u-blox AG

A method and apparatus are provided for processing a GNSS signal received at a receiver. The method includes obtaining samples of the GNSS signal. The samples contain a carrier signal modulated by a spreading code. The method includes generating, based on the obtained samples, code-free samples. These code-free samples contain the carrier signal but the spreading code has been wiped off. The method may include storing a sequence of the code-free samples, the sequence having an associated duration. Additionally, the method comprises analysing the sequence of code-free samples to estimate one or more signal characteristics over the duration of the sequence. The signal characteristics include a carrier phase of the carrier signal.

The present disclosure relates to a method ( 300 ) for aiding acquisition of a satellite signal, comprising configuring, during a first signal acquisition phase ( 310 ) a first RF reception path ( 140 ) of a satellite receiver device ( 100 ) to receive a first type of satellite signal ( 232 ) broadcast by a first set of satellites using a first carrier frequency, wherein the first type of satellite signal ( 232 ) comprises ephemeris data of the first set of satellites, and configuring, during a second signal acquisition phase ( 320 ) based on synchronization information and/or ephemeris data obtained in the first signal acquisition phase ( 310 ), the first RF reception path ( 140 ) to receive a second type of satellite signal ( 234 ) broadcast by the first set of satellites using a second carrier frequency. The present disclosure further relates to a corresponding satellite receiver device ( 100 ).

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.

A method and apparatus are provided for detecting GNSS signal lock. An example method includes tracking a plurality of signals received from a respective plurality of satellites in the GNSS, and calculating an individual frequency spectrum for each tracked signal in the plurality, to produce a plurality of individual frequency spectra. The example method further includes combining one or more values from several of the individual frequency spectra, to produce one or more combined values; and detecting an ensemble signal lock condition based at least in part on the one or more combined values.

A method and apparatus are provided for spoofing detection in the context of a vehicle-based GNSS receiver. An attitude estimate of the vehicle is obtained. A velocity estimate is calculated based on measurements provided by the GNSS receiver. The method comprises projecting the velocity estimate to a body frame of the vehicle, using the attitude estimate; deriving a detection parameter from the projected velocity estimate; and comparing the detection parameter with a detection threshold, in order to detect spoofing.

In one embodiment a multiband patch antenna comprises a first antenna (A 1 ) with a first through-hole-feed (F 1 ), a second antenna (A 2 ) with a second through-hole-feed (F 2 ), a first pin (P 1 ), an antenna printed circuit board, PCB, (PCB 1 ) comprising a first antenna feed point (AFP 1 ), an interposer PCB (PCB 2 ), and a main PCB (PCB 3 ). The first antenna (A 1 ) and second antenna (A 2 ) are mounted on top of each other and on top of the antenna PCB (PCB 1 ), each of the first and the second antenna (A 1, A 2 ) having an electrical connection with the antenna PCB (PCB 1 ). The first pin (P 1 ) is mechanically and electrically connected to at least one of the first and the second through-hole feeds (F 1, F 2 ) and to the first antenna feed point (AFP 1 ). The interposer PCB (PCB 2 ) is mounted between the antenna PCB (PCB 1 ) and the main PCB (PCB 3 ) and is mechanically and electrically connected to the antenna PCB (PCB 1 ) and to the main PCB (PCB 3 ).

A method of determining a posterior error probability distribution for a parameter measured by a Global Navigation Satellite System (GNSS) receiver. The method comprises receiving a value for each of one or more GNSS measurement quality indicators associated with the GNSS measurement of the parameter. The or each received measurement quality indicator value is provided as an input into a multivariate probability distribution model to determine the posterior error probability distribution for the GNSS measurement, wherein the variates of the multivariate probability distribution model comprise error for said parameter, and the or each measurement quality indicator.

A method is provided for generating a track of movement states of a terminal device moving between a first time point T0 to a second time point T, wherein the movement state comprises a position of the terminal device. The method comprises that the server obtains positioning measurements at respective time points t(k) between T0 and T via the terminal device, wherein k is an integer and is an index of the time points, 0≤k≤N, N is an integer and N>0, t(0)=T0, and t(N)=T; the server determines for each time point t(k), the movement state of the terminal device at the time point t(k), wherein when 0≤k<N, the server determines the position of the terminal device at t(k) using the positioning measurements between a respective third time point t(k−a) and a respective fourth time point t(k+b), wherein a and b are integers, 0≤a≤k, and 0<b≤(N−k), when k=N, the server determines the position of the terminal device at t(k) using the positioning measurements between the third time point t(k−a) and t(k); and the server generates the track of the movement states of the terminal device by combining the determined positions.

A method for configuring a device for short-range positioning based on Angle-of-Arrival and/or Angle-of-Departure estimation within an Internet Protocol based network includes: receiving, by the device, a configuration message from a location server, the configuration message enabling the device to determine whether to enter either a first mode of operation or a second mode of operation, in which in the first mode of operation a standard short-range positioning is applied and in which in the second mode of operation a proprietary short-range positioning is applied; operating, by the device, either in the first or in the second mode of operation according to the configuration message; and sending, by the device, a confirmation message indicating successful configuration of the device.

A method for authenticatable data transmission via a one-to-many communication channel from a provider device to a receiver device. A first key pair comprising a first private key and a first public key and supporting bilinear pairings as well as one or more second key pairs are generated and stored. Each second key pair comprises a respective second private key and a respective second public key and supporting bilinear pairings. One or more messages of a first type are obtained and a respective hash is generated for each of them. An authentication message is composed including the generated hashes. The composed authentication message is signed employing the first private key for producing a signed aggregated authentication message, which is distributed to the receiver device.