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In large aircrafts the cabling is very complex and often causes reliability problems. This is specially true for modern In-flight Entertainment (IFE) systems, where every passenger can select a preferred movie, play computer games or be able to communicate with other travellers. Due to EMC problems, wireless communication systems (WiFi etc.) didn't succeed in solving these problems. In this paper an innovative communication system is proposed which perfectly supplements an aircraft IFE system. The key innovation of this system is to use structures that are essential parts of the airframe for data transfer, such as seat rails. Those rails consist of rectangular shapes and could easily be modified to fulfill the function of waveguides for microwaves. A waveguide as part of the seat rail would provide enormous benefits for aircrafts, such as a large bandwidth and consequently high data rates, no problems with EMC, unlimited flexibility of seat configuration, mechanical robustness with associated increase of reliability and a few additional advantages related to aircrafts such as reduction of weight and costs.
Since cabling is very complex and often causes reliability problems in aircrafts new approaches which base on wireless technologies are highly desired. In this paper an innovative communication system is proposed that uses the essential elements of the airframe for data transfer. The communication is based on the wireless standard for Digital Video Broadcasting (DVB) and enables high data rates, which are required for the in-flight entertainment system as an example of use.
The invention concerns a method for spectrum monitoring a given frequency band, in which the spectral power density (S(f)) within the given frequency band is determined for all noise and signal components in the frequency band and, in order to detect the presence of one or more signals within the given frequency band, it is evaluated whether the spectral power density (S(f)) exceeds a threshold value (&lgr;). According to the invention, the threshold value (&lgr;) is calculated in accordance with an estimation of a distribution density (hR(S)) for the noise component of the spectral power density (S(f)) within the given frequency band and in accordance with a predefined value for the false-alarm probability (Pfa).
In this paper we integrate the ideas of network coding and relays into an existing practical network architecture used in a wireless network scenario. Specifically, we use the COPE architecture to test our ideas. Since previous works have focused on the communication aspect at the physical layer level, we attempt to take it one step further by including the MAC layer. Our idea is based on information theoretic concepts developed by Shannon in order to reliably apply network coding to increase the net throughput.
Die Erfindung betrifft ein Verfahren zum Spektrum-Monitoring eines vorgegebenen Frequenzbandes, bei dem die spektrale Leistungsdichte (S(f)) innerhalb des vorgegebenen Frequenzbandes für alle in dem Frequenzband enthaltenen Rausch- und Signalanteile bestimmt wird und für das Detektieren des Vorhandenseins eines oder mehrerer Signale innerhalb des vorgegebenen Frequenzbandes das Überschreiten eines Schwellenwertes (λ) durch die spektrale Leistungsdichte (S(f)) ausgewertet wird. Erfindungsgemäß wird der Schwellenwert (λ) abhängig von einer Schätzung einer Verteilungsdichte (hR(S)) für den Rauschanteil der spektralen Leistungsdichte (S(f)) innerhalb des vorgegebenen Frequenzbandes und einem vorgegebenen Wert für die Falschalarmwahrscheinlichkeit (Pfa) berechnet.
Signal detection and bandwidth estimation, also known as channel segmentation or information channel estimation, is a perpetual topic in communication systems. In the field of radio monitoring this issue is extremely challenging, since unforeseeable effects like fading occur accidentally. In addition, most radio monitoring devices normally scan a wide frequency range of several hundred MHz and have to detect a multitude of different signals, varying in signal power, bandwidth and spectral shape. Since narrowband sensing techniques cannot be directly applied, most radio monitoring devices use Nyquist wideband sensing to discover the huge frequency range. In practice, sensing is normally conducted by an FFT sweep spectrum analyzer that delivers the power spectral density (PSD) values to the radio monitoring system. The channel segmentation is the initial step of a comprehensive signal analysis in a radio monitoring system based on the PSD values. In this paper, a novel approach for channel segmentation is presented that is based on a quantization and a histogram evaluation of the measured PSD. It will be shown that only the combination of both evaluations will lead to an successful automatic channel segmentation. The performance of the proposed algorithm is shown in a real radio monitoring szenario.
Mehrantennensysteme (MIMO: MultipleInputMultipleOutput) sind seit einigen Jahren ein zentrales Forschungsthema in der Funkkommunikation. Die Analyse der Kanalkapazität solcher MIMOSysteme in [1] hat gezeigt, welches enorme Potenzial in dieser Technologie steckt. Dieses Potenzial kann auf verschiedene Arten genutzt werden. MIMOVerfahren können grundsätzlich in zwei Klassen eingeteilt werden. Die erste Klasse besteht aus Verfahren, die die Zuverlässigkeit der Übertragung über FadingKanäle verbessert. Dies wird entweder durch Verbesserung des jeweils wirksamen mittleren SNR (engl. SignaltoNoise power ratio) z. B. durch Beamforming oder durch Verminderung der Fluktuationen des SNR durch Diversitätstechniken erreicht. Die zweite Klasse bilden Verfahren, bei denen mehrere unabhängige Datenströme parallel über die verschiedenen Antennen durch räumliches Multiplexen (engl. Spatial Multiplexing) übertragen und so die Datenrate vervielfacht wird. Während bei den Diversitätstechniken und den Verfahren des Spatial Multiplexing die Übertragungseigenschaften zwischen den verschiedenen Sende- und Empfangsantennen durch z. B. ausgeprägte Mehrwegeausbreitung möglichst unkorreliert sein sollen, ist dies bei den Beamforming-Verfahren aber gerade nicht dienlich. Im Rahmen dieses Projekts wurde die Übertragungsqualität von Funksystemen mit MIMOArchitektur analysiert, die spezielle blockbasierte Codierungsverfahren verwenden, die nicht nur die zeitliche, sondern auch die räumliche Dimension zu der Informationsübertragung nutzen (SpaceTimeBlockCoding, STBC) und damit auf einen Diversitätsgewinn abzielen.