A transmit antenna system configured to steer an electromagnetic beam includes an antenna and an electronic steering module. The antenna includes a first electric antenna element oriented parallel to a first plane, a second electric antenna element oriented orthogonally to the first electric antenna element and parallel to the first plane, and a first magnetic antenna element oriented orthogonally to the first electric antenna element and the second electric antenna element. The electronic steering module is in electrical communication with each of the first electric antenna element, the second electric antenna element, and the first magnetic antenna element. The electronic steering module includes at least one amplifier configured to control the amplitude of a current to each of the first electric antenna element, the second electric antenna element, and the first magnetic antenna element.

An identification method comprising: when an object is in a whole process from entering to separating from a region inducted by the low-frequency electromagnetic field, receiving the low-frequency signal of the low-frequency electromagnetic field in real time; extracting the attribute code and signal intensity corresponding to the low-frequency signal received and conducting associate storage; and after the object separates from the region inducted by the low-frequency electromagnetic field, determining the route direction along which the object passes through the vector beacons according to the attribute code and signal intensity stored.

Disclosed is a method for direction-of-arrival estimation based on sparse reconstruction in the presence of gain-phase error, which comprises the following steps: firstly, estimating a noise power and an gain error from an array received signal by adopting a characteristic decomposition method; then, based on a compensated covariance matrix, transforming a direction-of-arrival estimation problem into a non-convex optimization problem in a sparse frame by a method of sparse reconstruction; finally, estimating a grid angle and a deviation angle by using an alternate optimization method. This estimation method can effectively eliminate the influence of a phase error in direction-of-arrival estimation, and has better adaptability, which improves the resolution and estimation accuracy of the algorithm.

The present invention generally relates to an electromagnetic field vector sensing receive antenna array system for installation and deployment on a structure. A multipolarized array of collocated antenna elements is used to provide calibrated amplitude and phase radiation patterns with monopole, dipole, and loop modes generated from crossed loops connected to a be informer. The invention has applications for installation and deployment on a tower, balloon, or satellite for radio frequency sensing and location of low-frequency galactic emissions. The novel receive antenna array system comprises a multipolarized vector sensor antenna array. The disclosed direction-finding vector sensor can be installed and deployed on a structure and can detect and locate radio frequency emissions from galactic sources. The key system components of the receive antenna array system consist of deployable antennas, receivers, signal processing computer, and communications link.

A radar receiver (Rx) receives a reflected wave signal corresponding to a radar transmitting signal having been reflected on a target by using a plurality of antenna system processors (D1 to D4), and estimates an arrival direction of the reflected wave signal. A peak frequency selector (21) selects a peak value of a correlation vector. An adjacent time-frequency component extractor (22) extracts correlation vectors in number of (NE×NT−1) corresponding to NE Doppler frequencies and NT times respectively adjacent to a Doppler frequency and a time giving a peak value. A correlation matrix generating adder (23) generates a correlation matrix corresponding to correlation of the reflected wave signal received by a plurality of receiver antennas on the basis of the (NE×NT) extracted correlation vectors.

An estimation device includes: M transmission antenna elements each transmitting a first transmission signal; N transmitter-receivers each including a reception antenna element and receiving, over a predetermined period, a first reception signal including a reflection signal that is the first transmission signal reflected by a first living body, using the reception antenna element; a memory storing training signals that are second reception signals obtained by causing the N transmitter-receivers to preliminarily receive second reception signals including reflection signals that are second transmission signals transmitted from the M transmission antenna elements to a second living body and reflected therefrom; a first vector calculator calculating a first vector for each training signal and each first reception signal by respective predetermined methods; and a circuit identifying the first living body or estimating an orientation of the first living body by a predetermined method, using correlation coefficients calculated from the first vectors.

Systems and methods are provided to simultaneously determine both angle of arrival (AoA) and angle of departure (AoD) of a signal transmitted between two or more radio frequency (RF)-enabled wireless devices (e.g., such as BLE modules). The disclosed systems and methods may be so implemented in one embodiment to determine AoD even in the case where the transmitting wireless device is at the same time operating in a departure (or AoD) transmitting mode by transmitting a RF signal from multiple antenna elements of at least one switched antenna array using a given switching pattern or sequence implemented by an array switch.

Provided is a control device, including a wireless communication unit that has at least two antenna elements and performs wireless communication with another communication device, and a control unit that controls a controlled device on the basis of a direction of the another communication device, the direction being estimated on the basis of the wireless communication, in which the control unit causes the controlled device to perform a given operation when the direction of the another communication device is within a prescribed range.

Embodiments of systems and methods for estimating direction of arrival are disclosed. A device includes a signal processing unit that includes processing circuitry and memory coupled to the processing circuitry, where the processing circuitry includes multiple vector processing units, each vector processing unit configured to receive an antenna input vector, receive an angular spectrum vector, retrieve a first and second weighting vectors from the memory, generate a processed antenna input vector by performing a circular convolution of the antenna input vector with the first weighting vector, generate a processed angular spectrum vector by performing a circular convolution of the angular spectrum vector with the second weighting vector, and generate a refined angular spectrum vector, which indicates angular position of one or more radar targets, by applying a non-linear activation function to a sum of the processed antenna input vector and the processed angular spectrum vector.

Disclosed is a high-resolution accurate two-dimensional direction-of-arrival estimation method based on coarray tensor spatial spectrum searching with coprime planar array, which solves the problem of multi-dimensional signal loss and limited spatial spectrum resolution and accuracy in existing methods. The implementation steps are: constructing a coprime planar array; tensor signal modeling for the coprime planar array; deriving coarray statistics based on coprime planar array cross-correlation tensor; constructing the equivalent signals of a virtual uniform array; deriving a spatially smoothed fourth-order auto-correlation coarray tensor; realizing signal and noise subspace classification through coarray tensor feature extraction; performing high-resolution accurate two-dimensional direction-of-arrival estimation based on coarray tensor spatial spectrum searching. In the present method, multi-dimensional feature extraction based on coarray tensor statistics for coprime planar array is used to implement high-resolution, accurate two-dimensional direction-of-arrival estimation based on tensor spatial spectrum searching, and the method can be used for passive detection and target positioning.