Iterative methods for direction of arrival estimation of a signal at a receiver with a plurality of spatially separated sensor elements are described. A quantized estimate of the angle of arrival is obtained from a compressive sensing solution of a set of equations. The estimate is refined in a subsequent iteration by a computed error based a quantized estimate of the direction of arrival in relation to quantization points offset from the quantization points for the first quantized estimate of the angle of arrival. The iterations converge on an estimated direction of arrival.

Procedures are disclosed to enable a wireless device to determine its alignment direction toward a base station or another device in 5G or 6G, using a “phased beam-alignment pulse”, which is a transmitted pulse having phase modulation that varies with angle. For example, the pulse may be transmitted spanning 360 degrees of angle, and may be phase modulated varying from 0 to 360 degrees of phase in the same angular range. A user device can receive the phased beam-alignment pulse and immediately determine, from the phase, the alignment angle toward the transmitter. In another embodiment, the transmitter transmits a uniform, non-directional pulse, and the receiver receives it using an antenna configured to impose an angle-dependent phase shift, thereby indicating the alignment direction. With either method, wireless entities can align their beams rapidly and efficiently, using just one or two resource elements, without complex encoding or time-consuming handshaking.

Procedures are disclosed to enable a wireless device to determine its alignment direction toward a base station or another device in 5G or 6G, using a “phased beam-alignment pulse”, which is a transmitted pulse having phase modulation that varies with angle. For example, the pulse may be transmitted spanning 360 degrees of angle, and may be phase modulated varying from 0 to 360 degrees of phase in the same angular range. A user device can receive the phased beam-alignment pulse and immediately determine, from the phase, the alignment angle toward the transmitter. In another embodiment, the transmitter transmits a uniform, non-directional pulse, and the receiver receives it using an antenna configured to impose an angle-dependent phase shift, thereby indicating the alignment direction. With either method, wireless entities can align their beams rapidly and efficiently, using just one or two resource elements, without complex encoding or time-consuming handshaking.

The angle of departure (AOD) of directed beams, e.g., beamformed beams, transmitted by one or more base stations, such as a gNB, and the angle of arrival (AOA) of the directed beams received by a UE may be used to improve positioning accuracy by identifying Line Of Sight (LOS) beams and multi-path beams. The differential AOA (DAOA) of a directed beam pair may compared to the differential AOD (DAOD) of the directed beam pair. Matching DAOA and DAOD may be used as an indication that the directed beams in the beam pair are LOS with the UE, whereas a mis-match indicates one or both of the directed beams are multi-path. The location of the UE may be estimated using the measurement information, e.g., AOA, RTT, RSTD, etc., obtained from LOS directed beams.

The angle of departure (AOD) of directed beams, e.g., beamformed beams, transmitted by one or more base stations, such as a gNB, and the angle of arrival (AOA) of the directed beams received by a UE may be used to improve positioning accuracy by identifying Line Of Sight (LOS) beams and multi-path beams. The differential AOA (DAOA) of a directed beam pair may compared to the differential AOD (DAOD) of the directed beam pair. Matching DAOA and DAOD may be used as an indication that the directed beams in the beam pair are LOS with the UE, whereas a mis-match indicates one or both of the directed beams are multi-path. The location of the UE may be estimated using the measurement information, e.g., AOA, RTT, RSTD, etc., obtained from LOS directed beams.

Proposed is a position measuring device configured to measure a position (distance) by combining a TWR positioning method and a PDOA positioning method. The proposed position measuring device: outputs positioning signals at set time intervals; receives response signals for the positioning signals; measures the distance between a plurality of diversity antennas and an object on the basis of the respective positioning signals and response signals transmitted and received by the diversity antennas; and measures the distance to the object on the basis of the measurement values of the distances between the plurality of diversity antennas and the object.

Proposed is a position measuring device configured to measure a position (distance) by combining a TWR positioning method and a PDOA positioning method. The proposed position measuring device: outputs positioning signals at set time intervals; receives response signals for the positioning signals; measures the distance between a plurality of diversity antennas and an object on the basis of the respective positioning signals and response signals transmitted and received by the diversity antennas; and measures the distance to the object on the basis of the measurement values of the distances between the plurality of diversity antennas and the object.

Iterative methods for direction of arrival estimation of a signal at a receiver with a plurality of spatially separated sensor elements are described. A quantized estimate of the angle of arrival is obtained from a compressive sensing solution of a set of equations. The estimate is refined in a subsequent iteration by a computed error based a quantized estimate of the direction of arrival in relation to quantization points offset from the quantization points for the first quantized estimate of the angle of arrival. The iterations converge on an estimated direction of arrival.

Iterative methods for direction of arrival estimation of a signal at a receiver with a plurality of spatially separated sensor elements are described. A quantized estimate of the angle of arrival is obtained from a compressive sensing solution of a set of equations. The estimate is refined in a subsequent iteration by a computed error based a quantized estimate of the direction of arrival in relation to quantization points offset from the quantization points for the first quantized estimate of the angle of arrival. The iterations converge on an estimated direction of arrival.

A method and system of creating microlocation zones by defining virtual boundaries using a system of one or more transmitters and receivers with one or more spatially-correlated antennas.