Institut für Nachrichtentechnik

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1 Universität Rostock Institut für Nachrichtentechnik Professor Dr.-Ing. Erika Müller Professor Dr.-Ing. Tobias Weber Professor Dr.-Ing. Volker Kühn Web:

2 Kontaktdaten Anschrift Richard-Wagner-Straße 31 (Haus 8) Rostock-Warnemünde Professor Dr.-Ing. Erika Müller Telefon: Professor Dr.-Ing. Tobias Weber Telefon: Professor Dr.-Ing. Volker Kühn Telefon:

3 Institut für Nachrichtentechnik Signaltheorie und digitale Signalverarbeitung Prof. Dr.-Ing. habil. Erika Müller Nachrichtentechnik Prof. Dr.-Ing. habil. Volker Kühn Hochfrequenztechnik Prof. Dr.-Ing. habil. Tobias Weber Maritime Elektronik Prof. Dr.-Ing. habil. Gert Wendt 3

4 Institut für Nachrichtentechnik Richard-Wagner-Straße 31 Haus Rostock-Warnemünde 14 wissenschaftliche Mitarbeiter 5 nichtwissenschaftliche Mitarbeiter 4

5 Lehre des Instituts Beteiligung an den Studiengängen Elektrotechnik Informationstechnik / Technische Informatik Wirtschaftswissenschaften Informatik Computational Engineering Statistische Nachrichtentheorie Digitale Signalverarbeitung Fachrichtungen Nachrichtentechnik Hochfrequenztechnik Signalverarbeitung und -theorie Vermittlungstechnik (Regionale CISCO-Netzwerkakademie) 5

6 Cisco Academy Program Security 1 Advanced Routing 2 Remote Access CCIE IT1 HP UNIX Sun Fundamentals Courses IT2 HP JAVA Sun FVDC Panduit 1 Basics 2 Routing CCNA 3 Switching 4 WAN Career 3 Multilayer Switching Wireless Network Installer Basic IT Support System Admin Software support / dev CCNP Career 4 Trouble Shooting SMB Networking Career Enterprise Networking 6

7 Research Areas Mobile Radio Communications Mobile radio systems (WLAN, UMTS, LTE, ) Sensor networks High frequency technology, modeling of radio channels Physical layer: transmission strategies, detection algorithms Localization in radio networks, multiple antenna concepts Digital Signal processing Processing and compression of multimedia data (Image, 2D video, stereo, 3D video, real-time video codecs) Watermarking for authentication of image, video and audio data 7

8 Mobile Radio Systems Evolution mobility& range 2G 2.5G 3G, 3G evolution high speed vehicular 4G cellular communication systems?? vehicular pedestrian indoor fixed GSM GPRS EDGE UMTS CDMA2000 WLAN OFDM data rates > 100 MBit/s?? data rate (Mbit/s) 8

9 Modeling Mobile Radio Channels Realistic channel models for evaluation of transmission concepts and detection algorithms required Mobile radio channels are stochastic processes Statistical parameters for parameterization Multiple antenna systems: characterization of spatial properties important burst length: 1.6 ms f t 20 MHz 9

10 Indoor-Measurements 0 10 * log 10 (E(L) / E tot ) / db corridor laboratory random L Energy E(L) of first L dimensions normalized on total energy 10

11 Simulation of Communication Systems Communication networks are very complex systems Partitioning into OSI layers (physical layer application layer) Analysis generally practicable only for subsystems (single or few layers) Cross-Layer Approach: different time scales Determining relevant parameters by modeling and simulation of communication systems Error rates (simulation of rare events) Latencies and delay jitter Throughput Parallelization Solving multi-dimensional optimization problems Optimal resource allocation in networks 11

12 Cellular Networks BS MT cell core network 12

13 Heterogeneous Access Systems AP2 broadband access networks Mobile Broadband Access unified use of services everywhere Wireless Broadband Access Broadband Access converged infrastructure of access networks mobile wireless fixed AAA... Mobility HAM QoS Mgmt. overall system control HAM: Heterogeneous Access Management system assistance for services Fixed Broadband Access 13

14 Heterogeneous Access Manager (HAM) Choice of access network by Heterogeneous Access Manager Resources mapping QoS Bandwidth, capacity Transmit power, SNR Modulation Coding MIMO techniques Propagation conditions Required data rate max. latency max. delay jitter tolerable error rates Parameter space especially for MIMO systems is large 14

15 Modeling, Simulation and Implementation Hardware in the Loop Combination of simulation environments and real-time hardware Signal generation and detection including synchronization is performed offline Physical transmission with RF up and down conversion is done in real time Real physical effects are considered Flexibility of simulation environment is maintained signal generation signal analyzer network analyzer 15

16 MASI Multiple Antenna System for ISM Transmission Tx (offline processing) Rx (offline processing) MIMO CHANNEL signal generation I/Q-RF-transformation RF-I/Q-transformation signal acquisition 16

17 Signalverarbeitung Datenkompression Watermarking Analyse Modellierung Simulation: Algorithmenentwicklung und Implementierung Videodatenkompression: Skalierbarkeit (räumliche/zeitliche Auflösung, Qualität) und Echtzeitfähigkeit für mobile Anwendungen Distributed Videocoding für wireless Sensornetzwerke: Energieeffizienz und Flexibilität Content-Based Watermarking für Bild-, Video- und Audio-Daten Schutz der Authentizität (Feststellen unerlaubter Manipulationen) Schutz des geistigen Eigentums (Verhinderung Raubkopien) Robuste Algorithmen gegen Manipulationen, Attacken 17

18 Prototypimplementierung: Sichere Kamera Anwendung im Landesforschungsschwerpunkt IuK Analyse - Konzept - Algorithmus Optimierung Implementierung Normale Signalverarbeitung ist erlaubt (z.b. Komprimierung) Fälschungen werden erkannt (z.b. Manipulation der Bildszene) 18

19 Soft- und Hardwarearchitektur für Real-Time-Multistandard- Video-Decoder (MPEG-1,MPEG-2,MPEG-4,H.263,H.264) Multiprozessor-Konzept für alle Standards gemeinsam nutzbar, auch H.264 in HDTV1080 echtzeitfähig Rund 100x schneller als Referenzsoftware 19