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检索条件"任意字段=2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010"

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LINEAR-TIME JOINT PROBABILISTIC DATA ASSOCIATION FOR MULTIPLE EXTENDED OBJECT TRACKING 10

LINEAR-TIME JOINT PROBABILISTIC DATA ASSOCIATION FOR MULTIPL...

引用

10th ieee sensor array and multichannel signal processing workshop (sam)

作者： Yang, Shishan Thormann, Kolja Baum, Marcus Univ Passau Fac Comp Sci & Math Chair Sensor Technol Passau Germany

ISBN: (纸本)9781538647523

The Joint Probabilistic Data Association (JPDA) filter for multiple object tracking is based on the assumption that at most one measurement originates from a target object. However, with the development of high-resolution sensors, it is often the case that multiple spatially distributed detections are obtained from a single object. To tackle this emerging data association challenge, this paper presents a JPDA method based on the Poisson spatial measurement model for extended objects. As the constraint that one target gets at most one measurement is relaxed, the marginal association probabilities can be obtained with linear complexity in the number of measurements and targets. The proposed method is compared to a partition-based multiple extended object tracking algorithm.

关键词： Shape Object tracking Clutter Target tracking Probabilistic logic Shape measurement Time measurement"

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Optimum subband filterbank design for radar array signal processing with pulse compression

Optimum subband filterbank design for radar array signal pro...

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1st ieee sensor array and multichannel signal processing workshop (sam 2000)

作者： Rabinkin, D Nguyen, T MIT Lincoln Lab Lexington MA 02173 USA

ISBN: (纸本)0780363396

A front-end radar array processing system that operates in the subband domain is considered. It is assumed that pulse compression will be performed on radar return signals in the subband domain. A cohesive algorithm is presented that optimizes the design of all filters used in the subbanding process. These include the analysis filter (used to decompose return signals into narrowband components), the synthesis filter (used when combining subband components after processing), and the pulse compression generating filter (used to generate subband pulse compression filters from a wideband pulse compression filter). The algorithm attempts to minimize system aliasing noise, frequency distortion, and subband processing operations count.

关键词： Algorithm design and analysis array signal processing Design optimization Filter bank Pulse compression methods Pulse generation Radar signal processing signal design signal generators signal processing algorithms

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DECENTRALIZED DATA processing AND MANAGEMENT IN SMART GRID VIA GOSSIPING

DECENTRALIZED DATA PROCESSING AND MANAGEMENT IN SMART GRID V...

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ieee 7th sensor array and multichannel signal processing workshop (sam)

作者： Li, Xiao Wang, Zhifang Scaglione, Anna Univ Calif Davis Dept Elect & Comp Engn Davis CA 95616 USA

ISBN: (纸本)9781467310710

In this paper, we propose a model for a peer-to-peer database system architecture where each server is aware of the power system state vector, and that can provide a scalable architecture for the Smart Grid. The key new component is a decentralized gossip-based state estimation (G-SE) algorithm included as a stored database procedure, which constantly updates via network diffusion, the global state information vector in each server of the distributed database system (DDBS). In addition to provide global situation awareness, state aware DDBS can attain communication and storage efficiency first, by using the temporal and spatial correlation of the state to compress it and, second, by storing the state as side information to store measurement residuals. Thanks to the G-SE primitive DDBS are more resilient to network attaks, can reduce network usage and streamline query processing for Smart Grid applications.

关键词： Distributed database system (DDBS) smart grid

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Direction of Arrival Estimation of Wideband signals using Sub-Nyquist samples

Direction of Arrival Estimation of Wideband Signals using Su...

引用

8th ieee sensor array and multichannel signal processing workshop (sam)

作者： Chaturvedi, Amal Fan, H. Howard Univ Cincinnati Dept Elect Engn & Comp Syst Cincinnati OH 45220 USA

ISBN: (纸本)9781479914814

This work is dedicated towards finding the Direction of Arrival (DOA) of Wideband signals using Sub-Nyquist samples. In a sensor array, the time delay between two sensors depends on the position of sources and thus its estimate could be used in finding the DOA of the sources. In this paper, we propose to estimate the time delay among sensors using cross-correlation of the signals received at the sensor array. The wider the bandwidth of the signal, the sharper will be the peak of its autocorrelation. Thus, it would be safe to assume that the autocorrelation of a wideband signal is sparse. The number of sharp peaks in the autocorrelation will be the same as the number of uncorrelated sources. The strength of Compressive sampling (CS) lies in solving an underdetermined problem with a very high probability, provided the solution is sparse. This fits our wideband DOA problem very well, and is used to estimate the autocorrelation and hence the DOA of the signals with sub-Nyquist sampling. Simulations are given to support this concept.

关键词： broadband signal Direction of arrival estimation Autocorrelation signals United States Department of Agriculture time delay sensors broadband sensor arrays Cross correlation

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DOA Estimation by Two-Dimensional Interpolation in the Presence of Mutual Coupling 11

DOA Estimation by Two-Dimensional Interpolation in the Prese...

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ieee 11th sensor array and multichannel signal processing workshop (sam)

作者： Liu, Qi Cao, Hui Wu, Yuntao Huang, Changhai Natl Univ Singapore Dept Elect & Comp Engn Singapore Singapore Wuhan Univ Technol Sch Informat Engn Wuhan Peoples R China Wuhan Inst Technol Sch Comp Sci & Engn Wuhan Peoples R China Shanghai Maritime Univ Merchant Marine Coll Shanghai Peoples R China

ISBN: (纸本)9781728119465

In mobile communication, mutual coupling between array elements will affect the estimation performance of the existing direction of arrival (DOA) estimators. To tackle this problem, an accurate DOA estimation method for coprime array is developed, where the effect of mutual coupling is eliminated by the banded complex symmetric Toeplitz matrix, and further weakened via two-dimensional (2-D) interpolation. The accuracy of the proposed algorithm is verified by the simulation results in comparison of several DOA estimation approaches as well as Cramer-Rao lower bound (CRLB).

关键词： Direction of arrival estimation mutual coupling array signal processing coprime array two-dimensional interpolation

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WIDEBAND DOA ESTIMATION FOR NONUNIFORM LINEAR arrayS WITH WIENER array INTERPOLATION

WIDEBAND DOA ESTIMATION FOR NONUNIFORM LINEAR ARRAYS WITH WI...

引用

ieee sensor array and multichannel signal processing workshop

作者： Yasar, T. Kaya Tuncer, T. Engin METU Dept Elect & Elect Engn Ankara Turkey

ISBN: (纸本)9781424422401

Coherent wideband DOA estimation for non-uniform linear arrays (NLA) is considered. array interpolation is used for two mappings. In the first mapping, NLA is mapped to a uniform linear array with the same array aperture. In the second mapping covariance matrices for each frequency bin are mapped to a single one at the center frequency for coherent DOA estimation. A Wiener formulation is used for array interpolation where both signal and noise powers are estimated with maximum likelihood method. Different approaches are compared and the advantages of wideband processing versus narrowband processing are outlined. The accuracy of the SNR estimation is high and it is shown that Wiener array interpolation significantly improves the DOA estimation performance in both narrowband and wideband

关键词： Mapping

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Beamspace IQML

Beamspace IQML

引用

1st ieee sensor array and multichannel signal processing workshop (sam 2000)

作者： Tian, Z Van Trees, HL George Mason Univ Ctr Excellence C3I Fairfax VA 22030 USA

ISBN: (纸本)0780363396

Iterative quadratic maximum likelihood (IQML) is an efficient approach for estimating the directions of arrival (DOA) of signals impinging on a uniform linear array. It is desirable to apply the IQML method in beamspace SO as to take advantage of the benefits of beamspace operations in terms of reduced computational complexity and improved resolution thresholds. The difficulty with beamspace IQML is that the Vandermonde structure of the array manifold may not preserve during the beamspace transformation. We tackle this obstacle using discrete Fourier transform (DFT) beams and derive a parameterized polynomial in the beamspace dimension. The proposed beamspace IQML algorithm is computationally efficient, and provides satisfactory estimation results.

关键词： IQML estimation beamspace processing polynomial parameterizations discrete Fourier transform matrices

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A reference-free time difference of arrival source localization using a passive sensor array

A reference-free time difference of arrival source localizat...

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ieee sensor array and multichannel signal processing workshop

作者： Amar, Alon Leus, Geert Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft 2628 CD Netherlands

ISBN: (纸本)9781424489770

Least squares source position estimation techniques from time difference of arrival measurements are based on choosing a reference sensor. Selecting different reference sensors may affect the positioning accuracy by a considerable amount. We suggest a closed-form least squares position estimation using all the available distinct time differences, which does not involve the selection of a reference sensor. The nonlinear terms, associated with the distances between the sensors and the source, are eliminated with an orthogonal projection matrix. Simulation results show that the proposed approach outperforms previous closed-form least squares solutions. © 2010 ieee.

关键词： Time difference of arrival

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Robust signal Detection by Using The EEF

Robust Signal Detection by Using The EEF

引用

ieee 7th sensor array and multichannel signal processing workshop (sam)

作者： Kay, Steven Ding, Quan Rangaswamy, Muralidhar Univ Rhode Isl Dept Elect Comp & Biomed Engn Kingston RI 02881 USA Wright Patterson AFB US Air Force Res Lab Columbus OH USA

ISBN: (纸本)9781467310710

In detection theory, the optimal Neyman-Pearson rule applies when the characteristics of the signal and the noise are completely known. However, in many practical scenarios such as multipath or moving targets, only partial knowledge of the signal can be obtained. In this paper, we examine the case when the alternative hypothesis has multiple candidate models, and apply the multimodal sensor integration technique based on the exponentially embedded family to detection. It is shown that our method is asymptotically optimal as it converges to the true underlying model. Furthermore, this method is computationally efficient. We also compare the proposed method with existing classifier combining rules by simulations.

关键词： Detection exponentially embedded family multimodal sensor integration robustness

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Tensor-Based Angle Estimation with Coprime MIMO Radar 11

Tensor-Based Angle Estimation with Coprime MIMO Radar

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ieee 11th sensor array and multichannel signal processing workshop (sam)

作者： Shi, Junpeng Wu, Dongming Li, Zhihui Wen, Fangqing Natl Univ Def Technol Dept Early Warning Surveillance Hefei Peoples R China Yangtze Univ Elect & Informat Sch Jingzhou Peoples R China

ISBN: (纸本)9781728119465

In this paper, we propose an optimized tensor model for direction of departure (DOD) and direction of arrival (DOA) estimation with coprime multiple input multiple output (MIMO) radar. We first develop the Toeplitz matrix using the consecutive lags in the sum-difference coarray after vectorizing the array covariance matrix. We then construct a generalized three-way tensor model and derive the optimized tensor by maximizing the number of targets. Then, the existing COMFAC technique is exploited for angle estimation. We show that the proposed method can identify more targets and achieve better performance by enforcing the three-way structure as compared to the subspace-based algorithms. Numerical simulations are provided to validate the theoretical analysis.

关键词： MIMO radar tensor decomposition angle estimation coprime array

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