Deutsches Zentrum Fur Luft-Und Raumfahrt E.v.

Deutsches Zentrum Fuer Luft-Und Raumfahrt E.v

Thomson Licensing S.a.

Deutsche Thomson-Brandt Gmbh

Deutsche Forschungsanstalt Fur Luft-Und Raumfahrt E.v.

Bruno, Luigi

Patrick Robertson

Otto Klank

Luigi Bruno

Bernhard Krach

Michael Lentmaier

Michael Angermann

Khaled Fazel

Alexander Steingass

Susanna Kaiser

Mohammed Khider

Thanawat Thiasiriphet

Christian Wasel

Method for determining the position of moving objects, wherein the object has a sensor or an apparatus for determining odometry data, having the steps of: transmitting the odometry data to a calculation device, estimating the location and position of the object with the aid of the calculation device, creating a diffusion matrix on the basis of the estimated location and position taking into account environmental data, determining a contour line on the basis of the diffusion matrix, determining the distances between the position and the contour line for different orientations, in particular each orientation, and calculating a probability density function on the basis of the distances determined.

Method for determining the position of moving objects

The invention relates to a method for creating a map relating to location-related data on the likelihood of the future movement of a person in a spatial environment, such as a building, forest, tunnel system or public place, and in particular a shopping center, airport or train station. In the method according to the invention, at least one person is supplied with one or more sensors (e.g. inertial sensors, rotation rate sensors, optical sensors) for odometrical measurement (odometry) (e.g. attached to a shoe), wherein the odometry has errors due to inherent measurement inaccuracies of the sensor(s) (e.g. angle deviations, length deviations). The at least one person moves by foot through the spatial environment. Information regarding the pedestrian step lengths and/or pedestrian step direction and/or orientation of the sensor or the person (called odometry information Z) is determined from the measurement signals of the sensor(s). Based on said odometry information, a map is created using a Bayesian estimator (e.g. particle filter, Rao-Blackwellized particle filter, Kalman filter, Mone-Cario hypothesis filter or combined forms of such filters), the state-variable space thereof (e.g. hypothetical space of the particle of a particle filter) comprising both the current pedestrian step (pedestrian step length and optionally movement direction change as well) of the person U, odometry errors E (e.g. drift parameters with respect to the determined pedestrian step lengths and/or pedestrian step direction and/or orientation of the sensor or the person) and also the location-related data on the probabilities of the future movement of the person.

Method for creating a map relating to location-related data on the probability of future movement of a person

A method for estimating hidden channel parameters of a GNSS navigation signal received in a multipath environment includes a sequential Bayesian estimation. A movement model forms the basis of the estimation and is designed especially for dynamic channel scenarios and takes into account the speeds of change and the variable life cycles of the path. The estimator is implemented as a recursive Bayesian filter for a combined determination of positions and suppression of multipaths. The binding of the delay of the direct path is taken into consideration via position and clock parameters. The method is carried out with GNSS satellite navigation receivers, e.g. GPS and Galileo. With the method, multipath error of received GNSS navigation signals is reduced. The multipath channel includes a direct path and Nm-I echo signals and each of these paths may be considered on or off for the estimation.

Method for estimating hidden channel parameters of a GNSS navigation signal received in a multipath environment

For the reduction of the multipath error of received GNSS navigation signals, a sequential Bayesian estimation is used, with a movement model underlying this estimation, which model is particularly designed for dynamic channel situations. Sequential Monte Carlo methods are used to calculate the posterior probability density functions of the signal parameters. To facilitate an efficient integration in received signal tracking loops, the invention builds on complexity reduction concepts that have previously been used in maximum likelihood (ML) estimators. Applicable with GNSS satellite navigation receivers, e.g. GPS and Galileo.

Method for estimating hidden channel parameters of a received GNNS navigation signal

A data communications system including a local beacon ('), on the one side ,being programmable and/or communicating with controlling and/or information communicating infrastructure means (), for example a central service provider or the Internet and/or with one or more further local beacons and which, on the other side, contains for wireless communication with one or more end devices () located in its vicinity a transceiver combination or in special cases a transmitter only and which is located in or in place of a electric lighting equipment () is characterized in accordance with the invention in that the local beacon is provided with a smart cache and/or processing functionality for the data to be communicated wireless. The data communications system in accordance with the invention can be put to use for both communication and navigation by end device users.

Data communications system including a local beacon

In the radio transmission method according to the invention, which operates with a mixed frequency and time division multiplex method FDMA/TDMA, in which a relatively broad frequency band is divided according to the FDMA method into a plurality of carrier frequency ranges, namely the so-called main channels, and a plurality of time slots, namely the so-called sub-channels, distributed in a frame structure, are formed on each carrier frequency level according to the TDMA method, a grouping, that is to say a so-called cluster, of subscriber stations is assigned a limited number of main channels. A main channel signal is divided into one or more sub-channel signals which are associated with a cluster and which are transmitted using the TDMA method. Each transmitter of an activated subscriber station transmits a detectable check signal, so that, on the basis of detection of a check signal in the respective receiver, other, newly activated subscriber stations can determine the presence of transmit signals which are present within a specific, spatially limited range, namely their own respective transmission range. The method according to the invention can be used for transmitting information between terminals in indoor networks in a wireless manner without a central station.

Radio transmission method for digital multimedia data signals between subscriber stations in a local network

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Ammerland, Germany

Patrick Robertson