Abstract: Nonlethal cartridges adapted to be chambered in a firearm having a barrel that includes rifling are provided. In one example, the cartridge includes a cartridge case and a sabot that is telescopically coupled to the cartridge case and that has a sabot mouth. A projectile includes a polymer base projectile portion disposed in the sabot mouth. A polymer front shell projectile portion is coupled to the polymer base projectile portion and has an outer surface that includes a circular locking rib feature that forms an interference fit with the sabot mouth. The polymer base projectile portion is configured to engage the rifling of the barrel to impart spin stabilization to the nonlethal projectile when propelled from the sabot in response to the expansion of a propellant gas.

Abstract: A node is provided that is configured to communicate in a cooperative broadcast multi-hop network that employs broadcast flood routing and multi-hop transmission using a direct-sequence spread-spectrum (DSSS) waveform. The node includes an antenna and a waveform module having a receiver processing chain. The antenna can receive a plurality of DSSS signals from other nodes on a particular channel, and output a channel that includes the plurality of DSSS signals. The plurality of DSSS signals include transmissions that are directly received from other nodes and multi-path components of those transmissions. The receiver processing chain can include a multi-user RAKE receiver that can combine, when performing demodulation processing, a plurality of transmissions directly received from the other nodes and multipath components of transmissions received from the other nodes. In some implementations, the node can perform cooperative beamforming and adaptive space-spectrum whitening.

Abstract: A mounting frame apparatus is provided for embedding cards within an electronics system and includes a multi-card swappable subsystem. The apparatus further includes a chassis for containing the multi-card swappable subsystem. One or more heatsinks are used for cooling cards disposed in the four-card swappable subsystem.

Abstract: Armored vehicles, weapon measurement system, and methods for determining barrel elevation of a gun, are provided. In one example, an armored vehicle includes a vehicle body portion and a gun having a barrel extending away from the vehicle body portion at a barrel elevation angle. A weapon measurement system includes a reference light generator arrangement configured to generate a reference light at a single wavelength or within a narrow wavelength band and to diffuse the reference light, thereby defining a distributed reference light. An image sensor arrangement includes an image sensor and a filter. The filter is configured to substantially block light that is at a different wavelength than the distributed reference light while allowing the distributed reference light to pass through to the image sensor for determining the barrel elevation angle.

Abstract: An optical communication system is configured to transmit and receive at least four multiplexed, differently-polarized, optically-transmitted signals. Each signal is associated with a predefined state of polarization. An optical transmitter is configured to transmit multiplexed, differently polarized, optically transmitted signals. An optical receiver is configured to receive the optically transmitted signals. The system includes a multi-polarization analyzer circuit configured to obtain an analyzed signal for each of the polarized signals in Stokes space. The analyzer circuit is configured to determine if the multiplexed signal has been transformed by extreme polarization-dependent loss (PDL), the receiver correcting for the extreme polarization-dependent loss.

Abstract: A node is provided for a cooperative broadcast multi-hop network that employs broadcast flood routing and multi-hop transmission. The node includes antennas and a waveform module having a receiver processing chain that can include an adaptive space-spectrum whitener (ASSW) module and a multi-user RAKE (mRAKE) receiver. Each antenna can receive output a channel that includes direct-sequence spread-spectrum signals received from other nodes and multi-path components of those transmissions. The ASSW module can perform adaptive space-spectrum whitening to detect and remove interference signals received from each of the channels by performing a covariance analysis to generate channelized signals. The ASSW module can include modified Discrete Fourier Transform (MDFT) analysis and synthesis modules that generate an interference mitigated time-domain channelized signals.

Abstract: Methods and systems are provided for detecting a defect in a solar panel. The method includes initially imaging, via an infrared camera, a group of solar panels. Then, identifying, via a computer system configured for solar panel defect detection, the individual solar panels in the group of solar panels. Finally, identifying, via evaluation of an infrared image obtained by the infrared camera, a defect in at least one of the group of solar panels.

Abstract: A method of optimizing spectrum usage in real-time for a plurality of networks is provided. The method includes: retrieving local spectrum usage data in a geographical area in which spectrum allocation is to take place; modeling the plurality of networks, using one or more quantum statistical models, as a system of interacting particles, wherein each particle represents a node in a network and is configurable to exist in one of several quantum states; selecting bandwidth allocation and utilization constraints for the nodes based on a system allocation intent; solving an optimization problem related to the system allocation intent to estimate specific frequency and bandwidth distributions to be allocated to each node by applying the selected one or more quantum statistical models, the selected bandwidth allocation and utilization constraints, and the captured local spectrum data; and instructing each node to operate within the specific bandwidth allocated to the node.

Abstract: A receiver is provided that includes a multi-user RAKE receiver that can receive a plurality of transmissions directly received from a plurality of nodes of a cooperative broadcast multi-hop network and multipath components of those transmissions, a combiner module and a data despreader module. The multi-user RAKE receiver includes correlator blocks for each of the plurality of nodes and a finger selection module. Each correlator block generates one or more candidate fingers for that particular node. The finger selection module can select a subset of the candidate fingers having sufficient correlation for further processing. The combiner module can combine aligned symbols for each of the subset of candidate fingers to generate and combine soft decisions across each of the channels into a joint soft decision. The data despreader module can despread and convert chips from respective data channels to generate demodulated data symbols that are converted into data soft-decision bits.

Abstract: A method of manufacturing a multi-layered propellant grain is provided. The method of the present disclosure simplifies the setup necessary to produce multi-layered propellants by using industrial equipment that is more energy and space efficient than the machinery that is conventionally employed for such processes. The method comprises providing a first propellant formulation; providing a die configured to provide a structure having an outer shell and a hollow interior when material is extruded therethrough; extruding the first propellant formulation through said die, to produce a first propellant layer having an outer shell defining a hollow interior in the form channel having open ends; providing a second propellant formulation, said second propellant formulation being of low viscosity; injecting said second propellant formulation into said channel defined by said first propellant layer to form a second propellant layer disposed in said channel; and hardening said second propellant layer.

Abstract: A cooperative broadcast multi-hop network that employs broadcast flood routing and multi-hop transmission using a direct-sequence spread-spectrum (DSSS) waveform with cooperative beamforming and adaptive space-spectrum whitening are provided.

Abstract: Systems and methods are provided for performing alignment calibration of an RF antenna in satellite communications. Data is received that is representative of inertial navigation system and gimbal angle measurement signals. The received data is collected while a vehicle is operated in a reduced yaw motion and while the RF antenna is tracking a satellite. Equations are used that describe a mathematical relationship among the misalignments, offsets, and latency mismatch to the antenna gimbal control servo measurements. Estimates are generated for certain errors involved in the alignment process. The generated estimates are provided for pointing the RF antenna.

Abstract: A signal generator outputs a reference signal corresponding to at least one wireless signal according to the predefined signal encoding to a channel emulator processor. The channel emulator processor is programmed to use at least one synthesized channel parameter and the reference signal to produce and store a perturbed signal as data for training machine learning and artificial intelligence systems. The synthesized channel parameter is synthesized using a channel synthesizer processor programmed to: ingest map elevation data, reference a transmitter and a receiver to the map elevation data, and perform ray tracing of a representative signal between the transmitter and the receiver, while applying at least one predetermined perturbation property to synthesize at least one channel parameter.

Abstract: The present invention is directed to systems and methods for detecting objects in a radar image stream. Embodiments of the invention can receive a data stream from radar sensors and use a deep neural network to convert the received data stream into a set of semantic labels, where each semantic label corresponds to an object in the radar data stream that the deep neural network has identified. Processing units running the deep neural network may be collocated onboard an airborne vehicle along with the radar sensor(s). The processing units can be configured with powerful, high-speed graphics processing units or field-programmable gate arrays that are low in size, weight, and power requirements. Embodiments of the invention are also directed to providing innovative advances to object recognition training systems that utilize a detector and an object recognition cascade to analyze radar image streams in real time.

Abstract: Embodiments of the present invention relate to systems and methods for improving the training of machine learning systems to recognize certain objects within a given image by supplementing an existing sparse set of real-world training images with a comparatively dense set of realistic training images. Embodiments may create such a dense set of realistic training images by training a machine learning translator with a convolutional autoencoder to translate a dense set of synthetic images of an object into more realistic training images. Embodiments may also create a dense set of realistic training images by training a generative adversarial network (“GAN”) to create realistic training images from a combination of the existing sparse set of real-world training images and either Gaussian noise, translated images, or synthetic images.

Abstract: Embodiments of the present invention relate to systems and methods for improving the training of machine learning systems to recognize certain objects within a given image by supplementing an existing sparse set of real-world training images with a comparatively dense set of realistic training images. Embodiments may create such a dense set of realistic training images by training a machine learning translator with a convolutional autoencoder to translate a dense set of synthetic images of an object into more realistic training images. Embodiments may also create a dense set of realistic training images by training a generative adversarial network (“GAN”) to create realistic training images from a combination of the existing sparse set of real-world training images and either Gaussian noise, translated images, or synthetic images.

Abstract: Embodiments of the present invention relate to systems and methods for improving the training of machine learning systems to recognize certain objects within a given image by supplementing an existing sparse set of real-world training images with a comparatively dense set of realistic training images. Embodiments may create such a dense set of realistic training images by training a machine learning translator with a convolutional autoencoder to translate a dense set of synthetic images of an object into more realistic training images. Embodiments may also create a dense set of realistic training images by training a generative adversarial network (“GAN”) to create realistic training images from a combination of the existing sparse set of real-world training images and either Gaussian noise, translated images, or synthetic images.

Abstract: Embodiments of the present invention relate to systems and methods for improving the training of machine learning systems to recognize certain objects within a given image by supplementing an existing sparse set of real-world training images with a comparatively dense set of realistic training images. Embodiments may create such a dense set of realistic training images by training a machine learning translator with a convolutional autoencoder to translate a dense set of synthetic images of an object into more realistic training images. Embodiments may also create a dense set of realistic training images by training a generative adversarial network (“GAN”) to create realistic training images from a combination of the existing sparse set of real-world training images and either Gaussian noise, translated images, or synthetic images.

Abstract: Embodiments of the present disclosure relate to an electric motor drive system for driving a low-voltage motor. The low-voltage motor includes a rotor and a stator that comprises a number of single-turn coils. A motor drive controller can control the low-voltage motor. The motor drive controller includes a current source inverter. The current source inverter includes driver circuitry configured to generate switching commands, a variable current source and motor commutation circuitry. The variable current source can generate a variable current that regulates power in the low-voltage motor. The motor commutation circuitry receives the variable current and switching commands, and commutates phase currents that are output to the low-voltage motor.

Abstract: A cable containing an optical fiber is used to transmit data between an underwater remotely operated vehicle (ROV) and a support vessel floating on the surface of the water. The ROV stores the cable on a spool and releases the cable into the water as the ROV dives away from the support vessel. The ROV detects the tension in the cable and the rate that the cable is released from the ROV is proportional to the detected tension in the cable. After the ROV has completed the dive and retrieved by the support vessel, the cable can be retrieved from the water and rewound onto the spool in the ROV.