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2004 sensor array and multichannel signal processing workshop

作者： Van De Laar, Jakob IEEE Technische Universiteit Eindhoven Dept. of Electrical Engineering P.O. Box 513 5600 MB Eindhoven Netherlands

ISBN: (纸本)0780385454

This paper presents a unifying method called TIME-MUSIC for high-resolution Direction Of Arrival estimation of statistically independent complex narrowband signals in noise with a planar sensor array of arbitrary geometry. It is based on the exploitation of an arbitrary-order temporal structure in the data by cumulants. A MUSIC-like spatial pseudo-spectrum is computed that exhibits peaks at the source directions of arrival. The theory is unifying in several senses. Firstly, it is general with respect to the order of the exploited temporal structure. Secondly, all types of statistical variability in the data, such as arbitrary-order nonstationarity and nonwhiteness, are incorporated into the problem formulation in a unified manner. Finally, the conjugation pattern of the arguments of the involved cumulant functions can be chosen arbitrarily. In practice, this should be done in accordance with the characteristics of the involved signals. Depending on the number of sensors, the order of the exploited temporal structure, and the chosen conjugation pattern, a large number of source directions can be determined that exceeds the number of sensors for orders larger than one. ©2004 ieee.

关键词： Data structures

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Shift invariance, incomplete arrays and coupled CPD: A case study

Shift invariance, incomplete arrays and coupled CPD: A case ...

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2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Sorensen, Mikael De Lathauwer, Lieven STADIUS Center for Dynamical Systems Signal Processing and Data Analytics IMinds Medical IT Department Kasteelpark Arenberg 10 Leuven-HeverleeB-3001 Belgium Group Science Engineering and Technology KU Leuven Kulak E. Sabbelaan 53 Kortrijk8500 Belgium

ISBN: (纸本)9781509021031

Tensors have proven to be useful tools for array processing. Most attention has been paid to separable arrays, which lead to a Canonical Polyadic Decomposition (CPD). For more general geometries, and in particular for sparse arrays and arrays with missing sensors, more general tensor methods are required. The recently proposed coupled CPD framework allows a data fission/fusion approach in which one zooms in on partial structures and combines the partial CPDs through which the latter are imposed. This approach yields explicit algebraic conditions under which the solution is unique. The exact solution can be found with a matrix eigenvalue decomposition in the noiseless case, similar to ESPRIT in the case of uniform linear arrays. We study in detail the case of sparse spatial sampling where sensors are located on points of a two-dimensional grid. Despite the fact that the array is incomplete, coupled CPD allows us to exploit the rectangularity of the grid as well as the uniformity of the spatial sampling in both dimensions. © 2016 ieee.

关键词： array processing

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Fracture source location in thin plates using the wavelet transform of dispersive waves

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ieee TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL 2000年第3期47卷 612-619页

作者： Jeong, H Jang, YS Wonkwang Univ Div Mech Engn Iksan 570749 Jeonbuk South Korea

A new signal processing approach was presented for acoustic emission source location using the dispersive waves in a thin plate. For wave propagation in dispersive media, the accuracy of source location can be improved by using the arrival times of a single frequency component in the output signals at an array of sensors. The wavelet transform (WT) was used to resolve this problem. By utilizing the time-frequency data of the WT, the frequency-dependent arrival time traveling with the group velocity was shown to be easily determined. Experiments were performed using a lead break as the simulated fracture source on the surface of an aluminum plate. Two plate modes corresponding to the So and Ao Lamb waves were identified, and their group velocities were accurately measured. The source location results based on the WT method agreed well with the true locations. The WT method was also compared with the cross correlation technique, and both methods provide similar results.

关键词： Position measurement Wavelet transforms sensor arrays Dispersion Frequency Acoustic signal processing array signal processing Acoustic emission Acoustic propagation Acoustic sensors

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A subspace method for array covariance matrix estimation

A subspace method for array covariance matrix estimation

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2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Rahmani, Mostafa Atia, George K. Department of Electrical and Computer Engineering University of Central Florida OrlandoFL United States

ISBN: (纸本)9781509021031

This paper introduces a subspace method for the estimation of an array covariance matrix. When the received signals are uncorrelated, it is shown that the array covariance matrices lie in a special subspace defined through all possible correlation vectors of the received signals and whose dimension is typically much smaller than the ambient dimension. Based on this observation, a subspace-based covariance matrix estimator is proposed as a solution to a semi-definite convex optimization problem. While the optimization problem has no closed-form solution, a nearly optimal closed-form solution that is easily implementable is proposed. The proposed approach is shown to yield higher estimation accuracy than conventional approaches since it eliminates the estimation error that does not lie in the subspace of the true covariance matrices. The numerical examples demonstrate that the proposed estimator can significantly improve the estimation quality of the covariance matrix. © 2016 ieee.

关键词： Covariance matrix

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Reduced-rank array processing for wireless communications with applications to IS-54/IS-136

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ieee TRANSACTIONS ON COMMUNICATIONS 2000年第5期48卷 743-747页

作者： Haimovich, AM Shah, A Wu, X New Jersey Inst Technol Dept Elect & Comp Engn Ctr Commun & Signal Proc Newark NJ 07102 USA

We study the application of the eigencanceler, a reduced rank method Based on the eigendecomposition of the estimated covariance matrix, to the wireless communication problem. Simple closed-form bounds are obtained for the bit-error rate of binary phase-shift keying modulation in the presence of cochannel interference in systems using sample matrix inversion (SMI) and the eigencanceler. The application of SMI and the eigencanceler to a flat fading time-division multiple-access system is studied in the context of the IS-54/IS-136 standard. It is shown that adaptive antennas in conjunction with reduced-rank processing can be used to increase capacity of such systems by reducing the frequency reuse factor from 7 to 1.

关键词： cochannel interference fading channels optimum combining space diversity

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Low-complexity correlated time-averaged variable forgetting factor mechanism for diffusion RLS algorithm in sensor networks

Low-complexity correlated time-averaged variable forgetting ...

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2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Zhang, Ling Cai, Yunlong Li, Chunguang De Lamare, Rodrigo C. Zhao, Minjian Department Ofinformation Science and Electronic Engineering Zhejiang University Hangzhou310027 China CETUC-PUC-Rio Rio de Janeiro22453-900 Brazil

ISBN: (纸本)9781509021031

In this work, we present the low-complexity variable forgetting factor (VFF) technique for the diffusion recursive least squares (RLS) algorithm. In particular, we adopt the VFF mechanism that rely on time-averages of the posteriori error signal and incorporate it into the diffusion RLS (DRLS) algorithm to yield the low-complexity correlated time-averaged VFF diffusion RLS (LCTVFF-DRLS) algorithm. We develop detailed analyses in terms of mean and mean square performance for the proposed algorithm, and derive mathematical expressions to compute the mean square deviation (MSD) and the excess mean square error (EMSE). The simulation results show that the proposed LCTVFF-DRLS algorithm outperforms the existing DRLS algorithm with the fixed forgetting factor, and demonstrate a good match between our proposed analytical expressions and simulated results. © 2016 ieee.

关键词： Diffusion

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Improving spectral efficiency in large-array FDD systems with hybrid beamforming

Improving spectral efficiency in large-array FDD systems wit...

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2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Araujo, Daniel C. Karipidis, Eleftherios De Almeida, Andre L. F. Mota, Joao C. M. Ceará Brazil Ericsson Research Stockholm Sweden

ISBN: (纸本)9781509021031

We investigate the spectral efficiency of large-array systems serving a single-antenna user in cellular frequencies, using full digital or hybrid analog-digital beamforming in frequency division duplexing (FDD) or time division duplexing (TDD) mode. We consider downlink transmission in time-frequency coherent channel blocks, containing both the pilots and data. Considering FDD and taking the pilot overhead into account, we show that hybrid beamforming provides better spectral efficiency performance than full digital beamforming, mainly in cases with high mobility and many antenna elements. We also optimize the number of used radio chains for hybrid beamforming in FDD and show it is possible to achieve comparable spectral efficiency as with full digital beamforming in TDD. © 2016 ieee.

关键词： Spectrum efficiency

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Joint frequency and direction of arrival estimation with space-time array

Joint frequency and direction of arrival estimation with spa...

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2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Anil Kumar, A. Razul, Sirajudeen Gulam Girish Chandra, M. See, Chong Meng Balamuralidhar, P. TCS Innovation Labs Bangalore560066 India Temasek Laboratories at NTU Nanyang Technological University Singapore637553 Singapore

ISBN: (纸本)9781509021031

Joint frequency and DOA estimation of more sources than the number of sensors is considered in this paper. We assume a simple uniform linear array (ULA) and propose to employ a multiple delay channel network at every sensor, which can easily be realized by sampling at a slightly higher rate. By combining the outputs of the ULA and the delay network, we show that the manifold matrix is analogous to that of a uniform rectangular array, and hence we appropriately refer to this array as the space-time array. Further, estimation of parameters via the rotational invariance technique (ESPRIT) based algorithm referred to as space-time (ST)-Euler-ESPRIT is proposed. ST-Euler-ESPRIT, similar to well known unitary-ESPRIT provides automatically paired frequencies and their DOAs. We further show that with the proposed approach for a M element ULA and with N-1 delay channel, O(MN) frequencies and their DOAs can be estimated. The performance of ST-Euler-ESPRIT is verified by simulations, where it shows consistently better performance than the unitary-ESPRIT algorithm under noisy conditions. © 2016 ieee.

关键词： Direction of arrival

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A Joint Particle Filter for Quaternion-Valued a-Stable signals via the Characteristic Function 12

A Joint Particle Filter for Quaternion-Valued a-Stable Signa...

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12th ieee sensor array and multichannel signal processing workshop, SAM 2022

作者： Talebi, Sayed Pouria Werner, Stefan Xia, Yili Took, Clive Cheong Mandic, Danilo P. Norwegian University of Science and Technology Electronic Systems Department NO-7491 Norway Southeast University Information Science and Engineering Nanjing210096 China Royal Holloway University of London Department of Electrical Engineering United Kingdom Imperial College London Electrical and Electronic Engineering Department SW7-2AZ United Kingdom

ISBN: (纸本)9781665406338

The filtering paradigm is revisited through the perspective of characteristic functions. This results in the derivation of a novel particle filtering technique for sequential estimation/tracking of quaternion-valued a-stable random signals. Importantly, the derived particle filter incorporates an efficient information fusion format and collaborative/distributed estimation framework to accommodate the push toward use of sensor networks. The distributed setting provides for the distribution of computational complexity among agents of a sensor network, while allowing each agent to retain an estimate of the state. Furthermore, the quaternion-valued structure allows for the derivation of a rigorous algorithm that is advantageous when dealing with signals of a multidimensional nature commonly encountered in sensor arrays. © 2022 ieee.

关键词： sensor networks

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Cooperative navigation and coverage identification with random gossip and sensor fusion

Cooperative navigation and coverage identification with rand...

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2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Braga, Andre R. Bruno, Marcelo G. S. Fritsche, Carsten Gustafsson, Fredrik Division of Electronics Engineering Aeronautics Institute of Technology São José dos Campos SP12228-900 Brazil Department of Electrical Engineering Linköping University LinköpingSE-581 83 Sweden

ISBN: (纸本)9781509021031

This paper is concerned with cooperative Terrain Aided Navigation of a network of aircraft using fusion of Radar Altimeter and inter-node range measurements. State inference is performed using a Rao-Blackwellized Particle Filter with online measurement noise statistics estimation. For terrain coverage measurement noise parameter identification, an online Expectation Maximization algorithm is proposed, where local sufficient statistics at each node are calculated in the E-step, which are then distributed to neighboring nodes using a random gossip algorithm to perform the M-step at each node. Simulation results show that improvement on positioning and calibration performance can be achieved compared to a non-cooperative approach. © 2016 ieee.

关键词： Image segmentation

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