An apparatus is disclosed for a hybrid wireless transceiver architecture that supports multiple antenna arrays. In an example aspect, the apparatus includes a first antenna array, a second antenna array, and a wireless transceiver. The wireless transceiver includes first dedicated circuitry dedicated to the first antenna array and second dedicated circuitry dedicated to the second antenna array. The wireless transceiver also includes shared circuitry that is shared with both the first antenna array and the second antenna array.

In at least one embodiment, a system for enabling wireless communication for a vehicle is provided. At least one controller to generate first information for the vehicle for transmission to at least one surrounding vehicle or an infrastructure external to the vehicle and to receive second information. The remote active antenna assembly to receive the first information over a cable and wirelessly receive over a wireless communication protocol, a control indicative of the remote active antenna assembly being in one of a transmit mode or a receive mode. The remote active antenna assembly to wirelessly transmit, via a remote active element, the first information in response to the control signal indicating that the remote active assembly is in the transmit mode and to wirelessly receive, via the remote active element, the second information in response to the control signal indicating that the remote active assembly is in the receive mode.

Example signal processing methods and apparatus are described. The signal processing apparatus includes a first power amplifier, a second power amplifier, a first filter, a second filter, and a combiner. The first filter filters a second signal obtained by the first power amplifier to obtain a first sub-signal belonging to a first frequency band and a second sub-signal belonging to a second frequency band. The second filter filters a fourth signal obtained by the second power amplifier to obtain n sub-signals including at least a third sub-signal belonging to a third frequency band. The combiner combines the first sub-signal and i sub-signals in the n sub-signals based on a preset condition to obtain a first combined signal. The communication module sends the first combined signal by using a first port, and sends the second sub-signal by using a second port.

The present disclosure relates to systems and methods for identifying a target object. The method may include receiving, from a first antenna, a first signal associated with at least one candidate object and receiving, from a second antenna, a second signal associated with the at least one candidate object. The first antenna may be associated with a first acquisition region. The second antenna may be associated with a second acquisition region that is different from the first acquisition region. The method may further include identifying a target object located in a target region from the at least one candidate object by comparing a first parameter determined from the first signal with a second parameter determined from the second signal.

A network node in a wireless communication network generates configuration information that configures an extent to which a wireless communication device autonomously adapts a number of different receiver components that the wireless communication device uses under different conditions at the wireless communication device. In some examples, the different conditions may be associated with correlation of propagation channels received at the wireless communication device. The network node transmits the configuration information to the device. Correspondingly, the device autonomously adapts the number of different receiver components that the wireless communication device uses in accordance with the configuration information.

A communication circuit for communication at a carrier frequency via multiple antenna elements of a radio apparatus is disclosed. The communication circuit comprises a plurality of radio units, wherein each radio unit of said plurality of radio units is arranged to be connected to a separate antenna element. An LO signal generation unit is arranged to generate a plurality of LO signals at distinct frequencies, and supply a unique LO signal of the plurality of LO signals to each radio unit of the plurality of radio units. A corresponding radio apparatus and method are also disclosed.

A MIMO communication system is provided. The system may include a first antenna comprising a first cavity, a first plurality of RF ports for generating a feed wave within the first cavity, and a first plurality of sub-wavelength artificially structured material elements as arranged on a surface of the first cavity as RF radiators. The first antenna is configured to generate a plurality of radiation patterns respectively corresponding to the first plurality of ports. The system may also include a second antenna comprising a second cavity and a second plurality of sub-wavelength artificially structured material elements arranged on a surface of the second cavity.

An antenna apparatus can include: a first antenna configured to receive a first plurality of signals including a signal in one frequency band as a signal in a fundamental frequency band and a signal in another frequency band as a signal in a harmonic frequency band; a second antenna configured to receive a second plurality of signals including a signal in the other frequency band as a signal in the fundamental frequency band and a signal in the one frequency band as a signal in the harmonic frequency band; and a controller configured to combine a signal from the first plurality of signals in a frequency band that is selected by a user with a signal from the second plurality of signals in the frequency band that is selected by the user.

Aspects of the present invention provide systems and methods for distributed signal processing of indoor localization signals wherein statistical algorithms and machine learning are used in place of a fingerprint map. The disclosure relates to calculation of angle and distance based on measurements of an indoor localization signal, followed by energy-efficient distribution of signal processing. Local signal processing is performed using any of multiple eigen structure algorithms or a linear probabilistic inference, before cloud-based signal processing is performed using a nonlinear probabilistic inference and machine learning that's been trained with historical data transmitted by the base stations and time-of-day location patterns. Without having to generate and constantly update an energy-exorbitant fingerprint map, the disclosed system reduces localization error to merely 50 cm with 95% probability without compromising energy-efficiency to rival the accuracy of indoor localization systems that utilize fingerprinting.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine a receive time difference (RTD) between a first base station and a second base station based at least in part on the UE using a common beam to receive transmissions from the first base station and the second base station. The UE may transmit information indicating the RTD between the first base station and the second base station, wherein the transmissions from the first base station and the second base station may be scheduled based at least in part on the RTD between the first base station and the second base station. Numerous other aspects are provided.