation using shift-invariance techniques (SI-JADE) based on theoretical considerations. Objective is an assessment of computational complexity in terms of a real-time capable system design. This is an important step towards a practical implementation on an available hardware platform. The focus is on a time critical application for protection of vulnerable road users. A position determination of these, relative to a localization vehicle, allows an assistance of the driver in case of critical situations. For this purpose a field programmable gate array (FPGA) will be assumed as a platform. At this point two implementation aspects are discussed. The first one is a runtime optimized implementation of such a localization algorithm. The second aspect is that hardware resources can not be neglected. This is strongly linked to a practical implementation. In addition, theoretical results of computational complexity will be transferred to the application. At this point the urban and rural environment will be considered. These scenarios represent the worst case in terms of an implementation for the application. The objective is to show limitations of an implementation. Finally, a reduction of computational complexity is presented. This will allow a real-time capable implementation.

关键词： joint angle and delay estimation multiray propagation sensor array processing FPGA implementation

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MV-PURE ESTIMATOR OF DIPOLE SOURCE SIGNALS IN EEG

MV-PURE ESTIMATOR OF DIPOLE SOURCE SIGNALS IN EEG

引用

IEEE International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Piotrowski, T. Zaragoza-Martinez, C. C. Gutierrez, D. Yamada, I. Nicolaus Copernicus Univ Dept Informat Fac Phys Astron & Informat PL-87100 Torun Poland Ctr Res & Advan Studies Mexico City 66600 DF Mexico Tokyo Inst Technol Dept Commun Engn Tokyo 152 Japan

ISBN: (纸本)9781479903566

We consider the problem of dipole source signals estimation in electroencephalography (EEG) using IDeamforming techniques in ill-conditioned. settings. We take advantage of the link between the linearly constrained minimum-variance (LCMV) beamformer in sensor array processing and the best linear unbiased estimator (BLUE) in linear regression modeling. We show that the recently introduced reducedrank extension of BLUE, named minimum-variance pseudounbiased reduced-rank estimator (MV-PURE), achieves much lower estimation error not only than LCMV beamformer, but also than the previously derived reduced-rank principal components (PC) and cross-spectral metrics (CSM) beamformers in ill-conditioned settings. The practical scenarios where the considered estimation model becomes ill-conditioned are discussed, then we show the applicability of MV-PURE dipole source estimator under those conditions through realistic simulations.

关键词： MV-PURE estimator reduced-rank estimation dipole source signal electroencephalography sensor array processing

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Anti-jamming DOA Estimation Based on Compressive Sensing via Blocking Matrix 23

Anti-jamming DOA Estimation Based on Compressive Sensing via...

引用

23rd IEEE International Conference on Digital Signal processing (DSP)

作者： Liu, Beiyi Gui, Guan Matsushita, Shin-ya Xu, Li Akita Prefectural Univ Dept Elect & Informat Syst Akita 0150055 Japan Nanjing Univ Posts & Telecommun Coll Telecommun & Informat Engn Nanjing 210003 Jiangsu Peoples R China

ISBN: (纸本)9781538668122;9781538668115

Disturbed by strong jamming, the compressive sensing (CS) based direction-of-arrival (DOA) estimation methods in colocated multiple-input-multiple-output (MIMO) radars are distorted easily. In this paper, a CS based anti-jamming DOA estimation method employing a blocking matrix is proposed. In the new DOA estimation method, the QR decomposition algorithm is used to construct a blocking matrix which is orthogonal to the steering vector of jamming. After the preprocessing with the blocking matrix, the jamming component is removed from the received snapshots. Then, the DOA estimation problem with the blocking matrix is formulated as a CS sparse recovery problem, and CS algorithms are used to solve it. Computer simulations show that the proposed method performs than the traditional methods.

关键词： compressive sensing direction of arrival (DOA) sensor array processing QR decomposition

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Compressive Sensing-based DOA Estimation using the Dantzig Selector 60

Compressive Sensing-based DOA Estimation using the Dantzig S...

引用

60th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Salama, Amgad A. Ahmad, M. Omair Swamy, M. N. S. Concordia Univ Dept Elect & Comp Engn Montreal PQ H3G 1M8 Canada

ISBN: (纸本)9781509063895

In this paper, a new compressive sensing (CS)-based direction of arrival (DOA) estimation technique using the Dantzig selector is proposed. The proposed scheme can identify more source signals than the number of sensors used, without requiring an a priori knowledge of the number of source signals to be estimated and without any constraint or assumption about the nature of the signal sources using a fewer number of snapshots. The performance of the proposed scheme is compared to that of the Zhang penalty-based algorithm and the MVDR A-LASSO DOA estimation technique. The computational complexity of the proposed algorithm is substantially lower than that of the Zhang penalty-based method or MVDR A-LASSO.

关键词： Direction-of-arrival estimation sensor array processing Dantzig-selector Sparse array Compressive sensing

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Spatial limits on the performance of direction of arrival estimation

Spatial limits on the performance of direction of arrival es...

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6th Australian Communication Therory Workshop

作者： Williams, Michael I. Y. Dickins, Glenn Kennedy, Rodney A. Abhayapala, Thushara D. NICTA Ltd Canberra ACT 0200 Australia

ISBN: (纸本)0780390075

In this paper, we demonstrate that the performance of a direction of arrival (DOA) estimator is fundamentally limited by the size of the region over which we measure a wavefield. That is, even assuming continuous field measurements across the region, we still cannot achieve perfect performance. We use an approach based on modal decomposition of a spatially truncated field, and completely independent of sensor geometry, to derive the Cramer-Rao Bound (CRB) for spatially-limited DOA estimators. The model is validated by comparison with results from a uniform circular array (UCA) as the number of sensors goes to infinity. Simulations of the spatial CRB show how DOA performance improves as the measurement region expands. Simulations of the bound also indicate that P sources can only be effectively resolved once a certain threshold region size is reached.

关键词： direction of arrival estimation spatial limits on resolution sensor array processing

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ESTIMATING THE NUMBER OF SIGNALS IN THE PRESENCE OF NONUNIFORM NOISE

ESTIMATING THE NUMBER OF SIGNALS IN THE PRESENCE OF NONUNIFO...

引用

IEEE International Conference on Acoustics, Speech and Signal processing (ICASSP)

作者： Diversi, Roberto Guidorzi, Roberto Soverini, Umberto Univ Bologna Dept Elect Elect & Informat Engn DEI I-40136 Bologna Italy

ISBN: (纸本)9781479928934

An important problem in sensor array processing is the estimation of the number of transmitted signals. Most of the proposed solutions rely on the assumption of uniform additive white noise on the measured signals. In this paper, an approach for estimating the number of sources in the presence of nonuniform white noise is proposed. The method is based on the computation of the maximal corank of the covariance matrix of the noisy data in the Frisch scheme context. The effectiveness of the method is tested by means of Monte Carlo simulations.

关键词： Source number estimation sensor array processing nonuniform additive noise Frisch scheme

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