Techniques for determining a location of a client device using recursive phase vector subspace estimation are described. One technique includes receiving a plurality of angle-of-arrival (AoA) measurements from a plurality of access points (APs). Each AoA measurement includes a plurality of entries for phase values measured from a signal received from a client device at the plurality of APs. At least one AoA measurement of the plurality of AoA measurements that includes at least one of: (i) one or more entries with missing phase values and (ii) one or more entries with erroneous phase values is identified, based on a recursive phase estimation. The plurality of AoA measurements are updated based on the identified at least one AoA measurement. The location of the client device is determined, based on the updated plurality of AoA measurements.

The invention discloses a method for estimating the direction-of-arrival of a coprime array based on virtual domain statistics reconstruction of single-bit quantized signal. The realization steps are as follows: arranging a coprime array and a single-bit analog-to-digital converter at a receiving end; calculating equivalent virtual signal corresponding to a single-bit receipt signal of the coprime array; constructing a virtual domain augmented covariance matrix of an initialized single-bit quantized signal; designing, based on statistical correlation analysis between statistics of the single-bit quantized signal and the original unquantized signal, an optimization problem based on virtual domain statistics reconstruction of quantized signal; and performing direction-of-arrival estimation by utilizing the virtual domain augmented covariance matrix corresponding to the optimized single-bit quantized signal.

The invention discloses a method for estimating the direction-of-arrival of a coprime array based on virtual domain statistics reconstruction of single-bit quantized signal. The realization steps are as follows: arranging a coprime array and a single-bit analog-to-digital converter at a receiving end; calculating equivalent virtual signal corresponding to a single-bit receipt signal of the coprime array; constructing a virtual domain augmented covariance matrix of an initialized single-bit quantized signal; designing, based on statistical correlation analysis between statistics of the single-bit quantized signal and the original unquantized signal, an optimization problem based on virtual domain statistics reconstruction of quantized signal; and performing direction-of-arrival estimation by utilizing the virtual domain augmented covariance matrix corresponding to the optimized single-bit quantized signal.

Determining alignment and clear line-of-sight (LOS) of a satellite antenna using sensor data from an LOS sensor of the satellite antenna. Described techniques include storing first sensor data captured by the LOS sensor at a first time, the first sensor data indicating a first LOS condition of the satellite antenna corresponding to the satellite antenna having a beam LOS with a satellite of the satellite communication system that is aligned and unobstructed. The techniques may include receiving second sensor data captured by the LOS sensor at a second time after the first time, the second sensor data indicating a second LOS condition of the satellite antenna. The techniques may include determining an LOS condition change for the satellite antenna between the first time and the second time based on a comparison of the second sensor data with the first sensor data.

Determining alignment and clear line-of-sight (LOS) of a satellite antenna using sensor data from an LOS sensor of the satellite antenna. Described techniques include storing first sensor data captured by the LOS sensor at a first time, the first sensor data indicating a first LOS condition of the satellite antenna corresponding to the satellite antenna having a beam LOS with a satellite of the satellite communication system that is aligned and unobstructed. The techniques may include receiving second sensor data captured by the LOS sensor at a second time after the first time, the second sensor data indicating a second LOS condition of the satellite antenna. The techniques may include determining an LOS condition change for the satellite antenna between the first time and the second time based on a comparison of the second sensor data with the first sensor data.

A device for detecting and/or tracking a projectile has a receiving antenna, for receiving at least an electromagnetic signal emitted by at least one radar, at least one amplifier configured to amplify the electromagnetic signal received by the receiving antenna, and at least one emitting antenna. The emitting antenna is configured to return, at an output of the device, an amplified electromagnetic signal for calculating data indicative of the trajectory of the projectile based at least on the amplified electromagnetic signal. A system for detecting a projectile has a transmitting device mounted on the projectile, a radar configured to sense an electromagnetic signal produced and sent by the transmitting device. The signals emitted from the projectile are limited to the electromagnetic signal sent by the transmitting device, and a processing unit, configured to calculate data indicative of the trajectory of the projectile, based on the sensing of the electromagnetic signal.

An emitter positioning method based on spectrum monitoring big data processing comprises the following steps: station monitoring data obtaining, multi-station spectrum monitoring data-based emitter direction finding, multi-station spectrum monitoring data-based emitter cross positioning, and emitter continuous positioning.

An emitter positioning method based on spectrum monitoring big data processing comprises the following steps: station monitoring data obtaining, multi-station spectrum monitoring data-based emitter direction finding, multi-station spectrum monitoring data-based emitter cross positioning, and emitter continuous positioning.

Mechanisms compressive sampling to detect direction of arrival (DoA) of a signal of interest (SoI), comprising: in each of a plurality of receiver paths, receiving the SoI and producing a received signal using an antenna; and using a modulator to: receive a modulator input signal (MIS) based on the received signal produced by the antenna in the path; modulate the MIS at multiple points in time (MPIT) based on different ones of a plurality of pseudo-random numbers; and produce a plurality of modulated output signals in response to the modulating of the MIS at the MPIT; summing across the receiver paths the one of the modulated output signals produced by each of the receiver paths for each of the MPIT, to produce a plurality of sum signals each corresponding to one of the MPIT; and performing a compressed sensing recovery algorithm to recover the DoA of the SoI.

Methods, systems, and devices for wireless communications are described. A receiving device may receive a signal over a first frequency from a transmitting device. The receiving device may determine a set of angular offsets associated with communicating signals over a set of frequencies based on the angle of arrival of the signal, where each frequency of the set of frequency may be offset from the first frequency by a different amount. The receiving device may indicate the set of angular offsets to the transmitting device. The transmitting device may adapt a reception configuration for receiving signals from the receiving device, transmitting signal to the receiving device, or both based on the indication of the set of angular offsets.