A radio receiver is made much more immune to jamming signals. A vector EM sensor, in a 2-dimensional (3-axis sensor) or 3-dimensional (6-axis sensor) sensor configuration, is combined with a unique digital rotation to a preferred direction to create a new reference channel and, using an advanced frequency domain noise mitigation algorithm or other noise cancellation algorithm, can effectively reject jamming and other interference signals and improve the signal-to-noise ratio (20-40 dB) and the receiving performance of the receiver. The method can cancel both near-field and far-field interference and improve accuracy for various applications concerned with establishing the direction, or bearing, to a source. A communication receiver with the vector sensor and the cancellation algorithm has unique anti-jamming capabilities even for multiple jamming sources.

Devices and methods of estimating the AoD of a STA are generally described. The STA receives and stores an association between tone and transmission angle for each tone transmitted by an AP in different angles. The association indicates that, for each angle, a tone transmitted in the angle is unique. The STA detects a symbol transmitted on each tone, determines the strength and timing of the tone and estimates the AoD based on the association and either or both the strength and timing. Each tone may have multiple symbols and/or each angle multiple tones whose characteristics are averaged to determine the appropriate characteristic of the particular tone or angle. The position of the STA is calculated from the AoD of one or more APs.

Devices and methods of estimating the AoD of a STA are generally described. The STA receives and stores an association between tone and transmission angle for each tone transmitted by an AP in different angles. The association indicates that, for each angle, a tone transmitted in the angle is unique. The STA detects a symbol transmitted on each tone, determines the strength and timing of the tone and estimates the AoD based on the association and either or both the strength and timing. Each tone may have multiple symbols and/or each angle multiple tones whose characteristics are averaged to determine the appropriate characteristic of the particular tone or angle. The position of the STA is calculated from the AoD of one or more APs.

A method of sparse array oriented approach for DOA estimation of grating lobe target filtering includes sub-array division processing of received echoes in multiple channels; digital beamforming is performed on each sub-array obtained after division to realize DOA estimation; the echo power of the beam pointing at each angle is calculated and the peak point is detected; peak threshold discrimination processing is performed based on the determined peak threshold; if the current sub-array satisfies the identified peak threshold, the corresponding power spectrum extreme is calculated to obtain the final DOA estimation. The present invention also relates to a corresponding device, processor and computer-readable storage medium thereof. With the use of this sparse array oriented method, device, processor and computer-readable storage medium for implementing filtered DOA estimation of a gate lobe target, the interference of the gate target is effectively avoided by dividing the subarray and binarizing the angular power spectrum.

A probe laser beam causes molecules to transition from a ground state to an excited state. A control laser beam causes molecules in the excited state to transition to a laser-induced Rydberg state. Microwave lenses convert a microwave wavefront into respective microwave beams. The microwave beams are counter-propagated through molecules so as to create a microwave interference pattern of alternating maxima and minima. The microwave interference pattern is imposed on the probe beam as a probe transmission pattern. The propagation direction of the microwave wavefront can be determined from the translational position of the probe transmission pattern; the intensity of the microwave wavefront can be determined by the intensity difference between the minima and maxima of the probe transmission pattern.

Provided is a technology for increasing accuracy of position estimation by estimating a position of a signal source based on an error due to altitudes of a sensor and a signal source and an error due to a pitch of an aircraft as well as an error due to curvature of the earth. At this time, a position estimation method may include receiving measurement data from a plurality of sensors, estimating first position data of the signal source based on the measurement data, identifying an altitude error of the first position data, and estimating second position data that is data obtained by correcting the first position data based on the altitude error.

A method of direction finding (DF) positioning based on a simplified antenna platform format in a wireless communication network is proposed. A receiver receives antenna platform format information of a transmitter having multiple antenna elements. The antenna platform format information comprises an antenna platform format indicator, antenna platform position and orientation information, a number of antenna elements, and switching delay, phase center, and polarization information for each antenna element. The receiver receives a plurality of direction finding sounding signals transmitted from the transmitter via the multiple antenna elements. The receiver performs a DF algorithm based on the plurality of DF sounding signals and the antenna platform format information and thereby estimating a DF solution. Finally, the receiver determines its own location information based on the estimated DF solution.

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 method for location approximation through time-domain subspace signals and spatial domain subspace signals is provided with an orthogonal frequency-division multiplexing (OFDM)-based wireless device that includes a wireless terminal, a multiple-input and multiple-output (MIMO) antenna, a spatial subspace processor, and a temporal subspace processor. An uplink signal is transmitted from the wireless terminal towards a plurality of targets positioned within an operational range of the MIMO antenna. A plurality of reflected signals generated from the plurality of targets and is received through the MIMO antenna. The plurality of reflected signals is processed at the spatial subspace processor to determine a direction of arrival (DOA) for each of plurality of reflected signals. Each of the plurality of reflected signals is processed by the temporal subspace processor to determine a time delay. The time delay and the DOA are utilized to derive a location approximation for the plurality of targets.