Abstract: A system and method for estimating a geolocation of a non-cooperative target using any reasonable target location estimate. Collectors may acquire actual signal measurements including a direction of arrival (DOA), a target range, a time difference of arrival (TDOA), a range rate, a range sum, and/or a frequency difference of arrival (FDOA). A processing device may receive the actual signal measurements and navigational data regarding the collectors. Then, the processing device may calculate an estimated target location as a solution to a nonlinear optimization problem where an objective function to be minimized is a weighted sum-of-squares of differences between the actual signal measurements and calculated values corresponding to signal measurements that theoretically should be produced for a particular target location. The algorithm used to solve this problem may be a globally convergent algorithm, such as a Levenberg-Marquardt algorithm.

Abstract: A system and method for estimating a geolocation of a non-cooperative target using any reasonable target location estimate. Collectors may acquire actual signal measurements including a direction of arrival (DOA), a target range, a time difference of arrival (TDOA), a range rate, a range sum, and/or a frequency difference of arrival (FDOA). A processing device may receive the actual signal measurements and navigational data regarding the collectors. Then, the processing device may calculate an estimated target location as a solution to a nonlinear optimization problem where an objective function to be minimized is a weighted sum-of-squares of differences between the actual signal measurements and calculated values corresponding to signal measurements that theoretically should be produced for a particular target location. The algorithm used to solve this problem may be a globally convergent algorithm, such as a Levenberg-Marquardt algorithm.

Abstract: A method and apparatus for signal tracking utilizing a universal algorithm is disclosed. The method and apparatus generally include acquiring a signal measurement corresponding to a signal, forming a measurement matrix utilizing the acquired signal measurement, and applying the measurement matrix to a recursive filter to determine a geolocation of the signal. Such a configuration enables geolocations to be determined utilizing any signal measurement or combination of signal measurements to eliminate the need to rely on a particular static combination of signal measurements.

Abstract: Embodiments of the present invention provide a method and apparatus for signal tracking utilizing a universal algorithm. The method and apparatus generally include acquiring a signal measurement corresponding to a signal emitted from an emitter, forming a measurement matrix utilizing the acquired signal measurement, and applying the measurement matrix to a recursive filter to determine a velocity and/or geolocation of the signal emitter. Such a configuration enables velocities and geolocations to be determined utilizing any signal measurement or combination of signal measurements to eliminate the need to rely on a particular static combination of signal measurements.

Abstract: Embodiments of the present invention provide a method and apparatus for signal tracking utilizing a universal algorithm. The method and apparatus generally include acquiring a signal measurement corresponding to a signal emitted from an emitter, forming a measurement matrix utilizing the acquired signal measurement, and applying the measurement matrix to a recursive filter to determine a velocity and/or geolocation of the signal emitter. Such a configuration enables velocities and geolocations to be determined utilizing any signal measurement or combination of signal measurements to eliminate the need to rely on a particular static combination of signal measurements.