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IEEE International Conference on Acoustics, Speech and signal processing

作者： Michael Lunglmayr Christoph Unterrieder Mario Huemer Klagenfurt University Embedded Systems and Signal Processing 9020 Klagenfurt Austria Johannes Kepler University Linz Institute of Signal Processing 4040 Linz Austria

ISBN: (纸本)9781479928941

We present a novel iterative algorithm for approximating the linear least squares solution with low complexity. After a motivation of the algorithm we discuss the algorithm's properties including its complexity, and we present theoretical results as well as simulation based performance results. We describe the analysis of its convergence behavior and show that in the noise free case the algorithm converges to the least squares solution.

关键词： Iterative algorithms Least squares method Solutions algorithms Complexity simulating motivation Solution

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FFT splitting for improved FPGA-based acquisition of GNSS signals

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International Journal of Navigation and Observation 2015年第1期2015卷

作者： Leclère, Jérôme Botteron, Cyril Landry, René J. Farine, Pierre-André Electronics and Signal Processing Laboratory (ESPLAB) École Polytechnique Fédérale de Lausanne (EPFL) Neuchâtel 2000 Switzerland Laboratory of Space Technologies Embedded Systems Navigation and Avionic (LASSENA) École de Technologie Supérieure (ÉTS) Montréal H3C 1K3 QC Canada

With modern global navigation satellite system (GNSS) signals, the FFT-based parallel code search acquisition must handle the frequent sign transitions due to the data or the secondary code. There is a straightforward solution to this problem, which consists in doubling the length of the FFTs, leading to a significant increase of the complexity. The authors already proposed a method to reduce the complexity without impairing the probability of detection. In particular, this led to a 50% memory reduction for an FPGA implementation. In this paper, the authors propose another approach, namely, the splitting of a large FFT into three or five smaller FFTs, providing better performances and higher flexibility. For an FPGA implementation, compared to the previously proposed approach, at the expense of a slight increase of the logic and multiplier resources, the splitting into three and five allows, respectively, a reduction of 40% and 64% of the memory, and of 25% and 37.5% of the processing time. Moreover, with the splitting into three FFTs, the algorithm is applicable for sampling frequencies up to 24.576 MHz for L5 band signals, against 21.846 MHz with the previously proposed algorithm. The algorithm is applied here to the GPS L5 and Galileo E5a, E5b, and E1 signals. © 2015 Jérôme Leclère et al.

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Battery state-of-charge estimation prototype using EMF voltage prediction

Battery state-of-charge estimation prototype using EMF volta...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： Christoph Unterrieder Michael Lunglmayr Stefano Marsili Mario Huemer Institute of Networked and Embedded Systems Klagenfurt University Klagenfurt Austria Infineon Technologies Austria Villach Austria Institute of Signal Processing Johannes Kepler University Linz Linz Austria

ISBN: (纸本)9781479934331

A reliable knowledge of cell parameters like the state-of-charge (SoC) is essential for the optimization of battery-powered applications. Usually, during relaxation (the phase of no or low loads) the SoC is determined based on the measurement of the battery's electro-motive force (EMF). To obtain a reliable measurment, it is required that the battery voltage transient is in a well-relaxed state, which is rarely reached in practice (e.g. due to periodic discharge activities). In this paper, a predictive methodology is presented which is able to forecast the EMF and therewith the SoC already during a not well-relaxed state of the voltage transient. A nonlinear relaxation voltage model is reformulated such that the problem can be treated as a linear least squares estimation problem. Based on this estimation, the performance is evaluated with respect to the following aspects: prediction time, current rate influence, SoC influence, cell-to-cell deviation, or rather aging and temperature effects. Experimental results are presented for a fixed-point implementation of the estimation scheme on a CY8CKIT-050 PSOC5 programmable system on chip. For validation, measurements of 2.25Ah Sanyo UR18650A lithium cells have been used. It is shown that the presented approach offers an improved re-initialization methodology for the Coulomb counting method, and that it clearly outperforms the usual EMF-measurement based SoC determination method.

关键词： Batteries System-on-chip Estimation Transient analysis Battery charge measurement Temperature measurement Voltage measurement

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CRNTC+: A smartphone-based sensor processing framework for prototyping personal healthcare applications 13

CRNTC+: A smartphone-based sensor processing framework for p...

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2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2013

作者： Spina, G. Roberts, F. Weppner, J. Lukowicz, P. Amft, O. ACTLab Signal Processing Systems TU Eindhoven Netherlands Embedded Intelligence DFKI/University of Kaiserslautern Germany

ISBN: (纸本)9781936968800

While smartphone apps for health monitoring and patient support are of great interest to care providers and patients alike, suitable development and evaluation frameworks are currently lacking. We present and evaluate an Android open-source smartphone framework CRNTC+ for sensors data acquisition, signal processing, pattern analysis, interaction and feedback, based on the Context Recognition Network Toolbox (CRNT). CRNTC+ extends the original CRNT by providing components to read smartphone and external sensor data, supporting annotations, and various output components. Here, we formally evaluate CRNTC+ regarding extensibility, scalability, and energy consumption. We present study results where CRNTC+ was deployed in an application to detect epileptic seizures. Results showed that CRNTC+ is well-suited for prototyping health applications in real-life, where online sensor data recording and recognition is needed. © 2013 ICST.

关键词： Smartphones

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Distributed object tracking based on square root cubature H-infinity information filter

Distributed object tracking based on square root cubature H-...

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International Conference on Information Fusion

作者： Venkata Pathuri Bhuvana Mario Huemer Carlo S. Regazzoni Department of Electrical Electronics and Telecommunications Engineering and Naval Architecture University of Genova Alpen Adria University Institute of Networked and Embedded Systems Klagenfurt Austria johannes Kepler University Institute of Signal Processing Linz Austria Universita degli Studi di Genova Genova Liguria IT

Several non-linear state estimation methods such as extended Kalman filter, cubature Kalman filter, and unscented Kalman filter are used to track objects in visual sensor networks. These conventional non-linear state estimation methods require the accurate knowledge of the object's initial conditions, process and measurement models, and corresponding noise characteristics. Often, the object trackers used in a visual sensor networks may not be provided with this knowledge. In this work, we propose a square root cubature H¿ information Kalman filter (SCHIF) based distributed object tracking algorithm. The H¿ method requires neither the exact knowledge of noise characteristic nor accurate process model. The information filters can be used without the knowledge of accurate initial conditions and it also makes the measurement update step computationally less complex in the distributed process. Finally, the square root version makes the filter numerically stable. Furthermore, the cameras in the network exchange their local estimates with other cameras. In the last step, the cameras fuse the received local estimates to obtain a global estimate of the object. Hence, the proposed method constitutes a more robust and efficient solution for the targeted application compared to the traditional methods.

关键词： Cameras Vectors Noise Object tracking Noise measurement Covariance matrices State estimation

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Diagnostic category leakage in helper data schemes for biometric authentication

Diagnostic category leakage in helper data schemes for biome...

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10th International Conference on Security and Cryptography, SECRYPT 2013 - Part of 10th International Joint Conference on E-Business and Telecommunications, ICETE 2013

作者： De Groot, Joep Škorić, Boris De Vreede, Niels Linnartz, Jean-Paul Signal Processing Systems Eindhoven University of Technology Eindhoven Netherlands Security and Embedded Networked Systems Eindhoven University of Technology Eindhoven Netherlands

ISBN: (纸本)9789898565730

A helper data scheme (HDS) is a cryptographic primitive that extracts a high-entropy noise-free secret string from noisy data, such as biometrics. A well-known problem is to ensure that the storage of a user-specific helper data string in a database does not reveal any information about the secret. Although Zero Leakage systems (ZSL) have been proposed, an attacker with a priori knowledge about the enrolled user can still exploit the helper data. In this paper we introduce diagnostic category leakage (DCL), which quantifies what an attacker can infer from helper data about, for instance, a particular medical indication of the enrolled user, her gender, etc. The DCL often is non-zero. Though small per dimension, it can be problematic in high-dimensional biometric authentication systems. Furthermore, partial a priori knowledge on of medical diagnosis of the prover can leak about the secret. Copyright © 2013 SCITEPRESS.

关键词： Biometrics

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Diagnostic category leakage in helper data schemes for biometric authentication

Diagnostic category leakage in helper data schemes for biome...

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International Conference on Security and Cryptography (SECRYPT)

作者： Joep de Groot Boris Škorić Niels de Vreede Jean-Paul Linnartz Signal Processing Systems Eindhoven University of Technology Eindhoven The Netherlands Security and Embedded Networked Systems Eindhoven University of Technology Eindhoven The Netherlands

关键词： Quantization (signal) Feature extraction Authentication Privacy Mutual information Discrete cosine transforms Estimation

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On the Trade-off between Power Consumption and Time Synchronization Quality for Moving Targets under Large-Scale Fading Effects in Wireless Sensor Networks

On the Trade-off between Power Consumption and Time Synchron...

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The 9th International Conference on Wireless Communications,Networking and Mobile Computing(WICOM 2013)

作者： Pablo Briff Leonardo Rey Vega Ariel Lutenberg Fabian Vargas Embedded Systems Laboratory Faculty of EngineeringUniversity of Buenos Aires Signal Processing and Communications Laboratory Faculty of EngineeringUniversity of Buenos Aires

In this work we find a lower bound on the energy required for synchronizing moving sensor nodes in a Wireless Sensor Network (WSN) affected by large-scale fading, based on clock estimation techniques. The energy required for synchronizing a WSN within a desired estimation error level is specified by both the transmit power and the required number of messages. In this paper we extend our previous work introducing nodes' movement and the average message delay in the total energy, including a comprehensive analysis on how the distance between nodes impacts on the energy and synchronization quality trade-off under large-scale fading effects.

关键词： Wireless Sensor Networks Clock Offset Estimation Time Synchronization Wireless Channel Fading Moving Targets

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On the Trade-off between Power Consumption and Time Synchronization Quality for Moving Targets under Large-Scale Fading Effects in Wireless Sensor Networks

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Communications and Network 2013年第3期5卷 498-503页

作者： Pablo Briff Leonardo Rey Vega Ariel Lutenberg Fabian Vargas Embedded Systems Laboratory Faculty of Engineering University of Buenos Aires Argentina Signal Processing and Communications Laboratory Faculty of Engineering University of Buenos Aires Argentina Signals and Systems for Computing Group Faculty of Engineering Catholic University PUCRS Brazil

In this work we find a lower bound on the energy required for synchronizing moving sensor nodes in a Wireless Sensor Network (WSN) affected by large-scale fading, based on clock estimation techniques. The energy required for synchronizing a WSN within a desired estimation error level is specified by both the transmit power and the required number of messages. In this paper we extend our previous work introducing nodes’ movement and the average message delay in the total energy, including a comprehensive analysis on how the distance between nodes impacts on the energy and synchronization quality trade-off under large-scale fading effects.

关键词： Wireless Sensor Networks Clock Offset Estimation Time Synchronization Wireless Channel Fading Moving Targets

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Distributed object tracking based on cubature Kalman filter

Distributed object tracking based on cubature Kalman filter

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Asilomar Conference on signals, systems & Computers

作者： Venkata Pathuri Bhuvana Melanie Schranz Mario Huemer Bernhard Rinner Department of Marine Engineering University of Genova Italy Alpen Adria University Institute of Networked and Embedded Systems Klagenfurt Austria Johannes Kepler University Institute of Signal Processing Linz Austria

ISBN: (纸本)9781479923915

In this work, we propose the cubature Kalman filter (CKF) based distributed object tracking algorithm in a visual sensor network (VSN). A VSN consists of several distributed smart cameras having the ability to process and analyze the retrieved data locally. The first objective is to optimize the tracking process within the VSN through the CKF. Under the conditions of non-linear motion and observation model, the CKF based method features a considerably better tracking accuracy than the extended Kalman filter (EKF) based method in terms of the mean square error (MSE). Although, the particle filter (PF) based method shows better performance than the CKF, it is computationally very complex. The second objective is to optimize the object tracking by aggregating the tracking results from multiple cameras. Assuming the VSN is a multi-camera network with overlapping field of views (FOVs), cameras having the same object in their FOV exchange their local estimates of the object's position and velocity. During the estimation process, each of the participating cameras aggregates the received states via a consensus algorithm. Thus, the object's real state is more accurately predicted by the resulting joint state than it would be by processing only a single camera's observation.

关键词： Cameras Object tracking Kalman filters Accuracy Complexity theory Smart cameras

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