Patent classifications
F41G7/002
Mission planning for weapons systems
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.
Multiple kill vehicle (MKV) interceptor with improved pre-ejection acquisition and discrimination
An MKV interceptor includes a carrier vehicle (CV) that supports the deployment of M kill vehicles (KVs) and provides centralized acquisition and discrimination pre-ejection. Pre-ejection each KV acquires and transmits IR imagery, and possibly visible imagery, via an internal communication bus to a central processor on the CV. The central processor spatially registers the IR images from the different KVs, either directly from the IR images themselves or using the visible imagery, and sums the IR (and visible) images to form a registered spatially averaged IR image. This image has the same resolution but higher SNR than any one of the KV IR images. The central processor uses this registered spatially averaged image during pre-ejection acquisition and discrimination modes. The key benefit is the elimination of independent CV sense capability, which is large, heavy and expensive, and was required by either the command guided or sharing concepts.
MISSION PLANNING FOR WEAPONS SYSTEMS
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.
Simulation of missile signatures
An emitting structure for simulating an irradiance signature of a missile is provided. The emitting structure includes one or more radiation sources, each of which includes at least one ultraviolet radiation source and at least one infrared radiation source. The emitting structure also includes a spherical shell and a mechanism for positioning the radiation source(s) along a three dimensional boundary of the spherical shell. The emitting structure can locate and operate one of the radiation sources to simulate the irradiance signature of the missile.
Stationary and mobile test device for missiles
A stationary test device for a missile includes a retaining device for an avionics testpiece of the missile, where the retaining device enables a movement of the avionics testpiece in three rotational degrees of freedom, and a display device configured to display information on the missile surroundings, where the display device is configured to be moved inside a virtual plane by a translational carriage system. The display device can be detected by the avionics testpiece if the avionics testpiece is disposed on the retaining device. A mobile test device for the missile includes a flight platform, a carrier device mounted on the flight platform, for an avionics testpiece of the missile, wherein the carrier device enables a movement of the avionics testpiece in three rotational degrees of freedom, and a control module, where the control module is configured to control the flight platform for taking off on a specified reference trajectory, control the carrier device for orientation of the avionics testpiece, and store navigation data generated by the avionics testpiece. Finally, a test system for the missile includes the stationary test device and the mobile test device.
METHOD FOR PERFORMING EXO-ATMOSPHERIC MISSILE'S INTERCEPTION TRIAL
An inflatable dummy target comprising a chassis of inflatable ducts wrapped with a sheet. The chassis of inflatable ducts can include one or more ring shaped ducts and one or more elongate ducts. The chassis can include at least two ring shaped ducts interconnected by one or more elongate ducts. The dummy target can include several attached axi-symmetrical sections, each section have a chassis of inflatable ducts. Each section can be conical, frustoconical or cylindrical, thereby achieving a concave or convex dummy target geometry.
Method and Device for Providing Engagement Information Based on Occurrence of Non-Linear Maneuver of Aircraft, and Storage Medium Storing Instructions to Perform Method for Providing Engagement Information
Proposed is a method for providing engagement information. The method may include obtaining detection information related to an aircraft detected by radar, and obtaining preliminary information including information on enemy units, friendly units, and friendly facilities. The method may also include determining whether the aircraft is performing non-linear maneuver including pull up maneuver from the detection information and the preliminary information using a pre-trained neural network, and predicting an impact point of the aircraft based on whether the non-linear maneuver of the aircraft are performed. The method may further include generating an engagement strategy for the aircraft to display an intercept point based on the impact point. The determining whether the aircraft is performing the non-linear maneuver may include predicting a timing of the non-linear maneuver based on location information of a target aimed at by the aircraft.
Method and device for providing engagement information based on occurrence of non-linear maneuver of aircraft, and storage medium storing instructions to perform method for providing engagement information
Proposed is a method for providing engagement information. The method may include obtaining detection information related to an aircraft detected by radar, and obtaining preliminary information including information on enemy units, friendly units, and friendly facilities. The method may also include determining whether the aircraft is performing non-linear maneuver including pull up maneuver from the detection information and the preliminary information using a pre-trained neural network, and predicting an impact point of the aircraft based on whether the non-linear maneuver of the aircraft are performed. The method may further include generating an engagement strategy for the aircraft to display an intercept point based on the impact point. The determining whether the aircraft is performing the non-linear maneuver may include predicting a timing of the non-linear maneuver based on location information of a target aimed at by the aircraft.