157results about "Noise figure or signal-to-noise ratio measurement" patented technology

The invention discloses a ground resistance remote online monitoring method and system based on a mobile terminal, and relates to the technical field of ground resistance monitoring, and the method comprises the steps: obtaining a natural electromagnetic noise signal collected by the mobile terminal through a built-in sensor, and calculating a preliminary estimation value of ground resistance according to a preset model; according to the preliminary estimation value and the environmental parameters, using a machine learning algorithm to predict the optimal sampling frequency and time window under the current monitoring condition, and forming a dynamic adjustment mechanism; based on a dynamic adjustment mechanism, multiple mobile terminals are used for cooperative measurement, position information is synchronized and shared through a wireless network, and a virtual quadrupole measurement topological structure is constructed; based on the virtual quadrupole measurement topological structure, one part of the mobile terminals transmit test signals, the other part of the mobile terminals receive response signals, and the optimal sampling frequency and time window are combined to invert and generate a space resistance distribution diagram of the grounding grid; historical monitoring data, a space resistance distribution diagram and real-time environment parameters are combined.

The utility model relates to a multi-directional adjusting clamp for measurement in a magnetic shielding barrel. The utility model is suitable for the technical field of magnetic shielding. The technical problem to be solved by the utility model is to provide the multi-directional adjusting clamp for measurement in the magnetic shielding barrel. According to the technical scheme, the multi-direction adjusting clamp for measurement in the magnetic shielding barrel comprises a supporting assembly, and the top of the supporting assembly is provided with a base support capable of sliding in the X-axis direction; the height adjusting assembly is installed on the base support, a movable platform is arranged on the height adjusting assembly, and the height adjusting assembly can adjust the height of the movable platform in the Z-axis direction; the stretching assembly is installed on the side wall of the moving platform in a sliding mode, and the stretching length of the stretching assembly in the Y-axis direction can be adjusted through the stretching assembly; the sensor placing table is connected to the stretching assembly in a sliding mode, and the sensor placing table can move in the Y-axis direction; and the moving assembly is arranged at the bottom of the supporting assembly and the end of the stretching assembly, and the moving assembly can convey the whole clamp into the magnetic shielding barrel.

A discharge detection unit 1 that can detect noise superimposed on a voltage or current of an electric circuit to which the load is connected by being electrically connected to an electric circuit to which a load is connected, the discharge detection unit includes a filter unit 11 that can output a waveform of passed noise in a high frequency band without passing noise at a commercial frequency band and in a low frequency band by cutting noise of a predetermined frequency or lower superimposed on the voltage or current of the electric circuit, a counting unit 12 that can calculate the number of waveform detections in a predetermined time from a waveform passed through the filter unit, and an arithmetic processing unit 13 that can determine presence or absence of noise caused by discharge in the electric circuit using the number of times detected calculated by the counting unit.

A digital signal processing method is for enhancing fidelity of equivalent-time waveform measurements. The method includes receiving a digitized equivalent-time waveform of a repeating signal under test (SUT), applying a low-pass filter to the digitized equivalent-time waveform to obtain a smoothed waveform, generating a residual waveform by subtracting the smoothed waveform from the digitized equivalent-time waveform, estimating contributions of multiple noise sources in the residual waveform using a regression model, computing target noise and jitter values by removing known intrinsic contributions, and reconstructing a corrected waveform by combining the smoothed waveform with a scaled version of the residual waveform, wherein the scaling is based on the target noise source contributions.

The invention discloses a motor fault diagnosis method and a motor controller. The method comprises the following steps: acquiring a near-field electromagnetic noise audio signal and a vibration acceleration signal of a motor shell when a motor runs; performing short-time Fourier transform on the near-field electromagnetic noise audio signal, and extracting an original electromagnetic voiceprint feature vector representing an internal electromagnetic state of the motor; the vibration acceleration signal is used as a modulation source, amplitude modulation processing is carried out on the original electromagnetic voiceprint feature vector, and a modulated electromagnetic voiceprint feature vector is generated; performing time domain coherence calculation on the original electromagnetic voiceprint feature vector and the modulated electromagnetic voiceprint feature vector to generate a two-dimensional electromagnetic-mechanical voiceprint interference map; and inputting the electromagnetic-mechanical voiceprint interference atlas into a convolutional neural network CNN, and outputting a final motor fault diagnosis result. According to the embodiment of the invention, the method can improve the discrimination of fault features, and achieves the high-precision diagnosis of motor faults under a complex working condition.

The present disclosure relates to the technical field of electronic equipment, in particular to a SAR detection module and method and electronic equipment, the SAR detection module comprises: an induction branch, a detection branch, a SAR sensor and a compensation branch, the induction branch is used for inducting a capacitance signal; a first end of the detection branch is connected with the induction branch, the detection branch inducts environmental noise to generate a first noise signal; the SAR sensor is connected with a second end of the detection branch, the capacitance signal and the first noise signal are transmitted to the SAR detection unit through the detection branch; a first end of the compensation branch is connected with a reference power supply end, a second end of the compensation branch is connected with the SAR sensor, the compensation branch is used for inducting environmental noise to generate a second noise signal and transmitting the second noise signal to the SAR sensor, the second noise signal is used for simulating the first noise signal, so as to compensate the signal transmitted to the SAR sensor by the detection branch by using the second noise signal. The SAR detection precision of the electronic equipment can be improved.

A signal processing circuit for a measurement instrument is described. The signal processing circuit comprises a measurement input, a first measurement channel, a second measurement channel, and a noise canceling circuit. The first measurement channel comprises a first wideband analog-to-digital converter (ADC) and a first transformation circuit. An output signal of the first measurement channel is a first frequency domain signal. An output signal of the second measurement channel is a second frequency domain signal. The first frequency domain signal and the second frequency domain signal are a complex-valued signal, respectively. The noise canceling circuit is configured to receive the first frequency domain signal and the second frequency domain signal and to determine a combined average of the first frequency domain signal and of the second frequency domain signal over a predetermined number of frequency bins, thereby obtaining a complex-valued average signal. Further, a measurement system is described.

In a general aspect, a quantum spectrum sensing-assisted navigation system is presented. In some implementations, a quantum spectrum sensing (QSS)-assisted navigation system includes a vapor cell sensor and a control system communicably connected to the vapor cell sensor. A method of operating the QSS-assisted navigation system on a mobile platform includes obtaining geolocation information associated with the mobile platform by operating a location detection system of the control system; obtaining output optical signals from the vapor cell sensor, the output optical signals being generated based on an interaction between the vapor cell sensor and electromagnetic signals present in an environment of the mobile platform; processing the output optical signals to determine characteristics of the RF signals; identifying the presence of navigation interference signals in the environment; and based on the identified navigation interference signals and the geolocation information, determining a navigation boundary for the mobile platform.

The invention discloses a method and equipment for improving matching of a measured piece in an attenuation measurement system, belongs to the field of radio metering, and comprises the method for improving matching of the measured piece in the attenuation measurement system, and the core of the method is that a precise matching absorption load is added in a front-end transmission system of the measured piece; energy transmission is realized on a waveguide wide side of the precise matching absorption load through a coupling hole; a transmission waveguide is additionally arranged above the coupling hole, and energy is transmitted to a measured piece in the forward direction; and a precise matching absorption load is added in the reverse direction to absorb energy in the reverse direction, so that the measured piece matching improvement equipment in the attenuation measurement system is formed, and finally the measured piece matching of the attenuation measurement system is improved. According to the method and the equipment, the impedance matching of the measured piece is improved by using the precise matching load, the voltage standing-wave ratio of the load level is realized, and the attenuation measurement accuracy is improved. The tested piece matching improvement equipment developed by using the method is directly connected to two ends of the tested piece in an attenuation measurement system, so that the impedance matching of the tested piece is improved.

An arrangement for characterizing a radio frequency (RF) device, DUT, is provided using a calibrated noise source, CNS (20), a vector network analyzer (10, VNA), a spectrum analyzer (10, SA), a switching assembly (300, 50) and a processing unit (60) configured to control the switching assembly (300, 50) and to estimate the characteristics of the RF device based on measurements performed by the VNA. In some embodiments the arrangement estimates S-parameters of the noise path from a computation using S-parameters of a signal path comprising in addition to the noise-path a further component and the inverted S-parameters of that component.

This invention discloses a method and system for testing the noise figure of frequency converter devices. The method includes: constructing a parameter configuration model for the noise figure testing system of frequency converter devices; wherein the objects of parameter configuration include the device under test (DUT) and the noise figure testing instrument; configuring the parameters of different parameter configuration objects according to the type of DUT to form different noise figure testing modes for different types of DUTs; and completing the noise figure testing of different types of DUTs based on different noise figure testing modes. Simultaneously, before performing the noise figure testing of the DUT, a calibration method for the frequency converter device noise figure testing system is also included. This invention supports noise figure testing of single frequency converter devices and cascaded frequency converter links with various frequency conversion mechanisms, solving the problems of complex measurement modes, difficult parameter configuration, and low testing efficiency in existing frequency converter device noise figure testing, simplifying the calibration method, and saving testing time for various types of frequency converter devices.

An apparatus includes a transmitter; a DC-DC converter configured to generate, based on a switching schedule, an output voltage for the transmitter element; a receiver path to sample a received signal based on a sampling schedule; a noise detector to measure receiver path noise; and a controller to perform a calibration process. The calibration process includes acquiring a first measurement of receiver path noise for a first candidate offset setting that defines a first time offset applied to default timing of one of the switching schedule and the sampling schedule; acquiring a second measurement of receiver path noise for a second candidate offset setting that defines a second, different, time offset applied to default timing of the switching schedule and the sampling schedule; and selecting for use in sampling the received signal, one of the first or second candidate offset setting based on a noise-based criteria.

The invention discloses a high-precision active receiving link phase jitter measurement method, which comprises the following steps of: measuring the phase of the same point frequency signal for multiple times by using an active receiving link, counting a measurement result, obtaining a phase jitter result, analyzing the signal-to-noise ratio of the point frequency signal received by the active receiving link, and calculating the signal phase jitter caused by noise corresponding to the signal-to-noise ratio by using a Cramer-Rao bound formula. And deducting phase jitter caused by noise from a statistical result of dot frequency signal phase measurement to realize accurate measurement of the phase jitter by the active receiving link.

To provide an EMC countermeasure presentation system capable of efficiently extracting and presenting an emission countermeasure case in another field and another model with high similarity (countermeasure effectiveness) in consideration of a device configuration of an electronic apparatus.SOLUTION: A similar configuration extraction unit 3 configured to extract, based on device configuration data 11 at the time of noise measurement, device configuration data at a short distance by configuration learning data 9 obtained by learning a graph model representing a device configuration when the noise countermeasure and reduction amount frequency data is acquired; and a countermeasure estimation unit 4 configured to estimate, from data obtained from the reduction countermeasure extraction unit and the similar configuration extraction unit, a recommended countermeasure content having a high degree of similarity of a device connection configuration and expected to have an excessive noise reduction effect.SELECTED DRAWING: Figure 1

Provided is a semiconductor integrated circuit device including a pseudo-random pattern generator configured to output a pseudo-random pattern, a terminal for externally outputting an output of the pseudo-random pattern generator or an evaluation result of noise tolerance evaluated on the basis of the pseudo-random pattern.

Systems and methods are disclosed that monitor for supply noise from a power source using a voltage noise monitor (VNM). For instance, the VNM may include voltage sense circuitry comprising a controllable resistor that is controlled using threshold information. The resistance of the controllable resistor may be changed based on closing and / or opening one or more switches associated with step resistors using the bits from the threshold information. Furthermore, the VNM may include digital circuitry that comprises a hold finite state machine and a sticky hold counter. Using the digital circuitry, the VNM may be configured to hold a noise detection event for a plurality of clock cycles. In addition, the VNM may perform a calibration process based on setting two voltages for the power source to obtain two codes, and determining a transfer function based on the two voltages and the two codes.

The utility model discloses an operational amplifier test device, which comprises a single chip microcomputer, a power supply noise superposition module, an operational amplifier module to be tested, an amplification module and an upper computer, the power supply noise superposition module is electrically connected with the single chip microcomputer to receive PWM signals of the single chip microcomputer, and the power supply noise superposition module carries out voltage division and voltage superposition processing on the PWM signals. The power supply noise superposition module is electrically connected with the to-be-tested operational amplifier module and provides power for the amplification module, the amplification module is electrically connected with the to-be-tested operational amplifier module and receives noise output by the to-be-tested operational amplifier module, the amplification module amplifies the noise, the single-chip microcomputer is electrically connected with the amplification module, the single-chip microcomputer samples the noise to obtain a data signal, and the data signal is transmitted to the power supply noise superposition module. The upper computer is electrically connected with the single-chip microcomputer and receives the data signal, the upper computer analyzes the data signal to generate a corresponding analysis report, the noise influence of an interference source is reduced, and the stability of the detection operational amplifier is improved.

The invention provides a flexible display screen bending angle and conductivity correlation test method and system, and relates to the technical field of display screen testing, and the method comprises the steps: synchronously recording an angle and a plurality of electrical parameters in a bending process, calculating a resistance hysteresis loop area and a residual increment, and distinguishing damage types through AC impedance. Microcracks are identified through resistance noise power, a phase-space analysis is established to identify a damage evolution stage and a turning point, a damage concentration section is determined, a position migration sequence is recorded, and a damage development trend is predicted, so that accurate evaluation and prediction of the reliability of the flexible display screen are realized.

An apparatus and system for remote attestation of a power delivery is disclosed. Embodiments of the disclosure enable remote attestation of the power delivery network by storing a trusted golden reference waveform in secure memory. The trusted golden reference waveform characterizes a power delivery network in response to a load generated on the power delivery network. A remote cloud server generates a server-generated remote attestation of the power delivery network by receiving an attestation packet from the power delivery network and verifying whether the attestation packet is consistent with an expected power delivery network identity.

The invention discloses a satellite receiving system GT value automatic test method, equipment, a medium and a product, and relates to the field of satellite ground station automatic test. The method comprises the following steps: firstly, calculating factors by adopting a radio power source direct method test process; calculating an atmospheric correction coefficient according to environmental parameters actually measured by the ground station; acquiring a real-time radiation source angle diffusion coefficient by using moon observation data of Chang'e 2 and an antenna working frequency band; obtaining the real-time average brightness temperature of the moon according to moon observation data of Chang'e 2; and then the G / T value of the receiving system is obtained through calculation, and automatic testing of the G / T value of the receiving system is completed.

The present disclosure relates to test and / or measurement system including a base unit with a test ports connectable to a DUT. The base unit includes a port unit connected to one of the test ports. The port unit includes an image-free receiver circuit. An input of the circuit is connected to the one test port. The system includes an ADC unit. An output of the circuit is connected to the ADC unit. A signal source generates a stimulus signal and / or a known noise source to generate a noise signal. If the system operates in an S-parameter measurement mode, the stimulus signal is feedable to a first port of the DUT; and / or, if the system operates in a noise measurement mode, the noise signal is feedable to the first port or to a second port of the DUT. The input connects to the first or second port of the DUT.

A test and measurement probe device is disclosed. In some implementations, the device may include one or more sensors. In addition, the device may include a plurality of analog signal paths, each analog signal path connected to one of the one or more sensors. The device may include an adjustable gain element within each analog signal path. Moreover, the device may include a combiner to combine the output of each adjustable gain element together to produce a probe output signal. Also, the device may include a digital path including a processor, where the processor is configured to compute a gain value for at least one adjustable gain element.

The invention discloses an intelligent pulse parameter detection method and system based on deep learning, and the method is used for the automatic analysis of the time-frequency data of a transient astronomical signal, and comprises the steps: S1, an imaging stage: carrying out the physical correction of original FRB signal data observed by a radio telescope, converting the original format of the signal data into a standardized time-frequency graph matrix two-dimensional image; s2, a detection stage: inputting the time-frequency graph into a deep learning model; the deep learning model automatically locates a time-frequency region where an FRB pulse signal is located in background noise through a signal discrimination branch by using the feature extraction capability of the deep learning model; and S3, a regression stage: after the signal area is successfully positioned, the network directly regresses various attributes of the target through two branches, so that predicted values of various pulse parameters of the FRB signal are obtained. According to the method, extraction of a plurality of parameters is integrated into one end-to-end deep learning model, so that the data processing speed is greatly improved, and the processing flow is simplified.

The invention belongs to the technical field of commercial cipher system testing, and particularly relates to a quantum random number generator-based commercial cipher system entropy source quality detection method, which comprises the following steps of: acquiring shot noise of a light quantum detector at a high sampling rate, removing direct current bias by using a moving average subtraction method, and acquiring a quantum fluctuation sequence of a zero mean value; based on a variance ratio of the sequence and short-range autocorrelation, nonlinear mapping of an exponential function is utilized to obtain correlation degree so as to amplify a weak non-quantum memory effect; obtaining an evaluation model containing hyperbolic cosine and a logarithmic function by combining the drift potential energy of the bias voltage relative to the target value and the aging time of the device, and obtaining a dynamic entropy loss index; and comparing the entropy loss index with a preset threshold value, and executing self-adaptive bias current feedback regulation or triggering hardware fusing according to a comparison result. According to the invention, the problem of recessive degradation of the entropy source caused by drifting of the working point of the detector is solved, and accurate closed-loop control of the quality of the entropy source is realized.

The invention discloses an unmanned aerial vehicle detection method and device, relates to the technical field of unmanned aerial vehicle detection, and aims to solve the problems of high cost and complex system caused by the fact that detection can be realized only by configuring expensive equipment when an unmanned aerial vehicle uses a wireless silent scene in an existing unmanned aerial vehicle detection method. The method comprises the following steps: acquiring electromagnetic spectrum data of a monitoring area; extracting an EMI noise signal from the electromagnetic spectrum data by adopting a signal modulation mode recognition algorithm; measuring the bandwidth of the EMI noise signal, and determining the noise source type of the EMI noise signal according to the bandwidth; and calculating a correlation coefficient between the frequency spectrum of the EMI noise signal and the frequency spectrum fingerprint, and determining the unmanned aerial vehicle type corresponding to the frequency spectrum fingerprint with the maximum correlation coefficient as a target unmanned aerial vehicle type. The unmanned aerial vehicle detection method provided by the invention is used for unmanned aerial vehicle detection when the unmanned aerial vehicle is in a wireless silent scene.

The application relates to the technical field of noise evaluation, and discloses a process-based noise quality evaluation method and system for an electric driving system, which comprises the following steps: collecting an in-vehicle sound pressure time domain signal of the electric driving system in a variable rotating speed process and a corresponding rotating speed signal, resampling the sound pressure time domain signal based on the rotating speed signal, determining the center frequency of different rotating speeds based on a target order spectrum, determining an order energy curve according to an order locking frequency band, expanding outward based on the center frequency as a symmetric reference, eliminating the frequency range of the order locking frequency band in the reference frequency band, searching for noise results along the rotating speed direction, identifying intervals with noise results higher than zero, and obtaining corresponding peak amplitudes and interval widths in each interval. The peak amplitudes and interval widths of all intervals are synthesized, and the noise quality of the electric driving system is evaluated based on a noise evaluation value. The application ensures the reliability of the noise quality evaluation of the electric driving system.

To easily acquire training data when using machine learning to determine whether each of components resulting from measurement of signals derives from a signal source or derives from a noise source.SOLUTION: A signal / noise determination device 1 comprises: a plurality of sensors 12a that measure signals and noise; a determination model recording unit 14 that records a determination model that determines whether each of components resulting from measurement derives from signal sources S1, S2 or derives from noise sources N1, N2, the determination model generated by machine learning by using measurement results of the sensors 12a that are expected when signal information and noise information are assumed, hypothetical signal information (i.e., signal source position and signal), and hypothetical noise information (i.e., noise source position and noise), as training data; and a signal / noise determination unit 16 that determines, on the basis of the measurement results and the determination model, whether each of components resulting from measurement derives from the signal sources S1, S2 or derives from the noise sources N1, N2.SELECTED DRAWING: Figure 1

The present disclosure relates to a test and / or measurement system for measuring a noise figure of a device-under-test (DUT). The test and / or measurement system comprises: a test port arranged for being connected to a port of the DUT; an interface unit comprising and amplifier; and a first receiver circuit; wherein, if the test and / or measurement system is operated in a noise figure measurement mode, an input port of the amplifier is electrically connected to the test port and an output port of the amplifier is electrically connected to the first receiver circuit; wherein the interface unit further comprises a biasing circuit which is electrically connected to the output port of the amplifier and is configured to provide a biasing current and / or voltage for the amplifier during operation; and wherein the biasing circuit comprises at least one gyrator circuit.

The invention provides a charging pile load radiation disturbance background noise monitoring method, which comprises the steps of obtaining real-time current data and a magnetic flux density value in a magnetic core during operation of a charging pile, determining an initial current threshold value of the saturation degree of the magnetic core, and calculating a deviation value between the magnetic flux density and a preset saturation threshold value to obtain a saturation deviation value; according to the saturation deviation value, identifying the magnetic field distribution intensity of the magnetic core under the current load by adopting a finite element analysis method, and judging the radiation suppression weakening degree to obtain a radiation weakening multiple; processing real-time waveform data of a ground noise signal generated by an internal circuit of the charging pile and detected and received by a magnetic core according to the radiation weakening multiple, and determining a trigger point of an electromagnetic unstable cycle; and adjusting a magnetic core configuration value according to the offset amplitude prediction value to recover radiation intensity control, identifying a real-time calibration bottom noise fluctuation level, and monitoring an attenuation effect of an electromagnetic unstable cycle in a calibration process to obtain an optimized compatibility performance value.