Abstract: Examples described herein include sliding window methods for calculating frequency-localized weights for adaptive beamformers. A window of subcarriers may be used to calculate a cross-correlation vector, inverse covariance matrix, or other components used in a weight calculation for a particular subcarrier. In some examples, a next window of subcarriers may include additional subcarriers, and may not include other subcarriers. The previously-calculated cross-correlation vector, inverse covariance matrix, or other components may be updated in accordance with updates and downdates associated with the added and removed subcarriers. The updated components may be used to generate weights for a subcarrier in the next window.

Abstract: A distributed capacity base station system and method are disclosed. The system may provide a cost effective, high capacity broadband wireless access solution that can co-exist with GPS without interference to the GPS system.

Abstract: Examples described herein include examples of wireless communication devices, systems, and methods which may employ multicarrier frequency division duplexing (multicarrier-FDD) techniques. Such techniques may enhance capacity and/or latency of example beamforming and MIMO systems. In some examples, the techniques described herein may be particularly advantageous in fast changing channels. Example channel duplexing techniques and methods described herein may achieve more efficient handling of fast fading channels by space-time adaptive (STAP) and/or adaptive array systems.

Abstract: A wireless communication network and wireless communication method are disclosed. The network has a plurality of transceivers forming a wireless communication network in which the plurality of transceivers include one or more central nodes and each end node capable of connecting to the one or more central nodes and forming a link. At least some of the transceivers of the network having a plurality of antennas and an array processing element coupled to the plurality of antennas and at least some of the transceivers are housed in an aerial communication node that may be a mini-satellite, a balloon or a drone.

Abstract: Examples described herein include recursive techniques for calculating frequency-localized weights for adaptive beamformers. Components of solutions for other subcarriers are weighted and used to calculate weights for a particular subcarrier. For example, a previously-calculated cross-correlation vector and/or inverse covariance matrix from another subcarrier may be updated for use in calculating weights for a subsequent subcarrier. In some examples, the previously-calculated components are weighted by a forgetting factor. The previously-calculated components themselves may have weighted contributions from yet previously-calculated components.

Abstract: Examples described herein include Weighted Overlap Beamform and Add techniques for calculating frequency-localized weights for adaptive beamformers. Intermediate weights are calculated for overlapping subbands (e.g., using a least-squares solution or a windowed least-squares solution). Each set of intermediate weights may be multiplied by an overlap factor, and combined to provide final weights for a subcarrier.

Abstract: A wireless communication network and wireless communication method are disclosed. The network has a plurality of transceivers forming a wireless communication network in which the plurality of transceivers include one or more central nodes and each end node capable of connecting to the one or more central nodes and forming a link. At least some of the transceivers of the network having a plurality of antennas and an array processing element coupled to the plurality of antennas and at least some of the transceivers are housed in an aerial communication node that may be a mini-satellite, a balloon or a drone.

Abstract: Examples described herein include sliding window methods for calculating frequency-localized weights for adaptive beamformers. A window of subcarriers may be used to calculate a cross-correlation vector, inverse covariance matrix, or other components used in a weight calculation for a particular subcarrier. In some examples, a next window of subcarriers may include additional subcarriers, and may not include other subcarriers. The previously-calculated cross-correlation vector, inverse covariance matrix, or other components may be updated in accordance with updates and downdates associated with the added and removed subcarriers. The updated components may be used to generate weights for a subcarrier in the next window.

Abstract: A wireless communications system that uses adaptive arrays is disclosed in which the capacity is optimized. A method for optimizing the capacity of a wireless communications system that uses adaptive arrays is also disclosed. The wireless communication system may be a point to multi-point (P2MP) and/or a multi-point to multi-point (MP2MP) STAP system.

Abstract: Examples described herein include Weighted Overlap Beamform and Add techniques for calculating frequency-localized weights for adaptive beamformers. Intermediate weights are calculated for overlapping subbands (e.g., using a least-squares solution or a windowed least-squares solution). Each set of intermediate weights may be multiplied by an overlap factor, and combined to provide final weights for a subcarrier.

Abstract: A distributed capacity base station system and method are disclosed. The system may provide a cost effective, high capacity broadband wireless access solution that can co-exist with GPS without interference to the GPS system.

Abstract: A distributed capacity base station system and method are disclosed. The system may provide a cost effective, high capacity broadband wireless access solution that can co-exist with GPS without interference to the GPS system.

Abstract: A wireless communication network and wireless communication method are disclosed. The network has a plurality of transceivers forming a wireless communication network in which the plurality of transceivers include one or more central nodes and each end node capable of connecting to the one or more central nodes and forming a link. At least some of the transceivers of the network having a plurality of antennas and an array processing element coupled to the plurality of antennas and at least some of the transceivers are housed in an aerial communication node that may be a mini-satellite, a balloon or a drone.

Abstract: A wireless communications system that uses adaptive arrays is disclosed in which the capacity is optimized. A method for optimizing the capacity of a wireless communications system that uses adaptive arrays is also disclosed. The wireless communication system may be a point to multi-point (P2MP) and/or a multi-point to multi-point (MP2MP) STAP system.