Abstract: The present disclosure relates to processes, devices, and computer program products for estimating parameters of a wireless communication channel using machine learning, and includes receiving at least one sample of raw data via the wireless communication channel, processing the at least one sample using a machine learning inference algorithm to obtain a first estimated value, processing the at least one sample using a signal processing algorithm to obtain a second estimated value, acquiring a first confidence value for the first estimated value, acquiring a second confidence value for the second estimated value, evaluating the first confidence value and the second confidence value, and providing either the first estimated value or the second estimated value or a combination of the first and the second estimated value as the at least one estimated parameter based on the evaluation.

Abstract: The present disclosure relates to a method for determining an angle of arrival, AoA, of received radio frequency, RF, measurement signals. The method comprises obtaining measurement data based on the received RF measurement signals from an antenna array, wherein the RF measurement signals are representative of multiple frequency channels. The method further comprises determining power spectra, comprising determining at least one power spectrum for each of the multiple frequency channels by using the measurement data. The method further comprises providing a machine learning algorithm, which is pre-trained to determine an AoA based on power spectra of multiple frequency channels. The method further comprises determining the AoA of the received RF measurement signals by using the machine learning algorithm and the determined power spectra.

Abstract: A method is provided for positioning estimation in a hybrid positioning system comprising a first positioning system, which is based on global navigation satellite system, GNSS, a second positioning system, which includes a plurality of locator devices, and a hybrid positioning engine.

Abstract: The present disclosure relates to a positioning method, performed by a positioning device (20), the method comprising: receiving (101) a signal from a mobile device (10); determining (102) a positioning information of the mobile device (10) based on the received signal; providing (103) the determined positioning information of the mobile device (10) to a positioning engine (30); obtaining (107) an offset between the determined positioning information and an estimated positioning information determined by the positioning engine (30); training (108) a positioning algorithm of the positioning device (20) based on the obtained offset.

Abstract: A method for position estimation in a positioning system includes receiving, by a locator devices, positioning signals from a mobile device, generating positioning information with associated synchronization identifiers based on the respective received positioning signals, and providing the positioning information with the associated synchronization identifiers to a positioning engine. The positioning engine compiles a set of related positioning information selected from the provided positioning information based on a similarity measure of the associated synchronization identifiers, and determines an estimated position of the mobile device based on the set of related positioning information.

Abstract: An example method for providing at least one estimated parameter of a wireless communication channel includes receiving at least one sample of raw data via the wireless communication channel, processing the at least one sample using a machine learning inference algorithm and therefrom providing a first estimated value, processing the at least one sample using a signal processing algorithm and therefrom providing a second estimated value, acquiring a first confidence value for the first estimated value, acquiring a second confidence value for the second estimated value, evaluating the first confidence value and the second confidence value, and providing either the first estimated value or the second estimated value or a combination of the first and the second estimated value as the at least one estimated parameter based on the evaluation.

Abstract: The present disclosure relates to a method (100) for determining an angle of arrival, AoA, of received radio frequency, RF, measurement signals. The method (100) comprises obtaining (101) measurement data based on the received RF measurement signals from an antenna array, wherein the RF measurement signals are representative of multiple frequency channels. The method (100) further comprises determining (102) power spectra, comprising determining at least one power spectrum for each of the multiple frequency channels by using the measurement data. The method (100) further comprises providing (105) a machine learning algorithm, which is pre-trained to determine an AoA based on power spectra of multiple frequency channels. The method (100) further comprises determining (106) the AoA of the received RF measurement signals by using the machine learning algorithm and the determined power spectra.