Abstract: A satellite spoofing signal detection system with at least one primary antenna installed on a top side of a vehicle body, at least one secondary antenna installed on a bottom side of the vehicle body, and a spoofing controller is provided. The spoofing controller is configured to determine if a spoofing signal is present by comparing primary satellite signals received by the at least one primary antenna and secondary satellite signals received by the at least one secondary antenna. The spoofing controller determines if a spoofing signal is present by comparing a number of satellites used in position computations along with protection limits determined by the primary satellite signals and the secondary satellite signals. Other information from the primary and secondary antennas, such as visible satellites, receiver autonomous integrity monitoring, dilution of precision, and satellite almanac information may be used to determine if a spoofing signal is present.

Abstract: A method for determining a position of a vehicle-of-interest is provided. The method includes: receiving data including position, velocity, heading and integrity that is broadcast from an ADS-B system from at least two neighboring vehicles in the vicinity of the vehicle-of-interest; determining a distance to, and a direction of travel of, each of the at least two neighboring vehicles using radar on the vehicle-of-interest; receiving a current path of the vehicle-of-interest; calculating a current position and integrity of the vehicle-of-interest based on (1) the data from the at least two neighboring vehicles, (2) the distance to, and direction of travel of, the at least two neighboring vehicles, and (3) the current path of the vehicle-of-interest; checking the integrity of the position received in the data from the at least two neighboring vehicles; and broadcasting a message about the integrity of the position received.

Abstract: A method for detecting spoofing comprises monitoring GNSS satellite signals with a GNSS receiver; obtaining current time, current orbital information values, Doppler shift, and/or dilution of precision from the GNSS receiver, with the current orbital information values comprising orbital position with respect to a current position of the GNSS receiver; retrieving past orbital information values comprising orbital position, and calculating predicted orbital information values based on the past orbital information values, with respect to the current time from the receiver, with the predicted orbital information values comprising orbital position with respect to the current position of the receiver.

Abstract: An RF interference database provides RF signal characteristics associated with a plurality of geographical locations. A travel planning system on a vehicle or other processing system can disseminate data including the RF signal characteristics to multiple operating systems on at least one vehicle in a network. Disseminating data can include generating a report sent to the operating system(s), generate threat levels and/or alerts based on the severity of RF interference in the geographical location, provide a system use recommendation on operating parameters and/or alternative operating systems for use in the geographical location. A vehicle can also take ameliorative action, such as modifying a travel path based on data disseminated from the RF interference database and/or conduct integrity checks on the operating systems.

Abstract: A method for detecting spoofing comprises monitoring signals from GNSS and SBAS satellites with a GNSS receiver; obtaining current time and orbital parameters from the receiver, based on real-time signals from the satellites; computing orbital positions based on the current time and orbital parameters; retrieving past orbital parameters; calculating predicted orbital positions based on the orbital parameters with respect to current time and the past orbital parameters; computing current orbital positions based on current satellite signals; determining a first distance value between two or more of the satellites based on the predicted orbital positions; determining a second distance value between two or more of the satellites based on the current orbital positions; comparing the first and second distance values to obtain a discriminator value; determining whether the discriminator value is greater than a threshold level, and outputting a spoofing alert when the discriminator value is greater than the threshold

Abstract: Systems and methods for 5G based landing, navigation, and position augmentation are described herein. In one example, a method includes receiving 5G signals from a plurality of 5G base station and processing the received 5G signals from a plurality of 5G base stations to obtain 5G position information. The method further includes receiving position correction information for the 5G position information from a ground reference station. The method further includes determining a position of a vehicle based on the 5G position information and the position correction information. The method further includes providing navigation guidance to the vehicle based on the determined position of the vehicle.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for managing energy use in a vehicle. For instance, the method may include receiving forecasted data from a first external source, receiving real-time data corresponding to at least one weather parameter at a first location at a first time, and continuously determining whether to perform an adjustment to a control parameter of the vehicle by using a machine learning model that is based on the forecasted data for the at least one weather parameter, the real-time data for the at least one weather parameter, a battery condition of the vehicle, and/or an estimated amount of energy consumed by traveling along a first navigation path.

Abstract: A satellite spoofing signal detection system with at least one primary antenna installed on a top side of a vehicle body, at least one secondary antenna installed on a bottom side of the vehicle body, and a spoofing controller is provided. The spoofing controller is configured to determine if a spoofing signal is present by comparing primary satellite signals received by the at least one primary antenna and secondary satellite signals received by the at least one secondary antenna. The spoofing controller determines if a spoofing signal is present by comparing a number of satellites used in position computations along with protection limits determined by the primary satellite signals and the secondary satellite signals. Other information from the primary and secondary antennas, such as visible satellites, receiver autonomous integrity monitoring, dilution of precision, and satellite almanac information may be used to determine if a spoofing signal is present.

Abstract: A method for detecting spoofing comprises monitoring GNSS satellite signals with a GNSS receiver; obtaining current time, current orbital information values, Doppler shift, and/or dilution of precision from the GNSS receiver, with the current orbital information values comprising orbital position with respect to a current position of the GNSS receiver; retrieving past orbital information values comprising orbital position, and calculating predicted orbital information values based on the past orbital information values, with respect to the current time from the receiver, with the predicted orbital information values comprising orbital position with respect to the current position of the receiver.

Abstract: A vehicle location accuracy enhancement system is provided. A digital active phased array radar is configured to generate a profiled terrain including terrain altitude information. A controller is configured to implement operating instructions in memory to conduct profile matching between the generated profiled terrain from the at least one digital active phased array radar and terrain altitude profile information in a terrain database to determine profiled location solutions. The controller is further configured to at least augment sensor location solutions from at least one other location determining system, including a GNSS, with the profiled location solutions to enhance accuracy of the sensor location solutions. The controller is also configured to determine location errors in the GNSS based on the profiled location solution and to broadcast the determined location errors.

Abstract: An RF interference database provides RF signal characteristics associated with a plurality of geographical locations. A travel planning system on a vehicle or other processing system can disseminate data including the RF signal characteristics to multiple operating systems on at least one vehicle in a network. Disseminating data can include generating a report sent to the operating system(s), generate threat levels and/or alerts based on the severity of RF interference in the geographical location, provide a system use recommendation on operating parameters and/or alternative operating systems for use in the geographical location. A vehicle can also take ameliorative action, such as modifying a travel path based on data disseminated from the RF interference database and/or conduct integrity checks on the operating systems.

Abstract: A vehicle location accuracy enhancement system is provided. A digital active phased array radar is configured to generate a profiled terrain including terrain altitude information. A controller is configured to implement operating instructions in memory to conduct profile matching between the generated profiled terrain from the at least one digital active phased array radar and terrain altitude profile information in a terrain database to determine profiled location solutions. The controller is further configured to at least augment sensor location solutions from at least one other location determining system, including a GNSS, with the profiled location solutions to enhance accuracy of the sensor location solutions. The controller is also configured to determine location errors in the GNSS based on the profiled location solution and to broadcast the determined location errors.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for managing energy use in a vehicle. For instance, the method may include receiving forecasted data from a first external source, receiving real-time data corresponding to at least one weather parameter at a first location at a first time, and continuously determining whether to perform an adjustment to a control parameter of the vehicle by using a machine learning model that is based on the forecasted data for the at least one weather parameter, the real-time data for the at least one weather parameter, a battery condition of the vehicle, and/or an estimated amount of energy consumed by traveling along a first navigation path.