Machine learning techniques are used, in one embodiment, to mitigate multipath in an L5 GNSS receiver. In one embodiment, training data is generated to provide ground truth data for excess path length (EPL) corrections for a set of received GNSS signals. A system extracts features from the set of received GNSS signals and uses the extracted features and the ground truth data to train a set of one or more neural networks that can produce EPL corrections for pseudorange measurements. The trained set of one or more neural networks can be deployed in GNSS receivers and used in the GNSS receivers to correct pseudorange measurements using EPL corrections provided by the trained set of neural networks.

A tracking loop and associated method for tracking a satellite signal in a GNSS receiver and for determining a line-of-sight (LOS) signal from a plurality of satellite signals received by the GNSS receiver from a satellite. One or more first correlators perform a correlation between a code signal derived from one of the received satellite signals and a plurality of corresponding replica code signals to determine a plurality of code correlation sums comprising a prompt code correlation sum, one or more early code correlation sums and one or more late code correlation sums. One or more second correlators correlate the plurality of code correlation sums with a plurality of replica carrier signals, each having a different Doppler frequency offset, to determine, for each of the plurality of code correlation sums, a set of correlation magnitudes at frequencies of the plurality of replica carrier signals. An LOS identification module identifies the LOS signal based on a signal propagation delay corresponding to one or more local maxima within the sets of correlation magnitudes.

A tracking loop and associated method for tracking a satellite signal in a GNSS receiver and for determining a line-of-sight (LOS) signal from a plurality of satellite signals received by the GNSS receiver from a satellite. One or more first correlators perform a correlation between a code signal derived from one of the received satellite signals and a plurality of corresponding replica code signals to determine a plurality of code correlation sums comprising a prompt code correlation sum, one or more early code correlation sums and one or more late code correlation sums. One or more second correlators correlate the plurality of code correlation sums with a plurality of replica carrier signals, each having a different Doppler frequency offset, to determine, for each of the plurality of code correlation sums, a set of correlation magnitudes at frequencies of the plurality of replica carrier signals. An LOS identification module identifies the LOS signal based on a signal propagation delay corresponding to one or more local maxima within the sets of correlation magnitudes.

Methods, devices, systems, media, and receivers for processing GNSS signals are described. One aspect of the present disclosure provides a method for processing satellite signals of a Global Navigation Satellite System (GNSS), the method comprising: receiving a first GNSS signal transmitted in a first GNSS operational band by a satellite of the GNSS and a second GNSS signal transmitted in a second GNSS operational band by the satellite; tracking the first GNSS signal; generating, from the tracking of the first GNSS signal, tracking parameters for the first GNSS signal; and decoding, at least based on the tracking parameters for the first GNSS signal, the second GNSS signal, wherein the first GNSS operational band is one of L1 band, L2 band or L5 band, and the second GNSS operational band is L6 band.

Methods, devices, systems, media, and receivers for processing GNSS signals are described. One aspect of the present disclosure provides a method for processing satellite signals of a Global Navigation Satellite System (GNSS), the method comprising: receiving a first GNSS signal transmitted in a first GNSS operational band by a satellite of the GNSS and a second GNSS signal transmitted in a second GNSS operational band by the satellite; tracking the first GNSS signal; generating, from the tracking of the first GNSS signal, tracking parameters for the first GNSS signal; and decoding, at least based on the tracking parameters for the first GNSS signal, the second GNSS signal, wherein the first GNSS operational band is one of L1 band, L2 band or L5 band, and the second GNSS operational band is L6 band.

A duplicate peak detector acquires and tracks a first correlation peak for a data sequence associated with a navigation satellite in a satellite navigation signal. During tracking of the first correlation peak, a second correlation peak is acquired and tracked for the same data sequence. Respective values of at least one tracking variable of the two correlation peaks are analyzed, and based on the analysis it is determined whether the first and second correlation peaks are associated with the same navigation signal or different navigation signals. If the first correlation peak and the second correlation peak are associated with the same navigation signal, tracking of one of the correlation peaks is discontinued.

A duplicate peak detector acquires and tracks a first correlation peak for a data sequence associated with a navigation satellite in a satellite navigation signal. During tracking of the first correlation peak, a second correlation peak is acquired and tracked for the same data sequence. Respective values of at least one tracking variable of the two correlation peaks are analyzed, and based on the analysis it is determined whether the first and second correlation peaks are associated with the same navigation signal or different navigation signals. If the first correlation peak and the second correlation peak are associated with the same navigation signal, tracking of one of the correlation peaks is discontinued.

A method for detecting a multipath effect in a GNSS receiver which is designed to receive different signals from a GNSS satellite and includes a parameter which is determined from directly received signals and has a substantially constant target value, including the steps receiving at least two mutually independent signals; determining a current parameter value from at least the first and the second signal; evaluating the parameter value in relation to the target value, and detecting a multipath effect when the parameter value has a deviation (ΔK) which deviates from the already known target value.

A method for detecting a multipath effect in a GNSS receiver which is designed to receive different signals from a GNSS satellite and includes a parameter which is determined from directly received signals and has a substantially constant target value, including the steps receiving at least two mutually independent signals; determining a current parameter value from at least the first and the second signal; evaluating the parameter value in relation to the target value, and detecting a multipath effect when the parameter value has a deviation (ΔK) which deviates from the already known target value.

A device that includes a receiver that receives multiple positioning signals from a satellite, including a positioning signal and remaining positioning signals, and a processor communicatively coupled to the receiver. The processor determines a speed value of the device based on a Doppler shift of the positioning signal. The speed value is a magnitude of a velocity of the device in a direction. The processor also determines that the speed value is not consistent with at least one other measurement and determines the position of the device using the remaining positioning signals.