9 results about "Virtual antenna array" patented technology

An electronic device may include an integrated circuit (IC) including a switch and a plurality of paths that may include a first transmit (Tx) path, a second Tx path, a first receive (Rx) path, and a second Rx path; a first antenna electrically connected with the first Tx path from among the plurality of paths; a second antenna electrically connectable with the second Tx path or the second Rx path from among the plurality of paths via the switch; a third antenna electrically connected with the first Rx path from among the plurality of paths; and at least one processor operably coupled with the IC.

This invention relates to the field of communication technology, specifically to a method and apparatus for the joint design of a virtual antenna array and beamforming for unmanned aerial vehicles (UAVs). The method includes: constructing a near-field signal transmission model based on the positions of each UAV, the distance between the communication user and the sensing target; determining an integrated sensing beamforming model based on the virtual antenna array; determining the downlink signal transmission model for the communication user and the sensing signal echo model based on the near-field signal transmission model; determining the Fisher information matrix and Cramer-Rhodes bound of the sensing target; constructing an objective function with the goal of minimizing the Cramer-Rhodes bound; and solving the objective function using an inner loop algorithm and an outer loop algorithm to determine the positions of each UAV and the beamforming matrix. This invention combines the coordinated position adjustment of multiple UAVs with cooperative beamforming to improve the communication quality for the communication user and the sensing performance for the sensing target, thereby fully utilizing the flexible deployment characteristics of UAVs.

A method may use hybrid-TDMA / FDMA frames to synchronize participating nodes to an orchestrator node of a virtual antenna array as the virtual antenna array transmits to a target node. The virtual antenna array is formed by the orchestrator node and the participating nodes. The orchestrator node synchronizes the participating nodes periodically using the hybrid-TDMA / FDMA frames. The virtual antenna array directs joint communications toward and receives communication from the target node. The communication from the target node may be used to learn channel state information (CSI) between the virtual antenna array and the target node. The nodes may include software-defined radios which execute the hybrid-TDMA / FDMA frames. The hybrid-TDMA / FDMA frames may include concurrent transmissions of signal data and metadata. The hybrid-TDMA / FDMA frames may decouple the duty-cycle from the number of nodes.

A method for designing a sparse MIMO virtual antenna array is disclosed. The method includes determining a size of an equivalent uniform linear array (ULA) based on a target number of sparse elements of the sparse MIMO virtual antenna array, setting a first optimization target to a maximum signal level of one or more sidelobes of the ULA when a beam is pointed to a boresight, setting a second optimization target to a maximum signal level of the one or more sidelobes of the ULA when the beam is pointed to an edge of a field of view, determining a set of spacing distances between antenna array elements of the sparse MIMO virtual antenna array that simultaneously minimizes the first optimization target and the second optimization target or minimizes a sum of the first optimization target and the second optimization target, and constructing the sparse MIMO virtual antenna array based on the determined set of spacing distances.

A system and method is presented for determining a plurality of MIMO virtual antenna arrays. Each virtual antenna array of the plurality of MIMO virtual antenna arrays is associated with a subset of a plurality of transmit antennas and a subset of a plurality of receive antennas. Signals received by the plurality of receive antennas are used to determine signal spectrums for each MIMO virtual antenna array of the plurality of MIMO virtual antenna arrays. Each signal spectrum includes signal magnitude values and has associated angle values, wherein main lobe positions of the signal spectrums of the plurality of MIMO virtual antenna arrays are at a same angle across all signal spectrums and sidelobe positions of the signal spectrums are not at the same angle across all signal spectrums. A first combined MIMO virtual antenna array signal spectrum is determined by combining minimum values of the signal spectrums at each angle value. The first combined MIMO virtual antenna array signal spectrum is used to detect an object.

Method for determining at least one target information of a target object of a sensor system (2) which has several transmitting antennas (3) and several receiving antennas (4), wherein: - in a transmission process, several frequency-shifted electrical outgoing signals (40 to 43) are simultaneously transmitted from the several transmitting antennas (3) into an environment (18); - electrical receiving signals (54 to 57), which are based on the transmitted electrical outgoing signals (40 to 43), are received by the several receiving antennas; - on the basis of the received electrical receiving signals (54 to 57), the antenna positions of the several transmitting antennas (3) and the antenna positions of the several receiving antennas (4), a virtual antenna array (39) which has several virtual receiving antennas (61) is generated; - an environment reconstruction of the environment (18) is performed based on the virtual antenna array (39) is carried outand- which at least one target information is determined on the basis of the environmental reconstruction, wherein- a respective received electrical receive signal (54 to 57), which is assigned to a respective virtual receiving antenna (61) of the virtual antenna array (39), is mixed with a carrier signal (59) on which the several frequency-shifted electrical transmit signals (40 to 43) are based, and- for each virtual receiving antenna (61) a distance spectrum (62) is determined on the basis of the received signal (54 to 57) belonging to the respective receiving antenna (61) and mixed with the carrier signal, characterized in thatthat a respective distance spectrum (62) of a respective virtual receiving antenna (61) is decomposed into partial spectra (64 to 67) depending on a corresponding electrical outgoing signal (40 to 43) to the received signal (54 to 57) and by the transmitting antenna (3) emitting this electrical outgoing signal (40 to 43).

The application is suitable for the field of satellite communication, and provides a cooperative communication method and system of a vehicle-mounted satellite communication terminal, the method comprising: collecting spatial motion vectors, radio frequency channel nonlinear characteristics and service flow priority characteristics of each vehicle terminal in a cluster in real time; establishing a global unified time-frequency phase reference benchmark; dynamically calculating complex weighting vectors of signals transmitted by each node according to relative positions of satellites, and constructing an enhanced coherent synthesis beam in a space domain; performing space-time-frequency multi-dimensional mapping coding on service data flows, and performing distributed parallel transmission through the enhanced coherent synthesis beam; using a motion trend prediction technology to pre-compensate phase drift and channel blockage at a future time, and maintaining the persistence of a cooperative link; constructing a virtual antenna array through multi-vehicle cooperation, breaking through the limitation of a single-vehicle physical aperture, and effectively overcoming the signal blockage and fading problem in a complex environment by using a physical layer synchronization and feedforward compensation technology.

This invention proposes a method for acquiring physical channel fingerprints and constructing physical channel maps for large-scale MIMO-OFDM systems based on virtual antenna arrays. This method targets each grid within a target communication area, controlling a measurement terminal to move along a preset trajectory within the grid to synthesize a virtual antenna array to collect channel samples in the spatial-frequency-time domain. Based on the mapping relationship between physical channel fingerprints and beam-domain statistical channel state information, the channel samples measured by the virtual antenna array are processed to construct and solve an optimization problem using beam-domain statistical channel state information as an auxiliary variable and physical channel fingerprints as the target variable, thus acquiring the physical channel fingerprints. The position coordinate indexes of each grid are associated and stored with their corresponding physical channel fingerprints to construct a physical channel map with position indexing functionality. This invention, through flexible measurement terminal deployment, achieves reliable physical channel fingerprint acquisition and can be used for applications such as auxiliary statistical channel information acquisition, instantaneous channel estimation, and precoding.

Embodiments of the present disclosure provide a method, device, equipment, medium and program product for measuring the position of an interference source. The method comprises: obtaining measurement data collected by at least one unmanned aerial vehicle; the measurement data at least comprising: unmanned aerial vehicle position information and an interference signal sequence; and determining the position information of the interference source based on the measurement data. The method uses multiple unmanned aerial vehicles to cooperatively measure, achieves the effect of a virtual antenna array, and realizes high-precision positioning measurement of the interference source. Based on the flexibility of the deployment and transformation of the unmanned aerial vehicles, the number of unmanned aerial vehicles and the number of tests can be freely adjusted, thereby improving the flexibility and measurement accuracy of the positioning of the interference source.