Abstract: Provided herein are systems, methods, and computer program products for use in detecting and responding to patient neuromorbidity. The method includes receiving patient cohort data from an electronic health record system and identifying features of the patient cohort data using a feature selection evaluating parameter. The method also includes training, using the features, a patient classification model configured to classify patients according to neuromorbidity risk. The method further includes receiving a patient dataset associated with a patient and generating, by inputting the patient dataset into the patient classification model, a patient classification of the patient comprising a probability of the patient developing a neuromorbidity over a time period.

Abstract: A system for detecting and defeating a drone is disclosed which includes a detection antenna array configured to detect the drone and a control signal of the drone in a 360 degree field, the detection antenna array being further configured to detect the directionality of the drone with reference to the most dominant of the control signal of the drone detected by each of a plurality of antennas within the detection antenna array; a neutralization system disposed in communication with the detection antenna array; the neutralization system including a transmission antenna configured to transmit an override signal to the detected drone, an amplifier configured to modulate a gain of the override signal, and a processing device configured to generate the override signal and control transmission of the override signal.

Abstract: A radio receiver is disclosed, comprising: a receiving stage configured to receive a multi-layered signal comprising a plurality of layers; a division stage configured to divide the plurality of layers into a first subset and a second subset; a first whitening filter configured to filter the multi-layered signal based on a noise and interference covariance measure derived from the second subset to provide a first filtered multi-layered signal; and a first detection stage configured to detect at least one layer of the first subset based on the first filtered multi-layered signal.

Abstract: The invention is directed to methods for radio frequency spectral analysis. Accordingly, flight instructions are executed on a first UAV to fly in a first flight pattern relative to a signal source. The first UAV detects radio signal(s) from the signal source and associated signal data. Flight instructions are concurrently executed on a second UAV to fly in a second flight pattern, relative to the first flight pattern of the first UAV. The second UAV also detects radio signal(s) from the signal source and associated signal data. The stored signal data from the drones may then be processed for visualization.

Abstract: A system for detecting and defeating a drone is disclosed which includes a detection antenna array configured to detect the drone and a control signal of the drone in a 360 degree field, the detection antenna array being further configured to detect the directionality of the drone with reference to the most dominant of the control signal of the drone detected by each of a plurality of antennas within the detection antenna array; a neutralization system disposed in communication with the detection antenna array; the neutralization system including a transmission antenna configured to transmit an override signal to the detected drone, an amplifier configured to modulate a gain of the override signal, and a processing device configured to generate the override signal and control transmission of the override signal.

Abstract: The disclosure relates to a radio receiver, comprising: a receiving stage configured to receive a multi-layered signal comprising a plurality of layers; a division stage configured to divide the plurality of layers into a first subset and a second subset (206); a first whitening filter configured to filter the multi-layered signal based on a noise and interference covariance measure derived from the second subset to provide a first filtered multi-layered signal; and a first detection stage configured to detect at least one layer of the first subset based on the first filtered multi-layered signal.

Abstract: The invention is directed to methods for radio frequency spectral analysis. Accordingly, flight instructions are executed on a first UAV to fly in a first flight pattern relative to a signal source. The first UAV detects radio signal(s) from the signal source and associated signal data. Flight instructions are concurrently executed on a second UAV to fly in a second flight pattern, relative to the first flight pattern of the first UAV. The second UAV also detects radio signal(s) from the signal source and associated signal data. The stored signal data from the drones may then be processed for visualization.

Abstract: The invention is directed to a UAV, system, and method for radio frequency spectral analysis. Accordingly, an unmanned aerial vehicle (UAV) having a flight body, a flight module, a geolocation module, and a signal detection module is utilized to detect and store signal data associated with various radio signal(s) during flight. The signal data may then be displayed on a processing device to provide a user with a visualization of the signal data parameters in various points of three dimensional space and at particular recorded times.

Abstract: A method includes receiving a signal including a two-dimensional signal pattern in a time-frequency representation, the two-dimensional signal pattern including reference signals at first predetermined positions in the two-dimensional signal pattern. The method further includes determining a frequency-time transformation based on the reference signals to obtain a time-domain signal. The method further includes determining a first cell identification information based on a threshold criterion with respect to the time-domain signal.

Abstract: Acquisition and tracking modes for a mobile device assisted multilateration based localization are disclosed. A relative time difference is determined between a positioning reference cell and at least two other detectable positioning cells. A reference signal of a positioning cell is detected to determine timing of a detectable positioning cell by either applying sliding window approach to acquire the positioning cell or a single window approach to track the positioning cell. The sliding window approach within a search window is applied to acquire the positioning cell when a coarse timing of the positioning cell has not yet been achieved. A single window approach is applied to track the positioning cell when a coarse timing of the positioning cell has been achieved or when the search window is not larger than a capture range capability of the mobile device.

Abstract: The invention is directed to a system for detecting and defeating a drone. The system has a detection antenna array structured and configured to detect the drone and the drone control signal over a 360 degree field relative to the detection antenna array including detecting the directionality of the drone. The system also includes a neutralization system structured and configured in a communicating relation with the detection antenna array. The neutralization system has a transmission antenna structured to transmit an override signal aimed at the direction of the drone, an amplifier configured to boost the gain of the override signal to exceed the signal strength of the drone control signal, and a processing device configured to create and effect the transmission of the override signal. The invention is also directed to a method for detecting and defeating a drone.

Abstract: A device for use in a mobile communication user equipment, UE, includes processing circuitry to: receive cell data pertaining to a plurality of assistance data cells, and receive offset information, wherein the offset information describes respective LTE frame offsets between an assistance data reference cell and each of a plurality of neighbour cells. A location server to provide positioning assistance data to a user equipment, UE, comprises processing circuitry to: determine offset information describing respective LTE frame time offsets between an assistance data reference cell and each of a plurality of neighbour cells.

Abstract: The method according to the present disclosure introduces acquisition and tracking modes for a mobile device assisted multilateration based localization method. The method is employed for determining a relative time difference between a positioning reference cell and at least two other detectable positioning cells. The method includes in a mobile device attempting to detect a reference signal of a positioning cell to determine the timing of a detectable positioning cell by either applying sliding window approach to acquire the positioning cell or a single window approach to track the positioning cell. The sliding window approach within a search window is applied to acquire the positioning cell when a coarse timing of the positioning cell has not yet been achieved. A coarse timing is said to be achieved when only a fine timing is further required. This is the case when the remaining search window has a size that is not larger than the capture range capability of the mobile device.

Abstract: A method for radio link monitoring includes: weighting a sequence of signal-to-noise ratios of the radio link with a weighting function of the sequence of signal-to-noise ratios; and monitoring an average of the weighted sequence of signal-to-noise ratios of the radio link.

Abstract: The method includes receiving a signal in a multiple carrier mobile communication system, the signal including at least two reference symbols of different types, determining a first channel estimate at a symbol position of a first reference symbol of a first type, determining a second channel estimate at a symbol position of a second reference symbol of a second type, and determining a quantity being a function of a cross-correlation between the first and second channel estimate.

Abstract: A method includes receiving a signal including a two-dimensional signal pattern in a time-frequency representation, the two-dimensional signal pattern including reference signals at first predetermined positions in the two-dimensional signal pattern. The method further includes determining a frequency-time transformation based on the reference signals to obtain a time-domain signal. The method further includes determining a first cell identification information based on a threshold criterion with respect to the time-domain signal.

Abstract: Embodiments related to retransmission in data communication systems are described and depicted. In one embodiment, a data packet is received and separated to a plurality of data fragments. Information indicating whether a fragment of the plurality of fragments is to be protected by retransmission is provided or information indicating whether a group of fragments is to be protected by retransmission is provided. A request for retransmission from the second transceiver unit to the first transceiver unit may be generated. Based on the request, one or more identified data fragments may be retransmitted.

Abstract: A method for determining a signal detection quality for a physical control channel is provided. The method may include detecting, via a physical control channel, a first group of at least one radio resource element and a second group of at least one radio resource element, wherein the first group and the second group are non-contiguous in time and frequency with respect to radio resource elements of the physical control channel; and determining the signal detection quality based on the detected first group of resource elements and the detected second group of resource elements.

Abstract: Embodiments related to retransmission and a retransmission request are described and depicted.

Abstract: A method includes receiving a signal comprising a symbol-carrier matrix, the symbol-carrier matrix including a predetermined pattern of reference symbols, and determining at least one channel estimate ?i,k at at least one of the reference symbol positions of the reference symbols in the symbol-carrier matrix, wherein i=0,1,2, . . . is the carrier index and k=0,1,2, . . . is the symbol index of the symbol-carrier matrix. The method further includes determining a Doppler spread {circumflex over (?)}D on the basis of the at least one channel estimate ?i,k.