Abstract: For example, a radar processor may be configured to determine a first 1D AoA spectrum corresponding to a first dimension of an Azimuth-Elevation domain based on radar Rx data, to determine a second 1D AoA spectrum corresponding to a second dimension of the Azimuth-Elevation domain based on the radar Rx data, to detect one or more first object hypotheses in the first dimension based on the first 1D AoA spectrum, to detect one or more second object hypotheses in the second dimension based on the second 1D AoA spectrum, to determine a plurality of 2D object hypotheses corresponding to the Azimuth-Elevation domain based on the first object hypotheses and the second object hypotheses, and to generate 2D AoA information based on a 2D AoA spectrum analysis of the radar Rx data according to the plurality of 2D object hypotheses.

Abstract: For example, a radar processor may be configured to determine a first 1D AoA spectrum corresponding to a first dimension of an Azimuth-Elevation domain based on radar Rx data, to determine a second 1D AoA spectrum corresponding to a second dimension of the Azimuth-Elevation domain based on the radar Rx data, to detect one or more first object hypotheses in the first dimension based on the first 1D AoA spectrum, to detect one or more second object hypotheses in the second dimension based on the second 1D AoA spectrum, to determine a plurality of 2D object hypotheses corresponding to the Azimuth-Elevation domain based on the first object hypotheses and the second object hypotheses, and to generate 2D AoA information based on a 2D AoA spectrum analysis of the radar Rx data according to the plurality of 2D object hypotheses.

Abstract: A spatial cognitive radar system, method of assembling the radar, and method of selecting antenna elements in the radar are described. The system includes a phased array of a plurality of antenna elements and a plurality of receiver channels, the plurality of receiver channels being a value greater than one and less than a number of the plurality of antenna elements. The system also includes a processor to determine a subset of the plurality of antenna elements, equal in number to the plurality of receiver channels, to be used in transmitting or receiving with the spatial cognitive radar system.

Abstract: A system for cancelling interference in a wireless network, the system comprising apparatus for computing and outputting at least N weighting vectors; and apparatus for cancelling interference from antennae outputs received by the system using the weighting vectors respectively by converting the weighting vectors into FIR filter coefficients and applying FIR filters corresponding to the FIR filter coefficients to derivatives of antennae outputs received by the system. The apparatus for computing and outputting weighting vectors may be operative by estimating a spatial signature while distinguishing interference spatial signature from desired signal spatial signature although both are received simultaneously.

Abstract: A cognitive transmission switching array radar system to determine a location of a target and method of performing cognitive transmission switching with an array radar system involve N transmit antenna elements. Aspects include obtaining a crude estimation for the location of the target, and selecting M channels for transmission based on the crude estimation, the M channels corresponding with a subset of the N transmit antenna elements. Processing reflections resulting from the M channels is done to determine the location of the target.

Abstract: A system for cancelling interference in a wireless network, the system comprising apparatus for computing and outputting at least N weighting vectors; and apparatus for cancelling interference from antennae outputs received by the system using the weighting vectors respectively by converting the weighting vectors into FIR filter coefficients and applying FIR filters corresponding to the FIR filter coefficients to derivatives of antennae outputs received by the system. The apparatus for computing and outputting weighting vectors may be operative by estimating a spatial signature while distinguishing interference spatial signature from desired signal spatial signature although both are received simultaneously.

Abstract: A system for cancelling interference in a wireless network, the system comprising apparatus for computing and outputting at least N weighting vectors; and apparatus for cancelling interference from antennae outputs received by the system using the weighting vectors respectively by converting the weighting vectors into FIR filter coefficients and applying FIR filters corresponding to the FIR filter coefficients to derivatives of antennae outputs received by the system. The apparatus for computing and outputting weighting vectors may be operative by estimating a spatial signature while distinguishing interference spatial signature from desired signal spatial signature although both are received simultaneously.

Abstract: A spatial cognitive radar system, method of assembling the radar, and method of selecting antenna elements in the radar are described. The system includes a phased array of a plurality of antenna elements and a plurality of receiver channels, the plurality of receiver channels being a value greater than one and less than a number of the plurality of antenna elements. The system also includes a processor to determine a subset of the plurality of antenna elements, equal in number to the plurality of receiver channels, to be used in transmitting or receiving with the spatial cognitive radar system.

Abstract: A system for cancelling interference in a wireless network, the system comprising apparatus for computing and outputting at least N weighting vectors; and apparatus for cancelling interference from antennae outputs received by the system using the weighting vectors respectively by converting the weighting vectors into FIR filter coefficients and applying FIR filters corresponding to the FIR filter coefficients to derivatives of antennae outputs received by the system. The apparatus for computing and outputting weighting vectors may be operative by estimating a spatial signature while distinguishing interference spatial signature from desired signal spatial signature although both are received simultaneously.

Abstract: An antenna array and signal preprocessing apparatus and method. The antenna array is a quadrature polarized array having two orthogonal electric dipoles and two orthogonal magnetic dipoles. The preprocessor is for preprocessing signals from the antenna, for obtaining spatial spectrum information for signal source location. The preprocessor comprises an autocorrelator, connected after said input, for forming signal autocorrelation matrices for each element, and an smoother, connected after said autocorrelator, for averaging said autocorrelation matrices, thereby to form a sample covariance matrix suitable for use in a Eigenstructure based estimator for estimating source localization.

Abstract: A method and a device for the acoustic detection of a one lung intubation situation in a human subject are disclosed. According to some embodiments, the disclosed method includes computing an autoregressive moving average (ARMA) or an autoregressive function of electrical signals received from acoustic detectors placed at different locations on the body of the subject. Appropriate locations for acoustic detectors include the back region and the chest region. The disclosed method and apparatus are insensitive to uncancelled, random background noise with a loudness associated with an operating room or intensive care ward. The disclosed device is configurable so that the relative occurrence rate of missed detections or false negatives and false positive alarms can be modified. In one exemplary embodiment, the device is adapted such that at most 9% of identifications are false positive identifications, and at most 2% of identifications are false negative identifications.

Abstract: An antenna array and signal preprocessing apparatus and method. The antenna array is a quadrature polarized array having two orthogonal electric dipoles and two orthogonal magnetic dipoles. The preprocessor is for preprocessing signals from the antenna, for obtaining spatial spectrum information for signal source location. The preprocessor comprises an autocorrelator, connected after said input, for forming signal autocorrelation matrices for each element, and an smoother, connected after said autocorrelator, for averaging said autocorrelation matrices, thereby to form a sample covariance matrix suitable for use in a Eigenstructure based estimator for estimating source localization.