The presently disclosed subject matter includes a computerized method and system for determining miss-distance between platforms. The proposed method and system make use of an electro optic sensor (e.g. camera) mounted on one of the platforms for obtaining additional data which is used for improving the accuracy of positioning data obtained from conventional positioning devices. A navigation error is calculated where the relative position of the two platforms is converted to the camera reference frame. Once the navigation error is available, it can be used to correct a measured miss-distance.

A method for ascertaining position information for an effector after launching from a launcher of a weapons system including the effector and at least one weapons system unit different from the effector, includes receiving a time synchronization signal at the effector in such a way that the effector and the at least one weapons system unit are temporally synchronized at the latest when the effector is launched. The effector furthermore receives position data of the at least one weapons system unit and a timestamp with unique assignment to the position data through a wireless communication connection after the effector has been launched. Position information is ascertained based on the timestamp, the effector's own time upon receipt of the timestamp, and the position data assigned uniquely to the timestamp. An effector, a computing unit and a weapons system are also provided.

The subject disclosure relates to a simulation system having an aircraft, a local wireless transceiver, and a simulation computer. The aircraft may include an onboard wireless transceiver and a flight controller operatively coupled with an onboard sensor payload to perceive a physical environment and to generate position and pose data. The simulation computer may be configured to communicate wirelessly with the aircraft via the local wireless transceiver. In operation, the simulation computer may be configured to generate one or more virtual reality sensor inputs and to receive the position and pose data from the aircraft. The simulation computer can be configured to transmit the one or more virtual reality sensor inputs to the flight controller of the aircraft.

The illustrative embodiments provide for a method a training system. The training system includes a physical sensor system connected to a physical vehicle. The physical sensor system is configured to obtain real atmospheric obscuration data of a real atmospheric obscuration. The training system also includes a data processing system comprising a processor and a tangible memory. The data processing system is configured to receive the real atmospheric obscuration data, and determine based on the real atmospheric obscuration data whether a target is visible to the physical vehicle in a simulation training environment generated by the data processing system. The simulation training environment at least including a virtual representation of the physical vehicle and a virtual representation of the real atmospheric obscuration.

A mission planning method for use with a weapon is disclosed. The method comprises: obtaining a first training data set describing the performance of the weapon; using the first training data set and a Gaussian Process (GP) or Neural Network to obtain a first surrogate model giving a functional approximation of the performance of the weapon; and providing the first surrogate model to a weapons system for use in calculating a performance characteristic of the weapon during combat operations.

The invention presents a system optimizing control coefficients of flight object under complex environmental effects using hybrid Fuzzy Logic and PID variant controller. The proposed system includes: target module, seeker module, guidance module, control module, dynamics module. The fuzzy logic controller is applied to determine the parameters coefficients of a proportional integral derivative (PID) based on the effect of these coefficients on the system response. The control module is less affected by the accuracy of the mathematical model and can perform well in environments with impact noise.

The presently disclosed subject matter includes a computerized method and system for determining miss-distance between platforms. The proposed method and system make use of an electro optic sensor (e.g. camera) mounted on one of the platforms for obtaining additional data which is used for improving the accuracy of positioning data obtained from conventional positioning devices. A navigation error is calculated where the relative position of the two platforms is converted to the camera reference frame. Once the navigation error is available, it can be used to correct a measured miss-distance.

A method for facilitating real time tracking of an airborne asset via downlink of GPS signals that are usable for determining asset location information from the asset to a ground station may include receiving a first GPS signal and a second GPS signal at a device disposed on the airborne asset and combining the first and second GPS signals to form combined signal responsive to filtration and amplification of the first and second GPS signals. The method may further include employing an overlay analog translation to convert the combined signal into a composite signal at a different frequency than the combined signal, generating a pilot carrier frequency for association with the composite signal, and amplifying the composite signal prior to transmission via the downlink from the airborne asset to the ground station. The pilot carrier frequency and amplitude may be adjustable.

A computer-implemented analysis method is provided for determining range of a ballistic missile for inclusion into a retaliatory targeting system. The method includes receiving and initializing input variables of the missile; calculating constants from the missile; determining completion of boost interval calculations; determining burnout parameters: velocity, flight path angle, and ground range at completion of boost interval for multiple stages; calculating orbital range from the burnout constraints; determining reentry intervals from which to calculate velocity and reentry range; summing boost, orbital, and reentry range values upon interval completion; and summing boost, orbital, and reentry times upon interval completion.

A mission planning method for use with a weapon is disclosed. The method comprises: obtaining a first training data set describing the performance of the weapon; using the first training data set and a Gaussian Process (GP) or Neural Network to obtain a first surrogate model giving a functional approximation of the performance of the weapon; and providing the first surrogate model to a weapons system for use in calculating a performance characteristic of the weapon during combat operations.