Abstract: The present invention concerns a real-time method for the blind demodulation of digital telecommunication signals, based on the observation of a sampled version of this signal.

Abstract: The present invention relates to a system for demodulating or blind searching the characteristics of digital telecommunication signals, characterized in that it comprises at least one hardware architecture or hardware and firmware comprising memories and one or more processing units for implementing a network of specific computation blocks connected together, including a first specialized block of the network estimating at least one filter for acquiring the blind signal, and a second block subsequently producing at least one module for estimating the amplification of the observed signals in order to subsequently assess the other characteristics of the signals observed by the other computation blocks of the network, at least a third specialized computation block producing a decision-making module for computing an error signal and back-propagating the computed errors to each of the preceding residual blocks (“propagate”, “update”).

Abstract: The present invention relates to an adaptive synchronization device for demodulating a signal in linear modulation (x). The device functions from a sampled version of the signal (x).

Abstract: The present invention concerns a system for the blind demodulation of a linearly modulated digital telecommunication signal and comprising modules allowing the estimation, monitoring of the temporal variations and corrections in the value of the phases, amplitudes, frequencies, time offsets and a set of compensation filters of the propagation channel, characterized in that it comprises at least one hardware or hardware and firmware architecture comprising memories and one or more processing units for implementing a network of specific calculation blocks connected to each other, including a block for the blind synchronization of the signal allowing the estimation, monitoring and compensation of the delay of the signal and also making it possible to adapt the processing rate of the downstream chain (of the demodulation system) to the reduced cadence of one sample per symbol, a first block incorporates at least one module making it possible to estimate at least one of the parameters of the observed signals in or

Abstract: The present invention relates to an adaptive synchronization device for demodulating a signal in linear modulation (x). The device functions from a sampled version of the signal (x).

Abstract: The present invention relates to a system for demodulating or blind searching the characteristics of digital telecommunication signals, characterized in that it comprises at least one hardware architecture or hardware and firmware comprising memories and one or more processing units for implementing a network of specific computation blocks connected together, including a first specialized block of the network estimating at least one filter for acquiring the blind signal, and a second block subsequently producing at least one module for estimating the amplification of the observed signals in order to subsequently assess the other characteristics of the signals observed by the other computation blocks of the network, at least a third specialized computation block producing a decision-making module for computing an error signal and back-propagating the computed errors to each of the preceding residual blocks (“propagate”, “update”).

Abstract: The present invention concerns a real-time method for the blind demodulation of digital telecommunication signals, based on the observation of a sampled version of this signal.

Abstract: A method for processing measurements obtained by an antenna system at a given time index t, includes within a first list of clusters, a cluster including temporal characteristics, spatial characteristics and signal characteristics, predicting, at the time index t, the spatial characteristics of each cluster contained in the first list of clusters as a function of the spatial characteristics of the cluster when lastly updated to form a second list of clusters; for each measurement: forming a third list of clusters included in the second list, each cluster including the previously predicted spatial characteristics and calculating a likelihood score between the measurement and each cluster of the third list of clusters, the likelihood score being calculated from two factors; selecting the maximum likelihood score; and comparing the maximum likelihood score with a predetermined threshold.