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检索条件"任意字段=Conference on Sensor Fusion - Architectures, Algorithms, and Applications"

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Advances in radiation active pixel sensors (RAPS) architectures

Advances in radiation active pixel sensors (RAPS) architectu...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： A. Marras G. Matrella P. Placidi M. Petasecca D. Passeri P. Ciampolini G.M. Bilei L. Servoli Dipartimento di Ingegneria dellInformazione (D.I.I.) Università di Parma Parma Italy Istituto Nazionale di Fisica Nucleare (I.N.F.N.) Sezione di Perugia Perugia Italy Dipartimento di Ingegneria Elettronica e dellInformazione (D.I.E.I.) Università di Perugia S Lucia Canetola Perugia Italy

This work aims at exploring and validating the adoption of standard fabrication processes for the realization of CMOS active pixel sensor, for particle detection purposes. The goal is to implement a single-chip, complete radiation sensor system, including on a CMOS IC the sensitive devices, read-out and signal processing circuits. The possibility of including versatile and performing circuitry allows for the evaluation of innovative active pixel architectures, different read-out strategies, and complex data management algorithms. A prototype chip (RAPS01) based on these principles has been already fabricated, and a complete chip characterization has been carried out; in particular, the evaluation of the sensitivity of the sensor response on the actual operating conditions was estimated, as well as uniformity response analysis. Optimization and tailoring of the sensor structures for specific applications are being evaluated in the design of the next generation chip (RAPS02). In particular, sparse read-out approach and power consumption are considered, introducing some circuit improvement, and discussing the organization and design of a new architecture. Basic features of the new chip includes: digitally configurable readout, power-switching techniques, fault-tolerant circuitry, multi-mode access (i.e., either sparse of line-scan readout). Thanks to the intrinsic flexibility of CMOS design, perspective application different from HEP experiments, can be evaluated as well.

关键词： CMOS process Signal processing algorithms sensor phenomena and characterization Fabrication sensor systems CMOS integrated circuits Performance evaluation Innovation management Prototypes Design optimization

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2004 IEEE 60th Vehicular Technology conference. VTC2004-Fall (IEEE Cat. No.04CH37575)

2004 IEEE 60th Vehicular Technology Conference. VTC2004-Fall...

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IEEE conference on Vehicular Technology (VTC)

The following topics are dealt with: radio propagation and channel modeling; smart antennas; antenna arrays and beamforming; multi-carrier modulation; OFDM; CDMA; wideband CDMA; cellular radio systems; access control protocols; channel assignment and reservation schemes; wideband communications; wireless security; modulation and coding; MIMO systems; synchronization and equalization; diversity and combining; multiuser detection; software radio; transceiver design; receiver technology; turbo codes; interference cancellation; space-time technology; LDPC codes; mobile multimedia technology; QoS assurance; ad hoc networks; mobile data/computing/navigation networks; wireless standards and protocols; wireless sensor/network security; beyond 3G; broadband mobile communication systems; radio resource management; wireless location estimation; wireless LAN applications; space-time signal processing for communications; adaptive signal processing for communications; DSP implementations; spurious emission and RFI; spectrum engineering and EMC management; EMC testing; mobile satellite communications; mobile satellite networking; mobile satellite navigation; E911 and cellular/PCS communications; GPS signal and users equipment; nonlinear filters and chaos theory in security, positioning and communications systems; modeling of RF/baseband equipment, non-linear effects, and RF interference; fading channels; antenna systems simulation; multiple access systems; spread spectrum systems; network architectures; network simulation; RF and laser sensors; sensors for space awareness applications; microminiature or proliferated sensor systems; sensor data exploitation and fusion; NLOS propagation effects; handover; short range communications analysis; wireless applications.

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fusion of vision, 3D gyro and GPS for camera dynamic registration

Fusion of vision, 3D gyro and GPS for camera dynamic registr...

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International conference on Pattern Recognition

作者： Z. Hu U. Keiichi H. Lu F. Lamosa Computer Science Department Kumamoto University Japan NLPR Institute of Automation Chinese Academy and Sciences China Computer Recognition Systems UK

This paper presents a novel framework of hybrid camera pose tracking system for outdoor navigation system. Traditional vision based or inertial sensor based solutions are mostly designed for well-structured environment, which is however unavailable for most outdoor uncontrolled applications. Our system combines vision, GPS and 3D inertial gyroscope sensors to obtain accurate and robust camera pose estimation result. The fusion approach is based on our PMM (parameterized model matching) algorithm, in which the road shape model is derived from the digital map referring to GPS absolute road position, and matches with road features extracted from the real image. Inertial data estimates the initial state of searching parameters, and also serves as relative tolerance to stable the pose output. The algorithms proposed in this paper are validated with the experimental results of real road tests under different road conditions.

关键词： Global Positioning System Cameras Roads Machine vision Navigation Gyroscopes sensor systems Robustness Shape Feature extraction

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Application of the Cramer-Rao lower bound for bearing estimation to STAP performance studies

Application of the Cramer-Rao lower bound for bearing estima...

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IEEE National conference on Radar

作者： G.A. Showman W.L. Melvin D.J. Zywicki Sensors and Electromagnetic Applications Laboratory Georgia Tech Research Institute Georgia Institute of Technology GA USA

The performance of space-time adaptive processing (STAP) radar is a strong function of array geometry and the particular algorithm implementation. Traditionally, detection performance has been of paramount importance, but recently interest has grown in the accuracy of target direction of arrival (DOA) estimates. This paper describes an evaluation of the Cramer-Rao lower bound (CRLB) for DOA accuracy. The CRLB is useful for bounding the bearing estimation performance of candidate array architectures and STAP algorithms, but often generates counter-intuitive results. Anomalous characteristics of the CRLB are investigated, explained, and placed in the context of maximum likelihood estimation (MLE) properties. The end product is a tool that can be applied to comparative analyses with confidence. The paper concludes by demonstrating the utility of the CRLB in both array and algorithm studies.

关键词： Direction of arrival estimation Signal to noise ratio Maximum likelihood estimation Geometry sensor arrays Spaceborne radar Doppler radar Radar antennas Parameter estimation Radar detection

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Impact of expanding the multiplicity of information sources on fusion system architecture and fusion logic options

Impact of expanding the multiplicity of information sources ...

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conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2003

作者： Dasarathy, BV

ISBN: (纸本)0819449598

Various fusion system architectures postulated and studied previously for environments with two and three data sources are further explored in this study to bring out the expanding scope for delineating the architecture options for multiple data source environments. A spectrum of single and multi-stage fusion architecture options are defined. The potential for such expansion of choices is illustrated using the scenario with four data sources as an example. Potential problem environments corresponding to this range of two to four data sources are identified. Various fusion logic strategies that can be brought to bear for the analysis of these fusion architecture options, when these fusion architectures are employed for Decisions In - Decision Out (DEI-DEO) fusion, are also discussed.

关键词： sensor fusion decision fusion fusion strategies multi-sensor suites

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A simple test-bed for real-time sensor-to-shooter applications of decentralised data fusion

A simple test-bed for real-time sensor-to-shooter applicatio...

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conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2003

作者： Binns, L Cooke, A Fryers, S Greenway, P Mullin, D Nicholson, D Valachis, D BAE Syst Adv Technol Ctr Bristol BS34 7QW Avon England

ISBN: (纸本)0819449598

In this paper we describe a simple physical test-bed, developed to allow practical experimentation in the use of Decentralised Data fusion (DDF) in sensor-to-shooter applications. Running DDF over an ad hoc network of distributed sensors produces target location information. This is used to guide a Leica laser-tracker system to designate currently tracked targets. We outline how the system is robust to network and/or node failure. Moreover, we discuss the system properties that lead to it being completely "plug-and-play", as, like the distributed sensor nodes, the "shooter" does not require knowledge of the overall network topology and can connect at any point.

关键词： data fusion network centric warfare ad-hoc networks sensor-to-shooter

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Multi-sensor fusion using an adaptive multi-hypothesis tracking algorithm

Multi-sensor fusion using an adaptive multi-hypothesis track...

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conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2003

作者： Kester, LJHM TNO Phys & Elect Lab NL-2509 JG The Hague Netherlands

ISBN: (纸本)0819449598

The purpose of a tracking algorithm is to associate data measured by one or more (moving) sensors to moving objects in the environment. The state of these objects that can be estimated with the tracking process depends on the type of data that is provided by these sensors. It is discussed how the tracking algorithm can adapt itself, depending on the provided data, to improve data association. The core of the tracking algorithm,is an extended Kalman filter using multiple hypotheses for contact to track association. Examples of various sensor suites of radars, electro-optic sensors and acoustic sensors are presented.

关键词： sensor fusion tracking data association MHT

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The system parameter fusion principle and its application to fuzzy pattern recognition

The system parameter fusion principle and its application to...

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conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2003

作者： Pu, QG Univ Sci & Technol Ctr Comp Suzhou 215011 Jiangsu Peoples R China

ISBN: (纸本)0819449598

Modern technology provides a great amount of information. In computer monitoring systems or computer control systems, especially real-time expert systems, in order to have the situation in hand, we need one or two parameters to express the quality and/or security of the whole system. This paper presents a principle for synthesizing measurements of multiple system parameters into a single parameter and its application to fuzzy pattern recognition.

关键词： sensor fusion fuzzy pattern recognition computer monitoring systems computer control systems realtime expert systems

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Proceedings of SPIE: Multisensor, Multisource Information fusion: architectures, algorithms, and applications 2003

Proceedings of SPIE: Multisensor, Multisource Information Fu...

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Multisensor. Multisource Information fusion: architectures, algorithms, and applications 2003

This Volume 5099 of the conference proceedings contains 45 papers. Topics discussed include classification and decision fusion, image level fusion, approximate reasoning methodologies, estimation and tracking, fusion methodologies, evolving concepts and methodologies, architectures and related topics, industrial, medical and speech applications, defense applications, sensor/resource management and related topics.

关键词： sensor data fusion

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Adaptive multimodal biometric fusion algorithm using particle swarm

Adaptive multimodal biometric fusion algorithm using particl...

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conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2003

作者： Veeramachaneni, K Osadciw, LA Varshney, PK Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA

ISBN: (纸本)0819449598

This paper introduces a new algorithm called Adaptive Multimodal Biometric fusion Algorithm" (AMEBF), which is a combination of Bayesian decision fusion and particle swarm optimization. A Bayesian framework is implemented to fuse decisions received from multiple biometric sensors. The system's accuracy improves for a subset of decision fusion rules. The optimal rule is-a function of the error cost and a priori probability of an intruder This Bayesian framework formalizes the design of a system that can adoptively increase or reduce the security level. Particle swarm optimization searches the decision and sensor operating points (i.e. thresholds) space to achieve the desired security level: The optimization function aims to minimize the cost in a Bayesian decision fusion. The particle swarm optimization algorithm results in the fusion rule and the operating points of sensors at which the system can work This algorithm is important to systems designed with varying security needs and user access requirements. The adaptive algorithm is found to achieve desired security level and switch between different rules and sensor operating points for varying needs.

关键词： Bayesian decision fusion particle swarm optimization multimodal biometrics

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