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Collaborative classification applications in sensor networks

Collaborative classification applications in sensor networks

引用

2nd ieee sensor array and multichannel signal processing workshop

作者： Meesookho, C Narayanan, S Raghavendra, CS Univ So Calif Dept Elect Engn Los Angeles CA 90089 USA

ISBN: (纸本)0780375513

Distributed sensor networks are a significant technology nowadays. Inexpensive, smart devices with multiple sensors provide opportunities for instrumenting, monitoring and controlling targeting systems. Such sensor nodes have capability for acquiring and embedded-processing of variety of data forms. Collaborative signal processing and fusion algorithms are needed to aggregate the distributed data from among the nodes in the network, including possibly multiple modalities of data within a sensor node, to make decisions in a reliable and efficient manner. One of the important sensor network applications is target classification in battlefields. This paper presents improved moving vehicle target classification performance using data obtained from sensor networks with collaboration both across nodes and within a node in terms of multimodal fusion. Results show that a 50% relative improvement in classification error can be obtained using collaboration both in the case of single vehicle target and those involving multi-vehicle convoys.

关键词： sensor nodes

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Analysis of a tripole array for polarization and direction of arrival estimation

Analysis of a tripole array for polarization and direction o...

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3rd ieee sensor array and multichannel signal processing workshop

作者： Lundbäck, J Nordebo, S Vaxjo Univ Sch Math & Syst Engn S-35195 Vaxjo Sweden

ISBN: (纸本)0780385454

In this paper we evaluate the performance of a Tripole array for estimation of the polarization and one dimensional direction of arrival (DOA). We employ a model based on far-field calculations of a Tripole antenna and completely polarized electromagnetic waves carrying Gaussian distributed signals. The analysis of the performance is based on calculations of the Cramer-Rao Lower Bound (CRLB) for the polarization and DOA estimators. It is seen that the Tripole array is suitable for polarization estimation with or without knowledge of the DOA. It is also seen that the quality of the DOA estimate depends strongly on the polarization state.

关键词： signal processing

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Blind channel estimation in multicode CDMA system with antenna array

Blind channel estimation in multicode CDMA system with anten...

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2nd ieee sensor array and multichannel signal processing workshop

作者： Melvasalo, M Koivunen, V Helsinki Univ Technol Signal Proc Lab FIN-02015 Helsinki Finland

ISBN: (纸本)0780375513

This paper addresses the problem of blind channel estimation in a multicode DS-CDMA system in multipath environment using antenna array at the receiver. Long code CDMA system model is employed. Multicode transmission is used to provide a higher data rate to a mobile user and receiver antenna array improves the signal to interference and noise ratio (SINR). First we extend blind multicode channel estimation methods to CDMA receiver with multiple antennas. Subspace channel estimation is employed with two different pre-processing schemes. We also extend the principal component channel estimation method used for antenna array CDMA receiver to a multicode model. The performances of the proposed methods are compared in simulation using mean square error measure and bit error rates. Different numbers of interfering users are used in simulations and the impact of code selection is considered.

关键词： signal to noise ratio

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A multisource calibration method for phased array radio telescopes

A multisource calibration method for phased array radio tele...

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4th ieee sensor array and multichannel signal processing workshop

作者： Wijnholds, Stefan J. Boonstra, Albert-Jan ASTRON Oude Hoogeveensedijik 4 NL-7991 PD Dwingeloo Netherlands

ISBN: (纸本)1424403081

For low frequency observations (< 300 MHz) the radio astronomical community is currently developing a number of new instruments such as the low frequency array (LOFAR), the Mileura wide field array (MWA) and the primeval structure telescope (PaST). These telescopes require new calibration algorithms since phased arrays require an all-sky approach to imaging and calibration. This implies that the calibration will generally have to deal with a multitude of sources. In this paper we will discuss a muldsource calibration method to estimate the gains and phases of the receiving elements without having to solve for the receiver noise powers at the same time. Our method is able to handle arbitrary known source models. We will show that the proposed algorithm is asymptotically efficient by comparing the results from Monte Carlo simulations with the Craimer-Rao bound for the underlying data model.

关键词： Radio telescopes

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BEAMSPACE ADAPTIVE BEAMFORMING BASED ON PRINCIPLE COMPONENT ANALYSIS

BEAMSPACE ADAPTIVE BEAMFORMING BASED ON PRINCIPLE COMPONENT ...

引用

ieee sensor array and multichannel signal processing workshop

作者： Yu, Lei Liu, Wei Langley, Richard Univ Sheffield Dept Elect & Elect Engn Commun Res Grp Sheffield S10 2TN S Yorkshire England

ISBN: (纸本)9781424422401

A novel adaptive beamforming method is proposed without the knowledge of the direction of arrival of the signal of interest. It is a combination of the traditional beamspace processing method and a recently proposed technique called "Domain Weighted Principal Component Analysis (DW-PCA)" and can be applied to the case where the signal of interest is stronger than the interfering signals in both single-path and multi-path environments. Its effectiveness is verified by simulation results.

关键词： adaptive systems array signal processing multipath channels

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Network Theory-Based Generic Model for Oversampled Receive Antenna arrays

Network Theory-Based Generic Model for Oversampled Receive A...

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

作者： Abramovich, Yuri I. San Antonio, Geoffrey WR Syst Fairfax VA 22030 USA US Navy Res Lab Washington DC 20375 USA

In this paper we derive a generic signal processing model for oversampled linear antenna arrays based on network theory and Nyquist sampling theory. The theoretical model is verified with experimental data collected o... 详细信息

ISBN: (纸本)9781467310710

关键词： Over-the-horizon radar oversampled array HF

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

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

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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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Direction of Arrival Estimation of Harmonic signal Using Single Moving sensor

Direction of Arrival Estimation of Harmonic Signal Using Sin...

引用

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

作者： Hioka, Yusuke Kishida, Masako Univ Canterbury Dept Elect & Comp Engn Christchurch 8140 New Zealand

ISBN: (纸本)9781479914814

A signal processing algorithm for estimating the direction of arrival of a harmonic signal using only a single sensor is proposed. The method is based on the recently invented architecture called CAROUSEL, which makes use of the Doppler effect caused by observing signals using the sensor in a circular motion. The proposed method estimates the direction of arrival from the amount of phase shift of a harmonic component caused by the Doppler effect. Simulation using various harmonic signals including synthesised speech phonemes prove the proposed algorithm is able to accurately estimate the direction of arrival of the harmonic signals.

关键词： DOA estimation sensor array harmonics speech CAROUSEL

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A MLE approach to joint array detection and direction of arrival estimation

A MLE approach to joint array detection and direction of arr...

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2nd ieee sensor array and multichannel signal processing workshop

作者： Bethel, RE Bell, KL Mitre Corp Reston VA USA

ISBN: (纸本)0780375513

The problem of detecting the number of narrowband sources of energy and the direction of arrival (DOA) of each detected source using data received by an array of sensors is investigated. The well known difficulty of an unconstrained maximum likelihood (ML) approach for estimation of dimensionality parameters (e.g., model order) is addressed by using ML signal-to-noise ratio estimates of hypothesized sources as detection statistics rather than using the likelihood function (LF) with a penalty function. Performance comparisons are made to unstructured and structured techniques based on Akaike Information Theoretic Criteria (AIC), Minimum Description Length (MDL), and Bayesian Predictive Density (BPD) methods as well as Minimum Variance Distortionless Response (MVDR). The technique presented here offers better detection performance for multiple closely spaced uncorrelated signals, with the ability to trade off detection and false alarm performance.

关键词： Direction of arrival

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On the consistency of likelihood penalization methods in large sensor networks

On the consistency of likelihood penalization methods in lar...

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

作者： Vallet, Pascal Loubaton, Philippe Mestre, Xavier Lab Informat Gaspard Monge IGM 5 Bd Descartes F-77454 Marne La Vallee France CTTC Barcelona 08860 Spain

ISBN: (纸本)9781467310710

This paper is devoted to the problem of source detection with large sensor networks, in a context where the number of available samples N and the number of antennas M are of the same order of magnitude. We focus here on the popular likelihood penalization (LP) methods, such as Minimum Description Length (MDL) or Akaike Information Criterion (AIC). Such methods have been widely studied in the context where N >> M, and in particular the consistency of the MDL and the inconsistency of the AIC estimator were established in the asymptotic regime where N -> infinity while M remains constant. We propose here an analysis in the asymptotic regime where M, N both converge to infinity at the same rate, and using results from random matrix theory, we establish conditions on the penalty term to ensure consistency of LP methods in this latter regime. As a consequence, we deduce that the MDL method is always inconsistent while the AIC method can be consistent in certain situations.

关键词： sensor networks

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