5799 results about "Signal on" patented technology

The invention is suitable for the technical field of electrical equipment state monitoring, and provides an electrical equipment state monitoring method based on a non-contact leakage current sensor, and the method comprises the steps: collecting a leakage current signal of the surface of an insulating part of electrical equipment, and obtaining infrared thermal image data and an ultrasonic signal; variational mode decomposition is carried out on the leakage current signal to obtain a plurality of intrinsic mode functions; separating a leakage current effective component and an independent noise source based on a blind source separation algorithm; extracting a time-frequency characteristic of the effective component of the separated leakage current, extracting a local temperature gradient characteristic of the infrared thermal image data and a frequency spectrum energy characteristic of the ultrasonic signal, and generating a multi-modal characteristic vector; analyzing the space-time relevance of the multi-modal feature vector, dynamically distributing each modal weight coefficient for fusion, and generating a comprehensive fault feature; according to the method, the signal-to-noise ratio of the weak leakage current signal is improved, and the misjudgment rate is effectively reduced.

A method for determining the speed of sound in a fluid in the region of an implanted, vascular support system includes sending an ultrasonic signal using an ultrasonic sensor, reflecting the ultrasonic signal on at least one sound reflector, receiving the reflected ultrasonic signal, and determining the speed of sound in the fluid using the ultrasonic signal. The at least one sound reflector may be visible in the field of vision of the ultrasonic sensor and arranged at a defined distance at least to the ultrasonic sensor or to a further sound reflector.

The invention provides a method for reducing the multipath effect of a take-off and landing guide radar based on adaptive off-axis tracking, and the method comprises the steps: enabling the take-off and landing guide radar to transmit a signal, and transmitting the signal to a radar direction after receiving the signal; the radar receives the direct signal and the multi-path signal at the same time, and separates and establishes a spatial-temporal characteristic database of the multi-path signal; when the influence of the signal on the angle error exceeds a dynamic threshold value, starting an off-axis tracking mode; dynamically calculating the optimal off-axis angle, locking the elevation angle of the antenna, and performing closed-loop tracking of the azimuth; carrying out conjoint analysis, and identifying and eliminating false targets in real time; intelligent suppression is carried out on angle random errors; a real-time multi-path propagation model is constructed, and phase and amplitude compensation is carried out on a received signal. The method has excellent real-time performance and engineering realizability, and can meet strict requirements of aircraft precision approach guidance. The method has good expandability and adaptability, and provides reliable technical support for guaranteeing safe take-off and landing of the aircraft in severe weather and complex environments.

Provided in the present disclosure are a device fault prediction method and apparatus, and a readable storage medium and an electronic device. After feature signals of a device are extracted, by selecting different feature extraction methods on the basis of feature types in the feature signals, and extracting different features in the feature signals on the basis of the different feature extraction methods, feature extraction methods adapted to fault features can be used to extract different fault features to realize secondary processing of the fault features, thereby extracting training samples with highly concentrated features; and then, by inputting the training samples into a machine learning classification algorithm for data mining, a fault prediction model with an accurate input and output relationship is established, so that the aim of accurately predicting a device fault is achieved by means of the established fault prediction model in combination with a device feature signal to be predicted.

The invention discloses a GNSS deception signal detection method based on a time-frequency domain feature fusion deep learning model, and relates to the technical field of intelligent detection. The method comprises the following steps: acquiring original GNSS signal data, preprocessing the data, and dividing the data into a training set and a test set; in the model training stage, a pre-training lightweight deep learning model is utilized to extract time domain convolution features and multi-resolution frequency domain features, and weighted correction and fusion among the features are realized through a bidirectional attention mechanism; and carrying out iterative training on the model based on the fusion feature vector, and finally carrying out deception signal detection on a test set by utilizing the trained model. According to the invention, through a time-frequency domain feature deep interaction and model training mechanism, the deception signal is detected through the model, and the detection precision of the GNSS deception signal in a complex scene and the anti-interference capability of the model are significantly improved.

The present application relates to an energy-storage power-conversion series compensation system and a stability analysis method therefor, a damping controller, and an energy storage system, wherein a voltage signal on a capacitor arranged between an energy storage battery pack and a converter of the energy-storage power-conversion series compensation system can be collected, and whether an activation condition is met is determined based on the voltage signal; when the activation condition is met, an adaptive adjustment filter is activated to bring the damping controller into operation within the energy-storage power-conversion series compensation system. A voltage synchronization controller determines, on the basis of a sub-synchronous frequency band voltage signal output by the adaptive adjustment filter and an initial voltage signal, a required output phase angle signal corresponding to a pulse width modulation signal for controlling operation of the converter.

Disclosed in the present invention are a dual-end monitoring-based partial discharge source localization method and system for high-frequency partial discharge of a high-voltage cable. The method comprises: acquiring operation data and phase velocity test data of a high-voltage cable; when a partial discharge fault occurs in the high-voltage cable, collecting partial discharge signals on two sides of the high-voltage cable by means of sensors on the two sides of the high-voltage cable; performing Fourier transform respectively on the basis of the partial discharge signals on the two sides to obtain amplitude-frequency characteristics of the partial discharge signals, and preprocessing the collected partial discharge signals on the basis of the amplitude-frequency characteristics to optimize and improve a phase difference algorithm; and by incorporating the phase velocity test data of the high-voltage cable, using the improved phase difference algorithm to perform partial discharge source localization on the faulty cable. In the present invention, dual-end monitoring is used to reduce the attenuation of signals caused by long-distance transmission, and synchronization of two sensors is performed using a PTP protocol, effectively reducing errors; and in addition, during monitoring, partial discharge source localization is performed using the improved phase difference algorithm, which is conducive to resisting external interference, and there is no need to determine the time of arrival, greatly improving the positioning accuracy.

The invention relates to the technical field of probe calibration, and discloses a probe calibration method and device and probe control equipment, and the method comprises the steps: calculating a vibration wavelength, and constructing a multi-probe measurement structure; synchronously acquiring a wafer surface vibration signal by using a multi-probe measurement structure, and calculating probe vibration characteristic data; acquiring a multi-measurement path electrical signal of the multi-probe measurement structure, and processing the multi-measurement path electrical signal through a baseline automatic encoder to obtain an environment temperature characteristic; calculating a signal deviation value between the measured signal and the baseline signal, and correcting the signal deviation value to obtain an electrical signal after temperature compensation; layered calibration is carried out on the probe vibration characteristic data and the electrical signal after temperature compensation to obtain a wafer electrical characteristic measurement result, so that a more comprehensive and accurate temperature compensation effect is realized, the calibration weight of each layer can be dynamically adjusted according to the probe vibration state and the temperature change degree, the calibration effect is optimized, and the measurement accuracy is improved. And the calibration method has higher environmental adaptability and robustness.

The invention discloses a transformer bushing high-frequency partial discharge signal on-line monitoring method and system, and relates to the technical field of electrical equipment insulation state monitoring, and the method comprises the steps: synchronously collecting signals based on a high-frequency current sensor and an ultrahigh-frequency sensor; performing mixed noise reduction and feature extraction according to the collected signals; and carrying out discharge type identification on the processed data by constructing a lightweight convolutional neural network, and carrying out early warning and positioning in combination with a dynamic alarm threshold. The method can significantly improve the signal-to-noise ratio and enhance the weak discharge signal detection capability by combining the dual-mode sensor with a hybrid noise reduction strategy of wavelet packet decomposition and adaptive filtering, adopts the lightweight convolutional neural network, supports edge equipment to implement reasoning, realizes intelligent identification of the discharge type, and improves the detection accuracy of the weak discharge signal. The insulation state of the transformer bushing is monitored online in real time, off-line dependence is reduced, the service life of equipment is prolonged, and the intelligent level of operation and maintenance of a power system is improved.

The invention relates to the technical field of mobile phone detection, in particular to an OLED mobile phone screen linear defect detection method and system. According to the method, the vibration time domain signal on the surface of the screen within the preset time period is obtained and does not depend on the display brightness of the screen, and the defect position is obtained through the abnormal signal interval, so that misjudgment caused by non-uniform brightness of the display image is avoided, the spectral data of each pixel is captured by using the spectral image, and the detection accuracy is improved. The influence of ambient light and display brightness can be effectively eliminated, defects are analyzed through the gradient magnitude of spectral data, misjudgment caused by light change and screen brightness difference can be reduced, abnormal pixels and normal pixels are distinguished by analyzing the gradient magnitude, subtle differences between the pixels can be recognized more accurately, and the accuracy of the detection result is improved. By acquiring the parameter features of each abnormal pixel, the characteristics of the defect can be described more comprehensively, so that the accuracy of defect identification is improved, the defect degree is evaluated through the parameter features, and more accurate defect degree evaluation can be obtained.

The invention discloses an aircraft control surface oscillation fault monitoring method based on multi-scale wavelet transformation, and the method comprises the steps: carrying out the calculation through a PID (Proportion Integration Differentiation) control law through an autopilot according to an input flight path command, and obtaining a control surface control instruction deltadepth; a control surface deflection prediction value delta est is generated based on the nonlinear model and the control surface control instruction, the control surface deflection prediction value and an actual deflection value delta mea collected by the sensor module are subtracted to generate a residual signal Rn, and the residual signal is decomposed into a plurality of sub-band signals through wavelet decomposition; wavelet energy calculation is carried out on the sub-bands possibly containing the control surface oscillation fault signals, whether a fault occurs or not is judged according to the magnitude of an energy comparison threshold value, and the judgment threshold value is determined through Monte Carlo simulation. According to the method, instruction signals are separated by generating residual errors, wavelet transform processing is carried out on residual error signals, interference of noise and irrelevant frequency signals on monitoring performance is reduced, meanwhile, small-amplitude oscillation signals can be effectively monitored according to sub-band wavelet energy serving as a fault criterion, and the monitoring coverage rate of oscillation faults is remarkably increased.

The invention provides a multi-sensor weld penetration state recognition method for improving an attention mechanism, relates to the technical field of weld recognition, and solves the technical problem of inaccurate weld quality judgment caused by insufficient recognition precision of a single signal on a penetration state in the prior art. According to the technical scheme, a sound signal in the welding process and a molten pool image in the welding process are collected; effective sound signals are extracted, and then the sound signals are visualized by using a Gramer angle field method; performing de-exposure processing on the overexposure area through a decoupling polymerization exposure correction model; a channel attention and space attention mechanism is introduced into sound and image feature extraction, deformable convolution self-adaptive sampling is utilized, a double-cross attention fusion strategy is combined to fuse multi-source information, fusion penetration state classification is completed, and therefore the quality of a welding seam is judged. According to the method, the penetration state can be accurately classified through the sound signal extracted in the welding process and the molten pool image, and a certain thought is provided for weld quality detection.

The invention provides an AGC signal intelligent correction and control method, device, equipment and medium, and the method comprises the steps: collecting an AGC instruction signal of a power grid dispatching side, an actual power feedback signal of a power plant side and a unit operation state parameter, and constructing multi-source heterogeneous data; inputting the multi-source heterogeneous data into a pre-trained digital twinborn model to obtain a predicted value of the real power of the unit; calculating a real-time deviation between the predicted value of the real power and the actual power feedback signal, and dynamically compensating the AGC instruction signal based on the real-time deviation to generate a corrected AGC instruction signal; and on the basis of the corrected AGC instruction signal, a feedforward control signal is generated, and is superposed to a basic control instruction of a unit distributed control system (DCS) in an increment form, so that full-load section accurate control is realized, and the problems of accurate correction of the AGC signal, accurate prediction of real power and dynamic compensation are solved.

The invention discloses a traveling wave head fault positioning method and system based on modal decomposition and a neural network, and the method comprises the steps: obtaining a first traveling wave signal on a power transmission line, and extracting a waveform feature corresponding to the first traveling wave signal; inputting the waveform characteristics into a preset parameter optimization model, determining a corresponding optimal decomposition parameter, performing multi-scale variational mode decomposition on the first traveling wave signal by using the optimal decomposition parameter to obtain a plurality of initial modes, and determining a corresponding key mode based on each initial mode; inputting the key mode into a preset distortion elimination model, determining a distortion result of each sampling point in the key mode, and filtering a distortion section of the first traveling wave signal based on the distortion result and the key mode to obtain a second traveling wave signal; and determining a traveling wave head abrupt change point based on the second traveling wave signal, and determining a corresponding fault position based on the traveling wave head abrupt change point. According to the invention, the accuracy of traveling wave head fault positioning can be improved.

The invention discloses a plug-in circuit breaker power supply device of a power distribution box, and particularly relates to the technical field of power distribution boxes, the plug-in circuit breaker power supply device comprises an insulating frame body, a regulation and control assembly is arranged on the insulating frame body, the regulation and control assembly comprises a central partition plate arranged in the insulating frame body, and a plurality of current converters are plugged on the central partition plate; supporting insulating frames are arranged on the two sides of the bottom of the center partition plate. The first conductive connecting strip, the second conductive connecting strip and the current collector are rapidly separated in a rotating rod deflection mode, the insulation performance is effectively ensured, rapid opening and closing are easy, the second conductive connecting strip can make contact with the third conductive connecting strip, the signal conversion and transmission function is achieved, and the service life is prolonged. And the fourth conductive connecting strip can transmit a current signal on the current frequency converter to the other current collectors after being transferred by the fourth conductive connecting strip, and each structure realizes a rapid opening and closing current conversion mode, so that the insulation performance of the device during use can be effectively ensured.

The invention provides an anti-interference sound signal data extraction method based on energy data perception, and belongs to the technical field of underwater sound signal processing, and the method comprises the steps: carrying out the A / D sampling and digital orthogonal demodulation of a received sound signal, and obtaining a baseband signal; performing low-pass filtering and downsampling on the baseband signal to obtain a preprocessed signal; performing matched filtering on the pre-processed signal by using a reference signal; the key improvement lies in that a local energy estimation function of a preprocessed signal is calculated, and normalization processing is carried out on a matched filtering result and the energy estimation function to obtain a normalized detection signal. The method effectively suppresses the shielding effect of a strong interference signal on a weak target signal under a non-orthogonal reference signal and a strong near-end and weak far-end scene, remarkably reduces the misrecognition probability, and improves the accuracy and reliability of the extraction of a long-distance and low-signal-to-noise-ratio target beacon signal in a complex underwater acoustic environment. The method is suitable for underwater navigation, positioning and communication systems.

The power conversion device provided by the invention comprises a direct current end, a positive direct current bus, a negative direct current bus, a positive bus capacitor, a negative bus capacitor, at least three inverter bridge arms, a switch unit, a controller, filter inductors corresponding to the at least three inverter bridge arms one by one, a filter capacitor and an alternating current end. And the third end of each inverter bridge arm sequentially passes through the filter inductor, the filter capacitor and the switch unit corresponding to each inverter bridge arm and then is connected with the midpoint of the bus. The controller controls the switch unit to be switched off or the impedance of the switch unit to be increased when the voltage of the power grid is smaller than or equal to a first voltage threshold value; and after the switch unit is switched off or the impedance of the switch unit is increased, the modulation wave of each inverter bridge arm is controlled to be the modulation wave after the first common-mode modulation signal is superposed on the initial modulation wave of each inverter bridge arm, so that the amplitude of the modulation wave of each inverter bridge arm is increased. Furthermore, not only can the loss of the switching tube in each inverter bridge arm be balanced, but also the problem of common-mode oscillation caused by modulation wave change can be improved.

The embodiment of the utility model provides an optical fiber recognizer and an optical fiber recognition system, and belongs to the technical field of optical communication, the optical fiber recognizer comprises a vibration structure and a bending structure, an optical signal on an optical fiber firstly passes through the vibration structure and then passes through the bending structure, the vibration structure drives the optical fiber to reciprocate so as to repeatedly bend the optical fiber, and an optical signal with periodically changed optical power is generated. The bending structure drives part of the optical fiber to move to bend the optical fiber, and the variation of the optical power can be judged by detecting the light leakage amount caused by bending of the optical fiber. When the detector detects and identifies the periodically changing optical signal, online lossless identification of the optical fiber is realized, and the periodically changing optical signal is taken as a criterion, so that misjudgment can be avoided. According to the variable quantity of the optical power, feedback adjustment of the bending quantity of the optical fiber can be achieved, the bending quantity can be correspondingly adjusted according to optical fibers with different wire diameters and wavelengths, optical signals with certain optical power variable quantity and periodical change are generated, accurate lossless identification is achieved, and the risk of service interruption caused by too large bending loss is avoided.

The invention provides an array substrate and a display device, and the array substrate comprises a substrate; the gate insulating layer is arranged on the substrate; the data line is arranged on the gate insulating layer; the first passivation layer is arranged on the gate insulation layer and covers the data line; the first shielding electrode is arranged on the first passivation layer, and the first shielding electrode is connected with the direct-current voltage signal output end; the second passivation layer is arranged on the first passivation layer and covers the first shielding electrode; the common electrode is arranged on the second passivation layer, and a part of the common electrode is overlapped with the data line and the first shielding electrode; the pixel electrode and the common electrode are arranged on the same layer or stacked, and the pixel electrode is insulated from the common electrode. The first shielding electrode is connected to the direct-current voltage signal, so that the data voltage signal on the data line does not affect the signal on the common electrode, coupling capacitance between the common electrode and the data line is avoided, and poor display of picture flicker is avoided.

A device and method for functional electrical stimulation intended to be positioned on an upper limb of a user for stimulation of the user's upper limb, includes an electrode configured to be disposed on an upper limb of the user, the electrode having a number of electrode pads adapted to generate stimulating electrical signals on the upper limb of the user, and a stimulator having an embedded sensor configured to detect a movement of the stimulator, and a control component configured to process the sensor measurements and determine an intention of the user to perform an action with his / her upper limb on which the electrode is disposed, and to control the activation and / or deactivation of the electrode pads based on the sensor measurements.

The invention belongs to the technical field of display driving, and particularly relates to a display panel, a display driving method and a display device.The display panel comprises N rows of scanning lines, M columns of data lines and pixel circuits arranged in an array; each pixel circuit comprises a pixel unit and a control unit, and the first control end of the (2n-1) th row of control unit and the first control end of the (2n) th row of control unit are respectively connected with the nth row of scanning line; when the nth row of scanning line is started, a data signal on the mth column of data line controls any one of the control units in the mth column and the 2n-1 row and the control units in the mth column and the 2n row to be switched on or switched on alternately in a time-sharing manner, or the data signal on the mth column of data line controls any one of the control units in the mth column and the 2n-1 row and the control units in the m-1 column and the 2n row to be switched on or switched on alternately in a time-sharing manner; the number of scanning lines is reduced by half under the display condition of the same resolution, the power consumption and the cost of the panel are reduced, and the refresh rate and the aperture opening rate are also improved.

The invention relates to the technical field of communication, and discloses an awakening method, equipment and a storage medium. The wake-up method comprises the following steps: when a hardware device enters a sleep state, setting a data acquisition pin in a serial communication protocol interface in a power-off state in the hardware device as a trigger function. When a data acquisition pin receives a low level signal on a data line of a corresponding communication bus, a hardware device can be directly triggered to wake up from a sleep state; or when the data acquisition pin receives a low level signal on the data line of the corresponding communication bus, the serial communication protocol interface can be triggered to enter a working state, and after the serial communication protocol interface receives address data and an awakening instruction matched with the hardware device, the hardware device is awakened from the sleep state. Therefore, based on the method, when the hardware device enters the sleep state, the wake-up source (namely the serial communication protocol interface) can enter the power-off state, so that the power consumption of the electronic equipment is saved.

A communication device for providing a channel state information, CSI, feedback in a wireless communication system includes a transceiver to receive, from a transmitter a radio signal via a time-variant, frequency-selective MIMO channel, the radio signal including downlink reference signals according to a reference signal configuration including a number of antenna ports, and downlink signals including the reference signal configuration; and a processor. The processor estimates an explicit CSI in the frequency domain using measurements on the downlink reference signals on the radio channel, selects a Doppler-delay precoder matrix (W) for a composite Doppler-delay-beam three-stage precoder, calculates either one or more of a channel quality indicator, CQI, and / or a precoder matrix indicator, PMI, and / or a rank indicator, RI, and reports to the transmitter the CSI feedback including either one or more of the CQI, and / or the PMI and / or the RI.

A data channel on an integrated circuit device includes a non-linear equalizer having as inputs digitized samples of signals on the data channel, decoding circuitry configured to determine from outputs of the non-linear equalizer a respective value of each of the signals, and adaptation circuitry configured to adapt parameters of the non-linear equalizer based on respective ones of the value. The non-linear equalizer includes a non-linear filter portion, and a front-end filter portion configured to reduce numbers of the inputs from the digitized samples. The non-linear equalizer may be a neural network equalizer, such as a multi-layer perceptron neural network equalizer, a reduced complexity multi-layer perceptron neural network equalizer, or a radial-basis function neural network equalizer. Alternatively, the non-linear equalizer may include a linear filter and a non-linear activation function, which may be a hyperbolic tangent function.

The invention relates to the technical field of radars, and particularly discloses a self-adaptive radar system and algorithm optimization method suitable for a complex multipath environment, and the system comprises a signal sensing module, a multipath analysis module, an antenna control module, a data processing module, a target detection module, an intelligent decision module, a system monitoring module, a communication transmission module, and a man-machine interaction module. According to the adaptive radar system suitable for the complex multipath environment and the algorithm optimization method, the multipath anti-interference capability of the radar system is remarkably improved, interference of multipath signals on the radar system is effectively reduced through innovative system architecture design, adaptive antenna design and an advanced data processing algorithm, and the system performance is improved. In addition, due to the self-adaptability and the real-time processing capability of the system, the system can quickly adapt to different multi-path environments, and stable operation in various complex scenes is ensured.

The invention relates to the technical field of building structure health monitoring, in particular to an assembly type building detection method and system, and the method comprises the steps: collecting a strong interference signal generated by an external impact source of a building, and obtaining the sound source positioning information of the strong interference signal, converging the sound source positioning information of the strong interference signal on a preset three-dimensional geometric model aligned with a coordinate system to generate a real-time interference source distribution map; in the conventional detection mode, after a to-be-distinguished target acoustic signal is detected, obtaining a theoretical acoustic signal arrival time sequence based on sound source positioning information of at least one strong interference signal in the real-time interference source distribution diagram; comparing the actual acoustic signal arrival time sequence of the target acoustic signal with the theoretical acoustic signal arrival time sequence to obtain a comparison result; and judging whether the target acoustic signal is damaged in the building or not according to a comparison result. Real damage events from the interior of the structure can be effectively separated and confirmed, and the accuracy and reliability of detection are improved.

The invention provides an ultrasonic detection method and system for inverting residual stress by using sound wave phase velocity, and belongs to the field of air coupling ultrasonic guided wave detection. The method is based on an air coupling ultrasonic guided wave sound field propagation finite element model, and guides optimization design of air coupling ultrasonic transducer parameters. The air coupling ultrasonic guided wave detection technology is adopted for conducting non-contact excitation and receiving of guided wave signals on the composite material component with the preset stress through the stretcher. And calculating the phase velocity of the air-coupled ultrasonic guided wave in the composite material component based on a geometric positioning and time difference cooperative gradual difference method. And calibrating the phase velocity in the target composite material and preset stress to obtain a corresponding relational expression, performing phase velocity detection on a composite material component with unknown stress based on a calibration result of the target composite material, and performing inversion to obtain composite material construction residual stress. By adopting the method and the system, the residual stress detection of the composite material component is realized.

Disclosed are a method and device for a setup related to sensing in a wireless LAN system. A method for a first station (STA) to perform a sensing procedure in a wireless LAN system according to an embodiment disclosed herein comprises the steps of: receiving measurement setup information including one or more measurement parameter elements from a second STA; and performing the transmission or reception of a sensing signal on the basis of one specific measurement parameter element among the one or more measurement parameter elements, wherein the one or more measurement parameter elements may respectively correspond to one or more measurement setup identifiers.

The invention discloses an electric vehicle charging dynamic pricing method and system based on user consumption psychology, and the method comprises the steps: S1, calculating the response time period and the shortest charging time of a user according to the charging behavior data of an electric vehicle user, and screening the user with the demand response capability; s2, constructing a three-dimensional psychological feature vector based on the user with the demand response capability, performing weighted calculation on a user type decision parameter, and dividing user types; s3, constructing a differentiated comprehensive satisfaction model for different types of users; s4, constructing an electric vehicle charging double-layer pricing model based on a stackelberg game; and making a charging station price strategy, thereby realizing flexible regulation and control of the charging load of the electric vehicle. The method has the advantages of reducing the deviation between the scheduling instruction and the actual response, remarkably improving the regulation and control efficiency of the price signal on the load and the like.

Various technologies described herein pertain to a radar sensor system that determines if a point detected by the radar corresponds to a true target and outputs an indication upon which control of an autonomous vehicle may be based. The radar can be used to determine if the point corresponds to a false target, thereby mitigating false positives. The radar can be used to determine if an object coincides with a location of the false target, thereby mitigating false negatives. The radar employs an algorithm that includes applying different windows to a return signal on a beamforming stage and comparing the resulting windowed signals.