Abstract: A software-defined receiver (SDR) using real long term evolution (LTE) signals may be used for navigation. The LTE SDR leverages the structure of the downlink LTE signal, and provides signal acquisition, navigation-relevant high-level system information extraction, and signal tracking. The LTE SDR also provides the ability to obtain a time-of-arrival (TOA) estimate from received LTE signals, which provides a navigation solution comparable to a GPS-only navigation solution.

Abstract: A software-defined receiver (SDR) using real long term evolution (LTE) signals may be used for navigation. The LTE SDR leverages the structure of the downlink LTE signal, and provides signal acquisition, navigation-relevant high-level system information extraction, and signal tracking. The LTE SDR also provides the ability to obtain a time-of-arrival (TOA) estimate from received LTE signals, which provides a navigation solution comparable to a GPS-only navigation solution.

Abstract: A signal of opportunity (SOP)-aided inertial navigation system (INS) framework provides various technical solutions to technical problems facing GNSS implementations. A mobile receiver, whether handheld or vehicle-mounted, has access to Global Navigation Satellite System (GNSS) signals, multiple unknown terrestrial SOPs, and IMU measurements, which are used to estimate receiver states. When GNSS signals become unreliable, the mobile receiver continues to navigate using the SOP-aided INS. The SOP-aided INS produces bounded estimation errors in the absence of GNSS signals, and the bounds are dependent on the quantity and quality of exploited SOPs.

Abstract: A software-defined receiver (SDR) using real long term evolution (LTE) signals may be used for navigation. The LTE SDR leverages the structure of the downlink LTE signal, and provides signal acquisition, navigation-relevant high-level system information extraction, and signal tracking. The LTE SDR also provides the ability to obtain a time-of-arrival (TOA) estimate from received LTE signals, which provides a navigation solution comparable to a GPS-only navigation solution.

Abstract: A vehicular simultaneous localization and mapping may fuse lidar data and pseudoranges extracted from ambient cellular LTE towers. An ICP algorithm may be used to extract odometry measurements from successive lidar scans. A robust and computationally efficient feature extraction method may be used to detect edge lines and feature points from the lidars point cloud. Then, a point registration technique using a maximum likelihood approach allows the estimation of the covariance of the odometry error, which is used in EKF propagation. The proposed approach consists of a mapping mode when GNSS signals are available and subsequently a SLAM mode when GNSS signals become unavailable. The cellular transmitters states, namely position and clock bias and clock drift, are continuously estimated in both modes. Simulation and experimental results validate the accuracy of these systems and methods, and provides lane-level localization without GNSS signals.

Abstract: A GNSS augmented using signals of opportunity (SOPs) provides various technical solutions to technical problems facing GNSS implementations. SOPs may enhance or enable otherwise unavailable navigation, such as whenever GNSS signals become inaccessible or untrustworthy, Terrestrial SOPs are abundant and are available at varying geometric configurations, and may be used to improve GNSS by reducing VDOP, VDOP may be reduced by exploiting existing terrestrial SOPs, particularly cellular code division multiple access (CDMA) signals, which have inherently low elevation angles and are free to use.

Abstract: A signal of opportunity (SOP)-aided inertial navigation system (INS) framework provides various technical solutions to technical problems facing GNSS implementations. A mobile receiver, whether handheld or vehicle-mounted, has access to Global Navigation Satellite System (GNSS) signals, multiple unknown terrestrial SOPs, and IMU measurements, which are used to estimate receiver states. When GNSS signals become unreliable, the mobile receiver continues to navigate using the SOP-aided INS. The SOP-aided INS produces bounded estimation errors in the absence of GNSS signals, and the bounds are dependent on the quantity and quality of exploited SOPs.

Abstract: A software-defined receiver (SDR) using real long term evolution (LTE) signals may be used for navigation. The LTE SDR leverages the structure of the downlink LTE signal, and provides signal acquisition, navigation-relevant high-level system information extraction, and signal tracking. The LTE SDR also provides the ability to obtain a time-of-arrival (TOA) estimate from received LTE signals, which provides a navigation solution comparable to a GPS-only navigation solution.