Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.v.

Matthias Kuba

Heinrich Milosiu

Tobias Draeger

Hans Adel

Maximilian Roth

Christopher Kaffenberger

Matthias Klatt

The invention relates to an apparatus for mobile application, including a frequency spectrum generator for generating a frequency spectrum of radio waves at a current position of the apparatus and a classifier for classifying the frequency spectrum such that the frequency spectrum is assigned to one of at least two classes.

Apparatus for mobile application and frequency spectrum generator

A first aspect of the invention relates to an apparatus for mobile application, including a frequency spectrum generator for generating a frequency spectrum of radio waves at a current position of the apparatus and a classifier for classifying the frequency spectrum such that the frequency spectrum is assigned to one of at least two classes. A second aspect of the invention relates to a frequency spectrum generator with a tunable local oscillator, with a downmixer for downmixing a received antenna signal with the local oscillator signal for obtaining a downmixed signal, with a filter for filtering out a mirror-frequency portion in the downmixed signal, with a signal level detector for detecting a signal level of the downmixed signal at an intermediate frequency and with a control for sequentially controlling the local oscillator and the signal level detector to sample a frequency spectrum of the antenna signal.

A device for determining an encoded data sequence as a determined data sequence is provided. The encoded data sequence is encoded by an input signal frequency-modulated in accordance with a modulation rule. The encoded data sequence has a plurality of data elements. The device has a filter unit for filtering the frequency-modulated input signal in order to obtain a first frequency-filtered channel signal and a second frequency-filtered channel signal. Additionally, the device has an evaluation unit configured to associate, for each known data sequence of a quantity of known data sequences, two channel-specific signal-to-noise distance values to this known data sequence. Furthermore, the evaluation unit is configured to select from the plurality of known data sequences a known data sequence as the determined data sequence to which is associated a channel-specific signal-to-noise distance value which is greater than another channel-specific signal-to-noise distance value associated to another one of the known data sequences.

Growing community of inventors

Nuremberg, Germany

Matthias Kuba