Abstract: A remote survey system uses a GNSS receiver, an on-board camera and a vision subsystem to provide real time three-dimensional (3D) global position information for a survey point that is in a location in which access to line-of-sight GNSS satellites signals is restricted. The camera takes images of the restricted access survey point location from unrestricted access locations and the GNSS receiver determines associated global positions. The vision system tracks an object of interest and at least three secondary objects at the restricted access survey point location in a plurality of the images and determines the positions of the objects relative to the camera and the orientations of the camera for the respective images. Using the relative positions, the camera orientations and the global positions of the camera, the vision subsystem calculates the global position of the restricted access survey point.

Abstract: A remote survey system uses a GNSS receiver, an on-board camera and a vision subsystem to provide real time three-dimensional (3D) global position information for a survey point that is in a location in which access to line-of-sight GNSS satellites signals is restricted. The camera takes images of the restricted access survey point location from unrestricted access locations and the GNSS receiver determines associated global positions. The vision system tracks an object of interest and at least three secondary objects at the restricted access survey point location in a plurality of the images and determines the positions of the objects relative to the camera and the orientations of the camera for the respective images. Using the relative positions, the camera orientations and the global positions of the camera, the vision subsystem calculates the global position of the restricted access survey point.

Abstract: A system and method to determine the location of an interfering signal source within a few meters. Three or more networked GNSS receivers are located at known locations and used to simultaneously collect and time-stamp data samples at L1 and L2. The data samples are passed over the network to a server which identifies samples associated with an interfering signal, cross correlates associated samples from pairs of receivers, and applies a discriminator function to significantly improve the accuracy of a computed time difference of arrival (TDOA) for the interfering signal, thereby significantly improving the accuracy of the location determination.

Abstract: A system detects, identifies, and optically tracks a jammer by calculating position and velocity information associated with the jammer based on jamming signals received at one or more antennas, and utilizing the position and velocity information to control one or more cameras. The cameras capture a series of images that include the calculated location, the expected movement of the jammer, or both. The system analyzes the images to extract motion information associated with one or more objects identified in the images. The system utilizes the calculated position and velocity information and the extracted motion information to determine which of the identified object in the images is the jammer. Further, the jammer motion information extracted from the images may be utilized to update the calculated position and velocity information associated with the jammer, to improve the overall accuracy of the tracking of the jammer.

Abstract: A system and method to determine the location of an interfering signal source within a few meters. Three or more networked GNSS receivers are located at known locations and used to simultaneously collect and time-stamp data samples at L1 and L2. The data samples are passed over the network to a server which identifies samples associated with an interfering signal, cross correlates associated samples from pairs of receivers, and applies a discriminator function to significantly improve the accuracy of a computed time difference of arrival (TDOA) for the interfering signal, thereby significantly improving the accuracy of the location determination.

Abstract: A system detects, identifies, and optically tracks a jammer by calculating position and velocity information associated with the jammer based on jamming signals received at one or more antennas, and utilizing the position and velocity information to control one or more cameras. The cameras capture a series of images that include the calculated location, the expected movement of the jammer, or both. The system analyzes the images to extract motion information associated with one or more objects identified in the images. The system utilizes the calculated position and velocity information and the extracted motion information to determine which of the identified object in the images is the jammer. Further, the jammer motion information extracted from the images may be utilized to update the calculated position and velocity information associated with the jammer, to improve the overall accuracy of the tracking of the jammer.