Abstract: A system for detection and orbit determination of Earth orbiting objects includes a first plurality of sensors including at least one first antenna. The at least one first antenna is configured to point in a stare mode to broadcast a first detection signal at an angular region centered on an equatorial plane to maximize detection of orbiting objects regardless of altitude, grade, or inclination. The first antenna may be configured to stare at a low inclination angle, and may be configured to stare at one of due east and due west along the equator.

Abstract: A system for detection and orbit determination of Earth orbiting objects includes a first plurality of sensors including at least one first antenna. The at least one first antenna is configured to point in a stare mode to broadcast a first detection signal at an angular region centered on an equatorial plane to maximize detection of orbiting objects regardless of altitude, grade, or inclination. The first antenna may be configured to stare at a low inclination angle, and may be configured to stare at one of due east and due west along the equator.

Abstract: Method and system for registration of a two dimensional image data set and a three-dimensional image comprising point cloud data. The method begins by cropping a three-dimensional volume of point cloud data comprising a three-dimensional image data to remove a portion of the point cloud data comprising a ground surface within a scene, and dividing the three-dimensional volume into a plurality of m sub-volumes. Thereafter, the method continues by edge-enhancing a two-dimensional image data. Then, for each qualifying sub-volume, creating a filtered density image, calculating a two-dimensional correlation surface based on the filtered density image and the two-dimensional image data that has been edge enhanced, finding a peak of the two-dimensional correlation surface, determining a corresponding location of the peak within the two-dimensional image, defining a correspondence point set; and storing the correspondence point set in a point set list.

Abstract: Method and system for combining a 2D image with a 3D point cloud for improved visualization of a common scene as well as interpretation of the success of the registration process. The resulting fused data contains the combined information from the original 3D point cloud and the information from the 2D image. The original 3D point cloud data is color coded in accordance with a color map tagging process. By fusing data from different sensors, the resulting scene has several useful attributes relating to battle space awareness, target identification, change detection within a rendered scene, and determination of registration success.

Abstract: A method for correlating or finding similarity between two data sets. The method can be used for correlating two images with common scene content in order to find correspondence points between the data sets. These correspondence points then can be used to find the transformation parameters which when applied to image 2 brings it into alignment with image 1. The correlation metric has been found to be invariant under image rotation and when applied to corresponding areas of a reference and target image, creates a correlation surface superior to phase and norm cross correlation with respect to the correlation peak to correlation surface ratio. The correlation metric was also found to be superior when correlating data from different sensor types such as from SAR and EO sensors. This correlation method can also be applied to data sets other than image data including signal data.

Abstract: A system and method are provided for detecting surfaces in image data based on spatial data. The method includes obtaining an empirical probability density function (PDF) for the spatial data, where the spatial data includes a plurality of three-dimensional (3-D) point cloud data points associated with a plurality of default color space values. The method also includes generating a globally smooth estimated PDF based on the empirical PDF and a kernel smoothing technique, ascertaining one or more threshold elevation values for at least one mode in the estimated PDF, and tagging one or more portions of plurality of 3-D point cloud data points corresponding to the at least one mode based on the threshold elevation values.

Abstract: A method for correcting transmission phasing errors in an plurality of antenna elements is provided. The method includes receiving at least a first signal having a first frequency at the plurality of antenna elements at an angle of arrival (AOA). The method also includes identifying an actual fractional wavelength value (ftrue) for the first signal received with respect to a reference location for at least one of the plurality of antenna elements, obtaining a estimated phase propagation of the first signal at the one of the plurality of antenna elements relative to the reference location based at least on configuration data for plurality of antenna elements, and updating the configuration data associated with the AOA for the one of the plurality of antenna elements based on the estimated phase propagation and ftrue.

Abstract: Systems and methods for operating a communications system. The methods involve computing one or more complex weights to be applied to transmit signals and receive signals by beamformers. The complex weights are based at least on configuration data for the communications system. The methods also involve applying a first plurality of weight corrections to the complex weights based on phasing errors occurring in a communication path inclusive of a control system and antenna elements. The methods further involve applying a second plurality of weight corrections to the complex weights based on phase differences at the antenna elements relative to a reference location for the receive signals.

Abstract: Systems and methods for improving visualization and interpretation of spatial data of a location are provided. In the method, a first radiometric image and three-dimensional (3-D) point cloud data registered (306) and the radiometric image is divided into a first plurality of image regions (308). Afterwards, one or more cloud data portions of the 3-D point cloud data associated with each of the first plurality of image regions are identified based on the registering (312). Portion color values, consisting of the region color values for corresponding ones of the first plurality of regions, are then applied to the cloud data portions (314). In some cases, an adjustment of the color values can be performed (318).

Abstract: A method for operating a communications system is provided. The method includes receiving a plurality of signals at a plurality of antenna elements, the plurality of signals arriving at the array of antenna elements at a plurality of angles of arrival (AOAs) with respect to a reference location. The method also includes calculating a plurality of differential distance vectors between the plurality of antenna elements and the reference location, each of the plurality of differential distance vectors associated with one of the plurality of AOAs and at least one of the pluralities of signals. The method further includes obtaining a plurality of actual phase center locations for the plurality of antenna elements based on the plurality of differential distance vectors and the plurality of AOAs and providing a correction to configuration data for the array of antenna elements based at least on the plurality of actual phase center locations.

Abstract: Method and system for registration of a two dimensional image data set and a three-dimensional image comprising point cloud data. The method begins by cropping a three-dimensional volume of point cloud data comprising a three-dimensional image data to remove a portion of the point cloud data comprising a ground surface within a scene, and dividing the three-dimensional volume into a plurality of m sub-volumes. Thereafter, the method continues by edge-enhancing a two-dimensional image data. Then, for each qualifying sub-volume, creating a filtered density image, calculating a two-dimensional correlation surface based on the filtered density image and the two-dimensional image data that has been edge enhanced, finding a peak of the two-dimensional correlation surface, determining a corresponding location of the peak within the two-dimensional image, defining a correspondence point set; and storing the correspondence point set in a point set list.

Abstract: Method and system for combining a 2D image with a 3D point cloud for improved visualization of a common scene as well as interpretation of the success of the registration process. The resulting fused data contains the combined information from the original 3D point cloud and the information from the 2D image. The original 3D point cloud data is color coded in accordance with a color map tagging process. By fusing data from different sensors, the resulting scene has several useful attributes relating to battle space awareness, target identification, change detection within a rendered scene, and determination of registration success.

Abstract: Systems and methods for associating color with spatial data are provided. In the system and method, a scene tag is selected for a portion 804 of a radiometric image data (800) of a location and a portion of the spatial data (200) associated with the first portion of the radiometric image data is selected. Based on the scene tag, a color space function (500, 600) for the portion of the spatial data is selected, where the color space function defines hue, saturation, and intensity (HSI) values as a function of an altitude coordinate of the spatial data. The portion of the spatial data is displayed using the HSI values selected from the color space function based on the portion of the spatial data. In the system and method, scene tags are each associated different classifications, where each color space function represents a different pre-defined variation in the HSI values for an associated classification.

Abstract: A method for correcting transmission phasing errors in an plurality of antenna elements is provided. The method includes receiving at least a first signal having a first frequency at the plurality of antenna elements at an angle of arrival (AOA).

Abstract: A system and method for model-based control of a the physical system, based on a computer simulation model approximating operating characteristics of at least a portion of the plurality of components and having one or more model parameters for adjusting a modeled operating characteristic of at least one of the plurality of components is provided. In the system and method at least one active input parameter for the physical system is generated based on current values for the model parameters and the computer simulation model and at least one measured system parameter value and at least one modeled system parameter value are obtained for measuring the performance of physical system responding to the active input parameter. The system and method also evaluate a difference between the measured system parameter value and the modeled system parameter value and update the current values for the model parameters to minimize the difference.

Abstract: Systems and methods for operating a communications system. The methods involve computing one or more complex weights to be applied to transmit signals and receive signals by beamformers. The complex weights are based at least on configuration data for the communications system. The methods also involve applying a first plurality of weight corrections to the complex weights based on phasing errors occurring in a communication path inclusive of a control system and antenna elements. The methods further involve applying a second plurality of weight corrections to the complex weights based on phase differences at the antenna elements relative to a reference location for the receive signals.

Abstract: A method for operating a communications system is provided. The method includes receiving a plurality of signals at a plurality of antenna elements, the plurality of signals arriving at the array of antenna elements at a plurality of angles of arrival (AOAs) with respect to a reference location. The method also includes calculating a plurality of differential distance vectors between the plurality of antenna elements and the reference location, each of the plurality of differential distance vectors associated with one of the plurality of AOAs and at least one of the pluralities of signals. The method further includes obtaining a plurality of actual phase center locations for the plurality of antenna elements based on the plurality of differential distance vectors and the plurality of AOAs and providing a correction to configuration data for the array of antenna elements based at least on the plurality of actual phase center locations.

Abstract: Methods for compensating for phase shifts of a communication signal. The methods involve determining a first reference signal (Vref-1) at a first location along a transmission path and a second reference signal (Vref-2) at a second location along the transmission path. Vref-2 is the same as Vref-1. At the first location, a first phase offset is determined using Vref-1 and a first communication signal. At the second location, a second phase offset is determined using Vref-2 and a second communication signal. A phase of a third communication signal is adjusted at the second location using the first and second phase offsets to obtain a modified communication signal. The first, second, and third communication signals are the same communication signal obtained at different locations along the transmission path.

Abstract: A method for correlating or finding similarity between two data sets. The method can be used for correlating two images with common scene content in order to find correspondence points between the data sets. These correspondence points then can be used to find the transformation parameters which when applied to image 2 brings it into alignment with image 1. The correlation metric has been found to be invariant under image rotation and when applied to corresponding areas of a reference and target image, creates a correlation surface superior to phase and norm cross correlation with respect to the correlation peak to correlation surface ratio. The correlation metric was also found to be superior when correlating data from different sensor types such as from SAR and EO sensors. This correlation method can also be applied to data sets other than image data including signal data.

Abstract: Method (300) for registration of n frames 3D point cloud data. Frame pairs (200i, 200j) are selected from among the n frames and sub-volumes (702) within each frame are defined. Qualifying sub-volumes are identified in which the 3D point cloud data has a blob-like structure. A location of a centroid associated with each of the blob-like objects is also determined. Correspondence points between frame pairs are determined using the locations of the centroids in corresponding sub-volumes of different frames. Thereafter, the correspondence points are used to simultaneously calculate for all n frames, global translation and rotation vectors for registering all points in each frame. Data points in the n frames are then transformed using the global translation and rotation vectors to provide a set of n coarsely adjusted frames.