Abstract: A system for keyless entry applications using beamforming transmission in a millimeter wave spectrum in an environment. A memory with data including values indicative of link attributes associated with beam signal measurements with states of devices and states of environments. The states of the devices for each device including types of user behavior, locations and poses in each environment. Control circuitry performs beam training with a target device associated with at least one keyless entry application in the environment to measure beam signal values and environmental responses for different beams transmitted over the different beam angles. Selects, in response to the beam training, at least one dominant angle for a beamforming communication with the target device. Estimates, a state of the target device associated with the at least one keyless entry application or a state of the environment, corresponding to environmental responses for different beams estimated during the beam training.

Abstract: Systems and methods for scheduling data traffic in a wireless time sensitive network (TSN). A computer configured to synchronize clocks of all nodes with a common clock in the TSN. Obtain data traffic information for the TSN using a network scheduler to establish routing paths. Determine routing paths using the obtained data traffic information and stored routing information via a memory. Compute a link communication delay for each link of the one or more relay nodes connecting a source node to a destination node of the TSN for each TSN stream using a network scheduler. Determine interfering links for each wireless link using the network scheduler. Determining a scheduling period using the network scheduler. Determine optimal scheduling using an optimal scheduling module. Generate the gate control list for each egress port of the wired node and the wireless transmitter of the TSN, and begin transmission of the data.

Abstract: A wireless smart utility networks (Wi-SUN) device participating in a Wi-SUN network for coexistence with a Wi-Fi HaLow network sharing frequency spectra between the networks is disclosed. The Wi-SUN device includes a receiver to receive packets of neighbor Wi-SUN devices, a memory configured to store computer executable programs including a Hybrid carrier-sense multiple access (CSMA) control program and Wi-SUN Backoff control Program, a processor configured to execute the Hybrid CSMA control program, including instructions that cause the processor to perform steps of estimating a severity of Wi-Fi Halow interference based on a severity detection method, switching a backoff mode between predetermined backoff modes in response to the estimated severity, and performing a backoff procedure according to the selected backoff mode, and a transmitter to transmit packets.

Abstract: A multiple input multiple output (MIMO) radar system for detecting a moving object is based on an explicit signal model. The explicit signal model accounts for waveform separation residuals by relating measurements of the virtual array to an auto-term including a Kronecker product of object-receiver signatures and transmitter-object signatures; and a cross-term including a Kronecker product of object-receiver signatures and transmitter-object residual signatures. The radar system uses a spatial MIMO object detector that is based on the explicit signal model to detect the moving object.

Abstract: A system jointly controls vehicles according to traffic configuration of a zone of intersection of a first road and a second road. The intersection zone includes a sequencing zone and a control zone covering sections of the first and the second road in proximity to the intersection. The system groups vehicles traveling within the sequencing zone on the first and the second roads into a set of groups of the vehicles and prevents the vehicles of different groups to travel concurrently in the control zone such that the first vehicle of the following group cannot pass the last vehicle of the preceding group. The system determines motion trajectories for the vehicles of the same group traveling in the control zone on the first and the second roads to pass the intersection and transmits the motion trajectories to the corresponding vehicles.

Abstract: Systems and methods for scheduling data traffic in a wireless time sensitive network (TSN). A computer configured to synchronize clocks of all nodes with a common clock in the TSN. Obtain data traffic information for the TSN using a network scheduler to establish routing paths. Determine routing paths using the obtained data traffic information and stored routing information via a memory. Compute a link communication delay for each link of the one or more relay nodes connecting a source node to a destination node of the TSN for each TSN stream using a network scheduler. Determine interfering links for each wireless link using the network scheduler. Determining a scheduling period using the network scheduler. Determine optimal scheduling using an optimal scheduling module. Generate the gate control list for each egress port of the wired node and the wireless transmitter of the TSN, and begin transmission of the data.

Abstract: A communication system using beamforming transmission in a millimeter wave spectrum in an environment. A memory with data including values indicative of link attributes associated with beam signal measurements with states of devices and states of environments. The states of the devices for each device including types of user behavior, locations and poses in each environment. The states of the environments for each environment including, locations of physical objects and types of behavior of ambient users. Control circuitry performs beam training with a target device in environment to measure beam signal values and environmental responses for different beams transmitted over the different beam angles. Selects, in response to the beam training, at least one dominant angle for a beamforming communication with the target device. Estimates, one of a state of the target device or a state of the environment, corresponding to environmental responses for different beams estimated during the beam training.

Abstract: An apparatus for processing a perturbation quantity received in a wireless network. The perturbation quantity including a non-linear effect from at least one transmitted signal of the wireless network. The apparatus including a Base Station (BS) configured to establish a link between the BS and a user equipment (UE). A processing circuit is configured to implement receiver-side decoders. Wherein a receiver-side decoder is configurable to provide a recovery of unknown symbols perturbed by the perturbation quantity, the recovery is at a receiver-side and the perturbation is at the transmitter-side. Provide receiver-side decoding for symbol detection of symbol-dependent transmit-side perturbations by imposing a hierarchical signal model on the transmitted symbol.

Abstract: A system and a method for tracking an expanded state of an object including a kinematic state indicative of a position of the object and an extended state indicative of one or combination of a dimension and an orientation of the object is provided herein. The system comprises at least one sensor configured to probe a scene including a moving object with one or multiple signal transmissions to produce one or multiple measurements of the object per the transmission, and a processor configured to execute a probabilistic filter tracking a joint probability of the expanded state of the object estimated by a motion model of the object and a measurement model of the object, wherein the measurement model includes a center-truncated distribution having predetermined truncation intervals. The system further comprises an output interface configured to output the expanded state of the object.

Abstract: A system and a method for tracking an expanded state of an object including a kinematic state indicative of a position of the object and an extended state indicative of one or combination of a dimension and an orientation of the object is provided herein. The system comprises at least one sensor configured to probe a scene including a moving object with one or multiple signal transmissions to produce one or multiple measurements of the object per the transmission, and a processor configured to execute a probabilistic filter tracking a joint probability of the expanded state of the object estimated by a motion model of the object and a measurement model of the object, wherein the measurement model includes a center-truncated distribution having truncation intervals. The system further comprises an output interface configured to output the expanded state of the object.

Abstract: A robot configured for multi-robot pose estimation execute iteratively the primary particle filter and the secondary particle filter independently from each other to update the pose estimations in the primary and the secondary particles. In response to each encounter of the robot with a neighboring robot, the robot receives neighboring particles of a particle filter of the neighboring robot identifying poses and likelihoods of the poses of the neighboring robot and replaces the primary particles of the primary particle filter with the secondary particles fused with the neighboring particles. The robot outputs its pose according to the primary particles of the primary particle filter.

Abstract: A positioning system for tracking a position of a vehicle includes a receiver configured to receive phase measurements of satellite signals received at multiple instances of time from multiple satellites, and a memory configured to store a recurrent neural network trained to determine a position of the vehicle from a set of phase measurements in a presence of noise caused by a multipath transmission of at least some of the satellite signals at some instances of time. A processor of the positioning system is configured to track the position of the vehicle over different instances of time by processing the set of phase measurements received at each instance of time with the recurrent neural network to produce the position of the vehicle at each instance of time.

Abstract: A traffic control system for controlling traffic at interconnected intersections is provided, where the system comprises a receiver that receives traffic data that indicates states of vehicles approaching an intersection of the interconnected intersections and directions of the vehicles exiting the intersection. Further, the system comprises a processor that determines intersection crossing times and velocities of vehicles approaching the intersection by minimizing at least one of a total travel time or a maximum travel time of the vehicles for crossing the intersection. The contribution of each vehicle of the vehicles approaching the intersection in the at least one of a total travel time or a maximum travel time is weighted based on directions of the vehicles and traffic at next intersection. Further, the system comprises a transmitter that transmits the intersection crossing times and velocities to the vehicles exiting the intersection for controlling the traffic at the interconnected intersections.

Abstract: A scanner for image reconstruction of a structure of a target object uses a neural network trained to classify each segment of a sequence of segments of a modified wave into one or multiple classes. The sequence of segments corresponds to the sequence of layers of the target object, such that a segment of modified wave corresponds to a layer having the same index in the sequence of layers as an index of the segment in the sequence of segments. The scanner executes the neural network for each wave modified by penetration through the layers of the target object to produce the classes of segments of the modified waves. Next, the scanner selects the classes of segments of different modified waves corresponding to the same layer to produce an image of the layer of the target object with pixel values being functions of labels of the selected classes.

Abstract: An apparatus for processing a perturbation quantity received in a wireless network. The perturbation quantity including a non-linear effect from at least one transmitted signal of the wireless network. The apparatus including a Base Station (BS) configured to establish a link between the BS and a user equipment (UE). A processing circuit is configured to implement receiver-side decoders. Wherein a receiver-side decoder is configurable to provide a recovery of unknown symbols perturbed by the perturbation quantity, the recovery is at a receiver-side and the perturbation is at the transmitter-side. Provide receiver-side decoding for symbol detection of symbol-dependent transmit-side perturbations by imposing a hierarchical signal model on the transmitted symbol.

Abstract: A communication system using beamforming transmission in a millimeter wave spectrum in an environment. A memory with data including values indicative of link attributes associated with beam signal measurements with states of devices and states of environments. The states of the devices for each device including types of user behavior, locations and poses in each environment. The states of the environments for each environment including, locations of physical objects and types of behavior of ambient users. Control circuitry performs beam training with a target device in environment to measure beam signal values and environmental responses for different beams transmitted over the different beam angles. Selects, in response to the beam training, at least one dominant angle for a beamforming communication with the target device. Estimates, one of a state of the target device or a state of the environment, corresponding to environmental responses for different beams estimated during the beam training.

Abstract: A system for keyless entry applications using beamforming transmission in a millimeter wave spectrum in an environment. A memory with data including values indicative of link attributes associated with beam signal measurements with states of devices and states of environments. The states of the devices for each device including types of user behavior, locations and poses in each environment. Control circuitry performs beam training with a target device associated with at least one keyless entry application in the environment to measure beam signal values and environmental responses for different beams transmitted over the different beam angles. Selects, in response to the beam training, at least one dominant angle for a beamforming communication with the target device. Estimates, a state of the target device associated with the at least one keyless entry application or a state of the environment, corresponding to environmental responses for different beams estimated during the beam training.

Abstract: A system for railway applications using beamforming transmission in a millimeter wave spectrum between antennas of a Communications Based Train Control (CBTC) system and devices in an environment. Performing a beam training with a target device of the devices located in the environment to measure beam signal values and environmental responses for different beams transmitted over the different beam angles using control circuitry connected with the antennas. Control circuitry selects, in response to the beam training, at least one dominant angle for a beamforming communication with the target device. Access stored fingerprinting data that includes values indicative of link attributes associated with beam signal measurements with states of devices and states of environments. Estimating from the mapping stored fingerprinting data, a state of the target device and/or a state of the environment, corresponding to environmental responses for different beams estimated during the beam training.

Abstract: A wireless smart utility network (Wi-SUN) device participating in a Wi-SUN network for coexistence with a Wi-Fi HaLow network sharing frequency spectra between the networks is provided.

Abstract: A wireless smart utility networks (Wi-SUN) device participating in a Wi-SUN network for coexistence with a Wi-Fi HaLow network sharing frequency spectra between the networks is disclosed. The Wi-SUN device includes a receiver to receive packets of neighbor Wi-SUN devices, a memory configured to store computer executable programs including a Hybrid carrier-sense multiple access (CSMA) control program and Wi-SUN Backoff control Program, a processor configured to execute the Hybrid CSMA control program, including instructions that cause the processor to perform steps of estimating a severity of Wi-Fi Halow interference based on a severity detection method, switching a backoff mode between predetermined backoff modes in response to the estimated severity, and performing a backoff procedure according to the selected backoff mode, and a transmitter to transmit packets.