Patent classifications
H04B17/29
Identification of low performing radio branch
A mechanism for identifying a low performing radio branch at a radio transceiver device. A method is performed by the radio transceiver device that comprises transmitting a reference signal for at least some of the N radio branches in a respective test period. The reference signal in each test period is transmitted according to a test configuration that specifies that during each test period the reference signal is mapped to only one of the N radio branches such that in test period k, where k=1, . . . , N, the reference signal is only transmitted from radio branch k. The method comprises receiving at least one report from another radio transceiver device relating to measurements made by this so-called another radio transceiver device on the reference signal transmitted for these at least some of the N radio branches to identify which of the N radio branches is the low performing one.
Testing method and testing system for evaluating radio device
A testing method for determining radiation performance of a device under test (DUT) is disclosed. The testing method comprises the following steps. The DUT is arranged at a first orientation. A first effective isotropic radiated power (EIRP) and a first effective isotropic sensitivity (EIS) of the DUT are measured at the first orientation. The DUT is arranged at a second orientation different from the first orientation, and a second EIRP of the DUT is measured at the second orientation. A second EIS of the DUT is measured at the second orientation according to a correlation between the first EIRP, the first EIS and the second EIRP.
Testing method and testing system for evaluating radio device
A testing method for determining radiation performance of a device under test (DUT) is disclosed. The testing method comprises the following steps. The DUT is arranged at a first orientation. A first effective isotropic radiated power (EIRP) and a first effective isotropic sensitivity (EIS) of the DUT are measured at the first orientation. The DUT is arranged at a second orientation different from the first orientation, and a second EIRP of the DUT is measured at the second orientation. A second EIS of the DUT is measured at the second orientation according to a correlation between the first EIRP, the first EIS and the second EIRP.
Method for Increasing a Quality of Sampled Receive Signals and Measuring Device for Time Domain Reflectometry
A method for increasing a quality of sampled receive signals includes: generating a plurality of sampling signal repetition rates with a running variable; determining a receive signal repetition rate associated with each of the sampling signal repetition rates; generating a receive signal sequence consisting of the receive signals; generating a sampling signal sequence consisting of the sampling signals; generating a mixed signal sequence; low-pass filtering the mixed signal sequence; determining a quality indicator of the low-pass filtered mixed signal sequence; selecting a quality indicator which exceeds a predetermined quality threshold from the determined quality indicators; and using the sampling signal repetition rate and the receive signal repetition rate associated therewith. A related measuring device is also disclosed.
FREQUENCY RESPONSE CALIBRATION FOR RADIO FREQUENCY INTEGRATED CIRCUIT WITH MULTIPLE RECEIVING CHANNELS
A method of calibrating an analog front end (AFE) filter of a radio frequency integrated circuit (RFIC) includes: making a first measurement of the RFIC at a first measuring frequency while the AFE filter is bypassed; generating a first amplitude estimate and a first phase estimate at the first measuring frequency using the first measurement; making a second measurement of the RFIC at the first measuring frequency while the AFE filter is turned on; generating a second amplitude estimate and a second phase estimate at the first measuring frequency using the second measurement; and calculating a frequency response of the AFE filter at the first measuring frequency, which includes calculating an amplitude response of the AFE filter based on the second amplitude estimate and the first amplitude estimate; and calculating a phase response of the filter based on the first phase estimate and the second phase estimate.
FREQUENCY RESPONSE CALIBRATION FOR RADIO FREQUENCY INTEGRATED CIRCUIT WITH MULTIPLE RECEIVING CHANNELS
A method of calibrating an analog front end (AFE) filter of a radio frequency integrated circuit (RFIC) includes: making a first measurement of the RFIC at a first measuring frequency while the AFE filter is bypassed; generating a first amplitude estimate and a first phase estimate at the first measuring frequency using the first measurement; making a second measurement of the RFIC at the first measuring frequency while the AFE filter is turned on; generating a second amplitude estimate and a second phase estimate at the first measuring frequency using the second measurement; and calculating a frequency response of the AFE filter at the first measuring frequency, which includes calculating an amplitude response of the AFE filter based on the second amplitude estimate and the first amplitude estimate; and calculating a phase response of the filter based on the first phase estimate and the second phase estimate.
Signal estimation apparatus, signal estimation method and program recording medium
An apparatus performs a discrete Fourier transform process on M×N received signal components included in a received signal, by a unit of N received signal components; and estimates an estimated signal containing M×N estimated signal components, which are estimated values of M×N transmission signal components, on the basis of the received signal on which the discrete Fourier transform process is performed. When the estimated signal xe is newly estimated, the apparatus performs an exclusion operation of excluding an estimated value xe.sup.(k) of the M transmission signal components that constitute a k-th transmission signal group from the estimated signal xe newly estimated, and updates the estimated value xe.sup.(k) based on an intermediate signal xt.sup.(k) obtained by the exclusion operation and the received signal, thereby re-estimating the estimated signal xe.
Signal estimation apparatus, signal estimation method and program recording medium
An apparatus performs a discrete Fourier transform process on M×N received signal components included in a received signal, by a unit of N received signal components; and estimates an estimated signal containing M×N estimated signal components, which are estimated values of M×N transmission signal components, on the basis of the received signal on which the discrete Fourier transform process is performed. When the estimated signal xe is newly estimated, the apparatus performs an exclusion operation of excluding an estimated value xe.sup.(k) of the M transmission signal components that constitute a k-th transmission signal group from the estimated signal xe newly estimated, and updates the estimated value xe.sup.(k) based on an intermediate signal xt.sup.(k) obtained by the exclusion operation and the received signal, thereby re-estimating the estimated signal xe.
SYSTEMS FOR SELF-ORGANIZING DATA COLLECTION AND STORAGE IN A REFINING ENVIRONMENT
Systems for self-organizing data collection and storage in a refining environment are disclosed. An example system may include a swarm of mobile data collectors structured to interpret a plurality of sensor inputs from sensors in the refining environment, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of a plurality of refining system components disposed in the refining environment, and wherein the plurality of refining system components is structured to contribute, in part, to refining of a product. The self-organizing system organizes a swarm of mobile data collectors to collect data from the system components, and at least one of a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs.
Methods and systems for sensor fusion in a production line environment
Methods and systems for sensor fusion in a production line environment are disclosed. An example system for data collection in an industrial production environment may include an industrial production system comprising a plurality of components, and a plurality of sensors each operatively coupled to at least one of the components; a sensor communication circuit to interpret a plurality of sensor data values in response to a sensed parameter group; and a data analysis circuit to detect an operating condition of the industrial production system based at least in part on a portion of the sensor data values; and a response circuit to modify a production related operating parameter of the industrial production system in response to the detected operating condition.