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.

Systems, devices, methods, and computer-readable media for improved location determination of an orbiting device. A method can include receiving, at a transceiver of a device, measurement data from a monitor device, the measurement data representative of a physical state of a mobile object, filtering, using a first of a plurality of first filters of the device, the measurement data based on a character parameter of a state transition matrix representative of the physical state resulting in filtered measurement data, filtering, using a Kalman filter, the filtered measurement data resulting in further filtered measurement data, and providing, by the transceiver, the further filtered measurement data.

Systems, devices, methods, and computer-readable media for improved location determination of an orbiting device. A method can include receiving, at a transceiver of a device, measurement data from a monitor device, the measurement data representative of a physical state of a mobile object, filtering, using a first of a plurality of first filters of the device, the measurement data based on a character parameter of a state transition matrix representative of the physical state resulting in filtered measurement data, filtering, using a Kalman filter, the filtered measurement data resulting in further filtered measurement data, and providing, by the transceiver, the further filtered measurement data.

A position-determining apparatus, such as a GPS receiver, determines the position of the mobile device based on the time of flight of a transmitted probe signal using a method in which sections of the received signal is classified into two or more categories and accumulated according to categories before being used to compute the correlations familiar in the context of a matched filter. Using the method of the present invention to compute the correlations, and optionally applying additional time-saving techniques described herein, a position determination is achieved using arithmetic operations that are significantly reduced from that required in prior art methods to compute the correlations. The reduced number of arithmetic operations can reduce significantly the power consumption required of a device carrying out a method of the present invention, and thereby realizing a significant advantage.

A position-determining apparatus, such as a GPS receiver, determines the position of the mobile device based on the time of flight of a transmitted probe signal using a method in which sections of the received signal is classified into two or more categories and accumulated according to categories before being used to compute the correlations familiar in the context of a matched filter. Using the method of the present invention to compute the correlations, and optionally applying additional time-saving techniques described herein, a position determination is achieved using arithmetic operations that are significantly reduced from that required in prior art methods to compute the correlations. The reduced number of arithmetic operations can reduce significantly the power consumption required of a device carrying out a method of the present invention, and thereby realizing a significant advantage.

The disclosure herein provides a golf GPS device with a sensor mechanism to automatically switch between video and audio only modes of the device. More particularly, when a player attaches the golf GPS device to a piece of clothing or hat, the device automatically switches to audio-only mode. When the player detaches the golf GPS device, the device automatically switches to video mode, with or without audio. The golf GPS device further includes one or more processors configured to repeatedly determine in which one of the plurality of holes the device is located, to repeatedly compute a distance between the device and a feature of the determined hole, and to cause to display the hole number of the determined hole and the computed distance on the display screen.

The disclosure herein provides a golf GPS device with a sensor mechanism to automatically switch between video and audio only modes of the device. More particularly, when a player attaches the golf GPS device to a piece of clothing or hat, the device automatically switches to audio-only mode. When the player detaches the golf GPS device, the device automatically switches to video mode, with or without audio. The golf GPS device further includes one or more processors configured to repeatedly determine in which one of the plurality of holes the device is located, to repeatedly compute a distance between the device and a feature of the determined hole, and to cause to display the hole number of the determined hole and the computed distance on the display screen.

A circuit includes a first wireless radio frequency (RF) transceiver and a time-of-flight estimator included with or coupled to the first wireless RF transceiver. The time-of-flight estimator estimates a time-of-flight between the first wireless RF transceiver and a second wireless RF transceiver using: a first interval value that indicates an amount of time between when the second wireless RF transceiver received the message and when the second wireless RF transceiver transmitted the response; a first error value that indicates an offset between when the second wireless RF transceiver sampled the message and a target sampling point for the message; a second interval value that indicates an amount of time between when the TX chain sent the message and when the RX chain received the response; and a second error value that indicates an offset between when the RX chain sampled the response and a target sampling point for the response.

A circuit includes a first wireless radio frequency (RF) transceiver and a time-of-flight estimator included with or coupled to the first wireless RF transceiver. The time-of-flight estimator estimates a time-of-flight between the first wireless RF transceiver and a second wireless RF transceiver using: a first interval value that indicates an amount of time between when the second wireless RF transceiver received the message and when the second wireless RF transceiver transmitted the response; a first error value that indicates an offset between when the second wireless RF transceiver sampled the message and a target sampling point for the message; a second interval value that indicates an amount of time between when the TX chain sent the message and when the RX chain received the response; and a second error value that indicates an offset between when the RX chain sampled the response and a target sampling point for the response.

Systems and methods for calculating single delta range differences using synthetic clock steering are provided. In certain embodiments, a system includes a first GNSS receiver that provides first delta range measurements and first measurement times associated with a plurality of GNSS satellites. The system further includes a second GNSS receiver that provides second delta range measurements and second measurement times associated with the plurality of GNSS satellites. Additionally, the system includes a processing unit that executes instructions that cause the processing unit to synchronize the second delta range measurements with the first delta range measurements to create synchronized delta range measurements. The executable instructions also cause the processing unit to calculate a single difference of the first delta range measurements and the synchronized delta range measurements for at least one satellite in the plurality of GNSS satellites.