H.-P. Bernhard

H.-P. Bernhard
Silicon Austria Labs GmbH /Johannes Kepler University Linz · Research Unit Wireless Communication / Institut for Communication and RF Systems

DI Dr.

About

44
Publications
5,469
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
245
Citations
Citations since 2016
35 Research Items
155 Citations
2016201720182019202020212022010203040
2016201720182019202020212022010203040
2016201720182019202020212022010203040
2016201720182019202020212022010203040
Additional affiliations
September 1992 - September 1998
TU Wien
Position
  • Research Assistant

Publications

Publications (44)
Article
Advanced industrial communication systems are fundamental pillars of the ongoing digital transformation of industrial systems. Initiatives like the Industry 4.0 and the Industrial Internet Consortium aim at increasing the overall production efficiency leveraging on fast, reliable, and deterministic communication technologies. The improvements of in...
Conference Paper
This paper describes the measurement setup for the proliferation of the vehicular communication systems in operating cars. The setup builds on a communication sniffer which detects cooperative awareness messages broadcast from ETSI ITS-G5 systems, decodes them and records the public information in these messages. The experimental characterization o...
Article
Full-text available
Nowadays Internet-of-Things and Industry 4.0 devices are often connected wirelessly. Current wireless sensor network (WSN) deployments are relying in most cases on the industrial, scientific and medical (ISM) bands without centralized resource scheduling. Thus, each device is a potential source of interference to other devices, both within its own...
Article
Full-text available
Many emerging applications require a higher level of flexibility, modularity, and efficiency but are dependent on advancements in communication infrastructure and distributed computing. Time-sensitive networking (TSN) standards aim at providing vendor agnostic, reliable, and deterministic communications over the Ethernet, but lack in flexibility an...
Conference Paper
Full-text available
Functional safety has become a crucial part of industrial automation. With industry environments being connected more than ever, achieving required functional safety depends on establishing safety-critical communication. Numerous application layer safety protocols have been developed to ensure compliance with functional safety standards for wired c...
Preprint
Full-text available
Industrial wireless sensor networks are becoming crucial for modern manufacturing. If the sensors in those networks are mobile, the position information, besides the sensor data itself, can be of high relevance. E.g. this position information can increase the trustability of a wireless sensor measurement by assuring that the sensor is not physicall...
Preprint
Full-text available
For Cyper-Physical Production Systems (CPPS), localization is becoming increasingly important as wireless and mobile devices are considered an integral part. While localizing targets in a wireless communication system based on the Received Signal Strength Indicators (RSSIs) is a usual solution, it is limited by sensor quality. We consider the scena...
Article
Full-text available
Industrial Internet of Things (IIoT) applications require reliable and efficient wireless communication. Assuming dense Wireless Sensor Networks (WSNs) operating in a harsh environment, a concept of a Time Division Multiple Access (TDMA) based WSN enriched with Electronically Steerable Parasitic Array Radiator (ESPAR) antennas is proposed and exami...
Article
Full-text available
Minimized and nearly deterministic end-to-end latency facilitates real-time data acquisition and actuator control. In addition, defined latency is an integral part of quality oriented service in order to get closer to the reliability of wired networks and at the same time take advantage of wireless networking. This paper introduces a QoS routing pr...
Article
Unique word-orthogonal frequency division mul-tiplexing (UW-OFDM) is known to provide various performance benefits over conventional OFDM using cyclic prefixes (CP). Most important, UW-OFDM features excellent spectral sidelobe suppression properties and an outstanding bit error ratio performance. Current research has mainly focused on principle per...
Preprint
Full-text available
A continually growing number of sensors is required for monitoring industrial processes and for continuous data acquisition from industrial plants and devices. The cabling of sensors represent a considerable effort and potential source of error, which can be avoided by using wireless sensor nodes. These wireless sensor nodes form a wireless sensor...
Conference Paper
Full-text available
We propose to add a monitoring system consisting of so-called path- and guard nodes to industrial wireless sensor network (IWSN), to increase the security level by using RSSI measurements. Via these measurements, the monitoring system determines the presence of a mobile sensor node in a predefined area, which can be used to handle access rights and...
Preprint
Unique word-orthogonal frequency division multiplexing (UW-OFDM) is known to provide various performance benefits over conventional OFDM using cyclic prefixes (CP). Most important, UW-OFDM features excellent spectral sidelobe suppression properties and an outstanding bit error ratio performance. Current research has mainly focused on principle perf...
Article
The Time-Sensitive networks paradigm envisions the integration of Operation Technology and Information Technology in the same network. One of the requirements for building Time-Sensitive networks is sharing a global time along the network. This requirement is especially critical in wireless systems, where there are few robust methods to perform acc...
Article
Full-text available
Smart transducers based on ISO/IEC/IEEE 21450 provide standardized access to sensors and actuators. Hence, no centralized database is needed for the calibration and interpretation of the data collected by transducers. The smart transducer stores and maintains its individual transducer electronic data sheet (TEDS). Whenever transducers are replaced...
Conference Paper
Full-text available
Zusammenfassung Zur Überwachung von industriellen Prozessen und zur laufenden Messdatenerfassungen von Indust-rieanlagen und-Geräten werden immer mehr und mehr Sensoren benötigt. Diese Entwicklung wird vor allem durch industrielle Internet-of-Things (IoT) Anwendungen gleichzeitig ermöglicht und voran-getrieben. Die Verkabelung stellt einen erheblic...
Conference Paper
Full-text available
We present the design of a suite of protocols for wireless sensor networks (WSNs) with respect to a complete life cycle of a WSN node from warehouse to the end of operation. While there are numerous publications on various, usually isolated, aspects of WSNs, the whole life cycle of a node from registration in an automation system via warehouse, cal...
Conference Paper
Full-text available
In many applications the pulse duration of a periodic pulse signal is the parameter of interest. Thereby, the non-band-limited pulse signal is sampled during a finite observation period yielding to aliasing and windowing effects, respectively. In this work, the pulse duration estimation based on the mean value of the samples is considered, and a cl...
Conference Paper
We analyse the use of a ΔΣ-modulator in the nodes of a wireless sensor network, which is a new method to achieve long term synchronization. We consider star topology WSNs (Wireless Sensor Networks) with a central base station and address timing synchronization using low frequency realtime clocks. The WSN uses a beacon driven TDMA-protocol for bidir...
Article
Full-text available
Nonlinear signal processing is now well established both in theory and applications. Nevertheless, very few tools are available for the analysis of nonlinear systems. We introduce the mutual information function (MIF) as a nonlinear correlation function and describe the practicalities of estimating it from data. Even if an estimator is consistent,...
Article
Full-text available
One of the striking questions in prediction theory is this: is there a chance to predict future values of a given signal? Usually, we design a predictor for a special signal or problem and then measure the resulting prediction quality. If there is no a priori knowledge on the optimal predictor, the achieved prediction gain will depend strongly of t...
Article
Die Vorhersage zukünftiger Signalwerte spielt in vielen technischen Anwendungen eine bedeutende Rolle. Mit Hilfe der Informationstheorie läßt sich der maximale Vorhersagegewinn, basierend auf einer reinen Signalanalyse, bestimmen. Dieses Ergebnis wird verwendet, um Prognosemethoden zu bewerten und um zu entscheiden, ob es aufgrund der Signaleigensc...
Conference Paper
Full-text available
This paper presents an in-depth study of nonlinear long-term prediction of speech signals. While previous studies of nonlinear prediction focused on short-term prediction (with only moderate performance advantage over adaptive linear prediction in most cases), successful long-term prediction strongly depends on the nonlinear oscillator framework fo...
Conference Paper
Full-text available
In case of signal or time series prediction, it is important to know if there is any chance for prediction or not. Therefore, the maximum achievable prediction gain is the desired measure used to characterize the future knowledge of a signal. We present a method to evaluate the maximum prediction gain based on the observed signal only. Hence, the p...
Article
Full-text available
In modern signal analysis, chaos-theoretic interpretation is becoming more and more popular. One of the most important parameters of chaotic systems is their information gain or entropy rate. Its measurement provides performance limits for nonlinear signal models in source coding and prediction applications. We have developed a fast algorithm for t...

Network

Cited By

Projects

Projects (4)
Project
AI + IoT = AIoT Artificial Intelligence of Things (AIoT) is the natural evolution for both Artificial Intelligence (AI) and Internet of Things (IoT) because they are mutually beneficial. AI increases the value of the IoT through machine learning by transforming the data into useful information, while the IoT increases the value of AI through connectivity and data exchange. Therefore, InSecTT – Intelligent Secure Trustable Things, a pan-European effort with 54 key partners from 12 countries (EU and Turkey), will provide intelligent, secure and trustworthy systems for industrial applications to provide comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together. InSecTT aims at creating trust in AI-based intelligent systems and solutions as a major part of the AIoT. Find more about InSecTT by going to https://www.insectt.eu/
Project
https://silicon-austria-labs.com/en/sal-doctoral-college/ The Silicon Austria Labs – Doctoral College (SAL-DC) is a novel doctoral training programme for researchers focusing on the field of electronic based systems (EBS). SAL coop­er­ates with industry, acad­emic and scien­tific part­ners on a regional, national and inter­na­tional level with the aim to build an excel­lent re­search network and ecosystem for EBS. Fellows benefit from the training in a highly inter­na­tional, inter­dis­ci­pli­nary and inter­sec­toral setting offered by SAL-DC to become future re­search leaders.
Project
Development, production and final testing of complex systems (e.g. hybrid power trains of vehicles) require precise sensors for industrial use. Today usually cables provide energy and communication capability to sensors, which requires a cumbersome cabling and configuration process. Thus, cable-based sensors and measurement equipment are not well suited for flexible and frequently changing applications. It follows, that the use of wireless sensor networks (WSN) is a prerequisite for future intelligent flexible production (“Industry 4.0” or “cyber physical systems”). Currently available WSN solutions, however, are merely capable of providing the required data rates, low cycle times, low latency and high reliability for industrial use. Project FASAN should make distinct progress by developing intelligent energy efficient wireless sensors for capturing highly dynamic signals operated in flexible networks for complex measurement tasks in industrial applications.