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检索条件"任意字段=Sensor Array and Multichannel Signal Processing Workshop"

共 2593 条记录，以下是361-370 订阅

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A comparsion of two non-homogeneity detection methods for space-time adaptive processing

A comparsion of two non-homogeneity detection methods for sp...

引用

2nd IEEE sensor array and multichannel signal processing workshop

作者： Rangaswamy, M Chen, P Michels, JH Himed, B USAF Res Lab SNHE Hanscom AFB MA 01731 USA

ISBN: (纸本)0780375513

This paper undertakes a comparison of two nonhomogeneity detection (NHD) methods and addresses their impact on the performance of the adaptive matched filter (AMF) method and the normalized adaptive matched filter (NAMF) method in severely non-homogeneous clutter scenarios. Performance analysis is carried out using simulated data as well as measured data from the MCARM Program. Specific consideration is given to the computational cost of the NHD method and the sample support requirements. This paper presents a technique for speeding up the computations in the NHD. Performance is reported in terms of the probability of detection versus signal-to-noise-ratio (SNR) for simulated data analyses.

关键词： signal to noise ratio

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Nearfield spot-beamforming with distributed arrays

Nearfield spot-beamforming with distributed arrays

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1st IEEE sensor array and multichannel signal processing workshop (SAM 2000)

作者： Flaig, A Arce, GR Univ Delaware Newark DE 19716 USA

ISBN: (纸本)0780363396

The concept of spot-beamforming with distributed arrays (DAs) is introduced. DAs are array-source configurations whose array elements are spatially dispersed submerging the sources in the nearfield of the array, where they can be distinguished not only by their angular but also by their range signature. The resulting enhanced spatial discrimination capabilities reflected in a beampattern characterized by spot-like mainlobes lend DAs optimality properties. A gradient based algorithm for the joint optimization of the array geometry and the shading coefficients of a narrowband spot-beamformer in a stationary multiple source system is derived, and its convergence and performance are discussed. An important subclass of DAs, namely distributed linear arrays are introduced. This class is of practical significance and has the important property of being ambiguity-free in the limit for high SNR. For DAs with an arbitrary geometry, which can suffer from spatial aliasing, a set description of the ambiguities is given.

关键词： near-field spot-beamforming distributed arrays optimal array geometries gain resolution ambiguity

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Cellular and PCS propagation measurements and statistical models for urban multipath on an antenna array

Cellular and PCS propagation measurements and statistical mo...

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1st IEEE sensor array and multichannel signal processing workshop (SAM 2000)

作者： Keller, CM Bliss, DW MIT Lincoln Lab Lexington MA 02173 USA

ISBN: (纸本)0780363396

Multipath propagation has a significant impact on the performance of cellular and Personal Communication Services (PCS) systems in urban environments. This paper contains analyses to better understand urban multipath and examines the use of base-station antenna arrays to obtain spatial diversity. The results are based on data collected on large sparse aperture arrays and finely sampled arrays at a location below surrounding rooftop heights for both PCS and cellular frequencies. A statistical model is formulated to explain the relationship between multipath scatterers and signal cross-correlations as a function of antenna spacing.

关键词： Adaptive arrays Antenna arrays Antenna measurements Antennas and propagation Aperture antennas Broadband antennas Decorrelation Personal communication networks Receiving antennas Scattering

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array processing estimation of non-linearly superimposed acoustic waves

Array processing estimation of non-linearly superimposed aco...

引用

1st IEEE sensor array and multichannel signal processing workshop (SAM 2000)

作者： Piñero, G Vergara, L Univ Politecn Valencia Dept Comunicac Valencia 46022 Spain

ISBN: (纸本)0780363396

Acoustic pressure waves are non-linearly superimposed when a periodic gas flow is perturbing the propagating medium as' it arises in car exhaust systems. la such an environment, the application of standard beamforming techniques to the estimation of the forward and backward waves needs a previous reformulation to establish a linear superposition model, In this paper a new linearization method for the superposition of waves is proposed and compared to the classical assumption of linear pressure superposition, Moreover, a new problem formulation including the noise corruption of source waves is presented, In both new and classical linear contexts, three different beamformers - Delay-and-Sum (DS), Linearly Constrained Minimum Variance (LCMV) and Minimum mum Mean Squared Error (MMSE) - have been applied to numerical data generated by a thermodynamics modeling software. Results have shown that the new linearization method improves the backward wave estimation error in almost 3 dB for typical experiment conditions (few sensors and moderate signal-to-noise ratio).

关键词： Acoustic propagation Acoustic waves array signal processing Context modeling Estimation error Exhaust systems Fluid flow Nonlinear acoustics signal to noise ratio Thermodynamics

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Joint DOD and DOA Estimation for bistatic MIMO Radar in the presence of Combined array Errors 10

Joint DOD and DOA Estimation for bistatic MIMO Radar in the ...

引用

10th IEEE sensor array and multichannel signal processing workshop (SAM)

作者： Wen, Fangqing Wu, Lei Cai, Changxin Huang, Dongmei Yangtze Univ Natl Demonstrat Ctr Expt Electrotech & Elect Educ Jingzhou 434023 Peoples R China Naval Command Coll Dept Training Management Nanjing 210016 Peoples R China

ISBN: (纸本)9781538647523

In this paper, we investigate into joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation for bistatic multiple-input multiple-output (MIMO) radar in the presence of gain-phase error and mutual coupling error. An auxiliary sensors-based framework is proposed, the matched array measurement of the MIMO radar is formulated as a parallel factor (PARAFAC) model, which links the problem of joint DOD and DOA estimation to PARAFAC decomposition. Thereafter, the DODs and DOAs are obtained via least square strategy. The proposed method is computationally more efficient than the existing reduced-MUSIC method. Besides, it can achieve closed-form solutions for DODs and DOAs, which are paired automatically. Numerical experiments demonstrate the effectiveness of our method.

关键词： multiple-input multiple-output radar direction estimation mutual coupling gain-phase error position error parallel factor analysis

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RATE-DISTRIBUTED BINAURAL LCMV BEAMFORMING FOR ASSISTIVE HEARING IN WIRELESS ACOUSTIC sensor NETWORKS 10

RATE-DISTRIBUTED BINAURAL LCMV BEAMFORMING FOR ASSISTIVE HEA...

引用

10th IEEE sensor array and multichannel signal processing workshop (SAM)

作者： Zhang, Jie Heusdens, Richard Hendriks, Richard C. Delft Univ Technol Circuits & Syst CAS Grp Delft Netherlands

ISBN: (纸本)9781538647523

In this paper, we propose a rate-distributed linearly constrained minimum variance (LCMV) beamformer for joint noise reduction and spatial cue preservation for assistive hearing in wireless acoustic sensor networks (WASNs). The WASN can consist of wireless communicating hearing aids, extended with additional wireless microphones. Due to the fact that each sensor node has a limited power budget, it is essential to consider the energy usage when designing algorithms for such WASNs. As the energy usage in terms of data transmission is directly affected by the communication rate, the proposed method optimally distributes the bit rate for each microphone node. The rate distribution is obtained by minimizing the total transmission costs under constraints on the noise reduction performance and spatial cue preservation of interfering sources. In contrast to sensor selection, i.e., binary decisions on the usefulness of a node, rate distribution allows for soft decisions, and, will lead to more degrees of freedom for joint noise reduction and spatial cue preservation than sensor selection. Numerical results show that given a certain noise reduction requirement, the proposed method displays improved energy efficiency and can preserve the spatial cues of more interferers compared to sensor selection approaches.

关键词： Rate allocation sensor selection LCMV noise reduction energy usage binaural cue preservation hearing aids

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Joint source and relay optimization for a non-regenerative MIMO relay

Joint source and relay optimization for a non-regenerative M...

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4th IEEE sensor array and multichannel signal processing workshop

作者： Fang, Zheng Hua, Yingbo Koshy, John C. Univ Calif Riverside Dept Elect Engn Riverside CA 92521 USA Telecordia Technol Adv Wireless Signal Processing Res Red Bank NJ USA

ISBN: (纸本)1424403081

We consider a non-regenerative MIMO relay system where the source, relay and destination are all equipped with multiple antennas. The relay does not decode the packets but performs a multidimensional amplify-and-forward function (a relay matrix) on the baseband signals. Under the condition that the source is white, the relay matrix that maximizes the capacity between the source and the destination has been previously found. In this paper, we show a new result on how the source covariance matrix and the relay matrix can be jointly optimized to maximize the source-destination capacity. It is shown that the optimal coordinate system governed by the previously discovered relay matrix is still valid under the joint optimization, and the joint optimization yields a further capacity gain when the SNR at the relay is low.

关键词： Radio links

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The MIT Lincoln laboratory KASSPER algorithm testbed and baseline algorithm suite

The MIT Lincoln laboratory KASSPER algorithm testbed and bas...

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2nd IEEE sensor array and multichannel signal processing workshop

作者： Kreithen, DE Pulsone, NB Rader, CM Schrader, GE MIT Lincoln Lab Lexington MA 02173 USA

ISBN: (纸本)0780375513

MIT Lincoln Laboratory is investigating how to use a-priori information in an adaptive MTI radar under the DARPA-funded Knowledge-Aided sensor signal processing and Expert Reasoning (KASSPER) program. Our objective is to demonstrate an embedded processor and some algorithms capable of real-time space-time adaptive processing (STAP) enhanced by a-priori knowledge of terrain types, locations of clutter discretes and road layouts. The immediate goal is to realize a baseline system, which is a conventional STAP chain making no use of a-priori information. It is designed to allow the entire KASSPER community to insert new algorithm features that will exploit a-priori knowledge. This paper describes both the hardware and the algorithms that are being coded to realize the baseline system. This baseline algorithm suite will provide a reasonable starting point for adding a-priori knowledge in the form of new training schemes or new STAP algorithms to improve target detectability near the mainbeam clutter ridge.

关键词： Space time adaptive processing

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A Machine-Learning-based approach to Direction-of-arrival Sectorization using Spherical Microphone array 13

A Machine-Learning-based approach to Direction-of-arrival Se...

引用

13rd IEEE sensor array and multichannel signal processing workshop (SAM)

作者： Nnonyelu, Chibuzo Joseph Jiang, Meng Adamopoulou, Marianthi Lundgren, Jan Mid Sweden Univ STC Res Ctr Sundsvall Sweden

ISBN: (纸本)9798350344820;9798350344813

Direction of arrival estimation using the spherical microphone array usually requires a search in the whole 3-dimensional space, hence computationally demanding. This work presents a machine learning approach to sectorizing the 3-dimensional space, as an intermediate step for direction-of-arrival estimation using spherical microphone array. A new feature based on the outer product of spherical harmonic vectors was proposed for the classification. This spherical harmonic matrix nominally offers lower dimensionality compared to the commonly used covariance matrix of received data. The dimension of the input matrix was further reduced using the neighborhood component analysis. The extracted features were then used to train a support vector machine (SVM), 2-layer multilayer perceptron (MLP) and a convolutional neural network (CNN) for classification purposes. The results show that the models were able to classify the spherical sector with up to 90% accuracy for all models and number of sectors under consideration. Also, the MLP and CNN trained with simulated samples were able to accurately classify samples from real data that were not included in training samples.

关键词： Spherical array direction of arrival estimation spherical harmonics machine learning

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DETECTION OF FALSE DATA INJECTION ATTACKS IN UNOBSERVABLE POWER SYSTEMS BY LAPLACIAN REGULARIZATION 12

DETECTION OF FALSE DATA INJECTION ATTACKS IN UNOBSERVABLE PO...

引用

IEEE 12th sensor array and multichannel signal processing workshop (SAM)

作者： Dabush, Lital Routtenberg, Tirza Ben Gurion Univ Negev Sch Elect & Comp Engn Beer Sheva Israel

ISBN: (纸本)9781665406338

The modern electrical grid is a complex cyber-physical system, and thus is vulnerable to measurement losses and attacks. In this paper, we consider the problem of detecting false data injection (FDI) attacks and bad data in unobservable power systems. Classical bad-data detection methods usually assume observable systems and cannot detect stealth FDI attacks. We use the smoothness property of the system states (voltages) w.r.t. the admittance matrix, which is also the Laplacian of the graph representation of the grid. First, we present the Laplacian-based regularized state estimator, which does not require full observability of the network. Then, we derive the Laplacian-regularized generalized likelihood ratio test (LR-GLRT). We show that the LR-GLRT has a component of a soft high-pass graph filter applied to the state estimator. Numerical results on the IEEE 118-bus system demonstrate that the LR-GLRT outperforms other detection approaches and is robust to missing data.

关键词： Graph signal processing (GSP) bad-data detection false data injection (FDI) attacks power system state estimation (PSSE) attack detection

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