A method of beamforming calibration is disclosed for a multi-antenna transceiver configured to communicate with one or more other transceivers. The multi-antenna transceiver has a plurality of transceiver chains connectable to respective antenna elements of the multi-antenna transceiver. Each transceiver chain comprises a transmitter path and a receiver path. The method comprises (for each transceiver chain) feeding an analog signal from the transmitter path to the receiver path via connection circuitry between the transmitter path and the receiver path to provide a digital calibration signal, and determining a beamforming calibration factor for the transceiver chain based on the digital calibration signal. Corresponding apparatus, multi-antenna transceiver, wireless communication node, and computer program product are also disclosed.

A method of beamforming calibration is disclosed for a multi-antenna transceiver configured to communicate with one or more other transceivers. The multi-antenna transceiver has a plurality of transceiver chains connectable to respective antenna elements of the multi-antenna transceiver. Each transceiver chain comprises a transmitter path and a receiver path. The method comprises (for each transceiver chain) feeding an analog signal from the transmitter path to the receiver path via connection circuitry between the transmitter path and the receiver path to provide a digital calibration signal, and determining a beamforming calibration factor for the transceiver chain based on the digital calibration signal. Corresponding apparatus, multi-antenna transceiver, wireless communication node, and computer program product are also disclosed.

Systems and methods for calibrating VNA modules which dynamically assigns match utilization to improve overall calibration accuracy and reduce problems from a non-optimal set of calibration components and simplify user input requirements during calibration.

Systems and methods for calibrating VNA modules which dynamically assigns match utilization to improve overall calibration accuracy and reduce problems from a non-optimal set of calibration components and simplify user input requirements during calibration.

A control module for a lighting fixture may include an input circuit (e.g., a wireless communication circuit) that may be susceptible to noise generating by a noise-generating source (e.g., a lighting control device in the lighting fixture). The control circuit may execute a self-test procedure to determine if the magnitude of the noise is acceptable or unacceptable for normal operation of the control module. During the self-test procedure, the control circuit may measure a noise level at a connection of the input circuit and determine if the noise level causes the self-test procedure to fail. The control circuit may control the lighting load to multiple intensities, measure noise levels of the output signal at each intensity, and process the noise levels to determine if the test has passed or failed. The control circuit may illuminate a visual indicator to provide an indication that the self-test procedure has failed.

A control module for a lighting fixture may include an input circuit (e.g., a wireless communication circuit) that may be susceptible to noise generating by a noise-generating source (e.g., a lighting control device in the lighting fixture). The control circuit may execute a self-test procedure to determine if the magnitude of the noise is acceptable or unacceptable for normal operation of the control module. During the self-test procedure, the control circuit may measure a noise level at a connection of the input circuit and determine if the noise level causes the self-test procedure to fail. The control circuit may control the lighting load to multiple intensities, measure noise levels of the output signal at each intensity, and process the noise levels to determine if the test has passed or failed. The control circuit may illuminate a visual indicator to provide an indication that the self-test procedure has failed.

Systems and methods of the present disclosure relate to calibration of a resistivity tool. A calibration method comprises deploying a transmitter in a known formation with a known resistivity property with a physical tilted angle θ relative to a longitudinal axis of the tool; deploying receivers in the known formation, wherein a physical tilted angle of a first receiver is θ relative to the longitudinal axis of the tool, and wherein a physical tilted angle of a second receiver is −θ, relative to the longitudinal axis of the tool; transmitting signals with the transmitter and measuring the signals at the receivers; combining measurements at two receivers with respect to a transmitter signal in the known formation; producing synthetic responses of the tool in the known formation using forward modeling; and calculating an effective tilted angle θ′ from real measurements and the synthetic responses.

An electronic device according to various embodiments of the present invention may comprise a transmission module including a first transmission module and a second transmission module, and a processor. The processor may feedback-receive a transmission power of the first transmission module, calculate a difference value between a target transmission power and the transmission power of the first transmission module, determine a state of the first transmission module on the basis of the difference value, and turn off a transmission operation of the first transmission module and activate a transmission operation of the second transmission module in accordance with the determination that the state of the first transmission module is abnormal. Various other embodiments are possible.

The present disclosure relates to a pre-5.sup.th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4.sup.th-Generation (4G) communication system such as Long Term Evolution (LTE). An electronic device, in a wireless communication system, may include: a processor, an antenna array, a plurality of first radio frequency (RF) paths related to a first stream, the first RF paths each including a transmit (TX) path and a receive (RX) path, and a plurality of second RF paths related to a second stream, the second RF paths each including a TX path and an RX path, and the processor may be configured to: generate a calibration signal for the antenna array, obtain characteristic information of the antenna array based on a phase difference or a gain difference between one TX path having the first stream and one RX path having the second stream obtained for each of measurement RF paths among the plurality of the first RF paths, and calibrate the plurality of the first RF paths based on the characteristic information.

The present disclosure relates to a communication method and system for converging a 5.sup.th-Generation (5G) communication system for supporting higher data rates beyond a 4.sup.th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. According to an embodiment of the present invention, a method for controlling a base station supporting a multi-antenna system may comprise the steps of: generating a plurality of test signals for a plurality of antennas in a modem; controlling the plurality of generated test signals to be fed back to the modem through a plurality of feedback paths which are formed for the plurality of antennas, respectively, and do not affect each other; and identifying the plurality of test signals fed back to the modem, on the basis of the plurality of generated test signals.