63 results about "Echo detection" patented technology

The invention relates to the technical field of cable measurement, and discloses a cable length measurement method based on coupling inductance and TDC, and the method comprises the following steps: test pulse reset, channel sequential gating, threshold dynamic adjustment, TDC state configuration, channel stable waiting, test pulse generation, time difference precise capture, validity intelligent judgment and data sorting optimization. According to the cable length measurement method based on the coupling inductor and the TDC, the coupling inductor is adopted to replace an FPGA to generate narrow pulses, the TDC is adopted to replace a high-speed ADC, and the hardware cost is reduced by 60%-80%; by optimizing the pulse generation and echo detection circuit, the measurement blind area is reduced to 0.5 m, the short-distance cable measurement requirement is met, and the device has the advantage of being small in measurement blind area.

The invention discloses a current transformer oil level monitoring system based on ultrasonic echo detection, which relates to the technical field of electric power monitoring and comprises the following steps: acquiring original echo time sequence data; calculating the distance between the transmitting end and the top of the metal expander by combining the propagation velocity of the ultrasonic waves in the air; and when the oil level height value is lower than a set threshold value, an alarm signal is triggered. According to the invention, the problems of easy clamping stagnation, complex installation, large temperature drift and environmental interference and the like of the traditional float-type, pressure-type and window observation methods are effectively overcome, remote uploading and local acousto-optic prompt are supported, and intelligent inspection and fault pre-warning identification under unattended operation are realized; and the operation safety, the monitoring reliability and the operation and maintenance intelligent level of the oil-immersed current transformer are remarkably improved.

The embodiment of the invention provides a transducer echo line sequence test method and a transducer echo line sequence test device, and the method comprises the steps: enabling a detection surface and a horizontal plane to form a first angle in an echo detection state, comparing waveform data of feedback signals obtained by reflecting the ultrasonic signals emitted by the plurality of test array elements through the detection surface with preset qualified data to determine a performance result of the transducer; in the line sequence detection state, a second angle is formed between the detection surface and the horizontal plane, and the actual flight time difference value of each adjacent test array element in the plurality of test array elements is determined according to waveform data of feedback signals obtained by reflecting ultrasonic signals emitted by the plurality of test array elements through the detection surface, and according to a comparison relation between a difference value between the actual flight time difference value and the theoretical flight time difference value and a preset threshold value, whether welding of each test array element is correct or not is determined. Therefore, an echo performance detection function and a multi-array element line sequence detection function can be integrated.

The invention discloses a side slope displacement monitoring method and device based on quantum single photons and a medium, and belongs to the technical field of displacement monitoring. Rectangular light pulses are emitted periodically, echo detection is completed by using a single photon detector, a photon counting time sequence is constructed, wavelet denoising and reconstruction processing is performed on the photon counting time sequence, main peak position offset, energy change and form distortion are extracted to match multiple types of feature vectors, and feature fusion and resolving are performed through a multi-source feature fusion BP neural network. And finally outputting a high-precision slope displacement result. According to the method, the quantum single-photon detection technology is combined with the wavelet denoising and neural network fusion algorithm, noise interference is effectively suppressed, the displacement feature extraction precision is improved, and the method is suitable for high-precision and long-distance slope micro-deformation real-time monitoring.

The utility model relates to the technical field of transducers, and discloses an ultrasonic echo detection circuit, comprising a common-mode module which is connected to a first echo input end and a second echo input end, receives a first input signal and a second input signal, and is used for carrying out common-mode processing on the first input signal and the second input signal and sending the processed signal to a processor; obtaining and outputting a first direct-current signal and a second direct-current signal; the amplification module is connected with the common-mode module, receives the first direct-current signal and the second direct-current signal, amplifies the first direct-current signal and the second direct-current signal respectively, and outputs the amplified first direct-current signal and the amplified second direct-current signal; and the filtering module is respectively connected with the amplification module and the echo output end, receives the amplified first direct current signal and the amplified second direct current signal, filters common-mode signals for the amplified first direct current signal and the amplified second direct current signal to obtain a differential signal, and outputs the differential signal to the echo output end. The problems that detected ultrasonic echo signals are large in signal noise and low in integrity are solved.

This invention discloses a clutter discrimination and suppression method based on multiple echo features, comprising: acquiring radar front-end clutter and target echo detection video data and dividing it into several connected regions; extracting multi-dimensional features and labeling prior information for each connected region; using the Relief feature selection algorithm to calculate and filter the weights of the multi-dimensional features, removing redundant features to obtain the optimal feature vector; using this feature vector to train a support vector machine classifier, and obtaining the optimal parameter model through cross-validation; acquiring measured clutter data, extracting corresponding features and inputting them into the model; and determining whether to remove clutter and retain targets based on the output. This invention effectively filters out dynamic clutter spots, avoids false deletion of weak targets, significantly reduces the false alarm rate of the system, and alleviates the computational burden of subsequent track processing.

The application discloses a kind of fast detection SMT patch quality device and method, including conveying line, and the top side of conveying line rear end is provided with sorting mechanism, and the outer wall on the top side of conveying line is welded with stand, and drive mechanism is arranged on the stand, and drive mechanism is installed with echo detector above conveying line, drive mechanism includes the rotating shaft installed on stand, and one end of rotating shaft is fixedly installed with crankshaft, and the end away from rotating shaft of crankshaft is fixedly provided with bearing seat, bearing seat is inserted with transmission rod in its inside, and one end of transmission rod is welded with fixed plate.The application mainly generates multidimensional echo signal by echo detector, the form of SMT patch on conveying line is shot by echo detector and transmitted to controller, and displayed on display, while it can be compared with reference picture or data input in storage module, SMT patch exceeding specified range will be marked, greatly shorten the inspection time and improve the inspection qualified rate of product.

This application belongs to the field of speech processing technology and discloses a method, apparatus, electronic device, and computer-readable storage medium for echo detection. The method includes: acquiring a first speech sent to a target device; acquiring a second speech responded by the target device based on the first speech; determining the similarity between the first speech and the second speech; and obtaining an echo detection result based on the similarity. This allows for accurate detection of speech echoes, thereby avoiding voice interaction errors caused by echoes.

The invention discloses an underwater pile foundation cleaning and detecting integrated device and a pile climbing robot, the integrated device comprises a frame unit, a cleaning unit and a detecting unit, the bottom of the frame unit is fixed to the top of the pile climbing robot, the middle of the frame unit is provided with a connecting part, and the connecting part is arranged outside a pile foundation in a sleeving mode; the cleaning unit comprises at least one chemical reagent spray-washing assembly and at least one boiling water flushing assembly, and the chemical reagent spray-washing assembly and the boiling water flushing assembly are arranged at the top of the frame unit; the detection unit comprises at least one camera detection assembly and at least one impact echo detection assembly, and the camera detection assembly and the impact echo detection assembly are arranged on the top of the frame unit. The technical problems that in the prior art, the function is single, the adaptability is poor, the integration degree is low, the cleaning effect is poor, and the detection precision is insufficient are solved.

The application belongs to the technical field of ultrasonic signal processing, and particularly relates to a dual-task deep learning model, an ultrasonic echo signal recognition and positioning method and a system, wherein the ultrasonic echo signal recognition and positioning method comprises obtaining a one-dimensional time sequence signal, inputting the one-dimensional time sequence signal into a trained dual-task deep learning model, and obtaining an echo detection result and a position prediction result. The application couples two tasks of 'classification of existence of echo' and 'positioning of position of echo' in a unified end-to-end model for joint optimization through construction of an innovative dual-task deep learning model architecture, a shared feature extraction backbone enables the model to learn powerful feature representations common to both tasks, the correlation information between tasks is utilized, and the performance is promoted and improved in cooperation, thereby improving the efficiency, so that higher comprehensive performance is obtained than that of processing the two tasks separately.

The application discloses a satellite shell part with low radar echo scattering, and belongs to the technical field of on-orbit stealth of aerospace vehicles, which comprises a shell framework and a skin arranged outside the shell framework, the skin is made of composite radar stealth material, the shell framework is made of resin material, the composite radar stealth material comprises two photonic crystal thin films and a nano zinc oxide material coating, and the satellite shell part has a goose egg-shaped appearance. The satellite shell part with low radar echo scattering adopts the above structure, the goose egg-shaped appearance design can make the radar echo reflection angle larger, so that the radar echo detection is less, and the stealth effect is remarkable; through the combination of the composite radar stealth material coating and the goose egg-shaped shell, excellent radar echo weakening effect under the comprehensive action can be realized, and the radar stealth effect covering X wave band and below can be further realized.

The invention provides an ultrasonic distance measuring method, a chip, an ultrasonic distance measuring device and electronic equipment. The ultrasonic ranging method comprises the following steps: driving an ultrasonic transducer to transmit an ultrasonic signal; acquiring an analog input signal determined by superposition of the echo signal and the aftershock signal received by the ultrasonic transducer; in the process of carrying out echo detection on the analog input signal, carrying out at least one analog gain switching on a first analog gain for carrying out analog amplification processing on the analog input signal at present so as to continue to carry out analog amplification processing on the analog input signal; and carrying out analog-to-digital conversion on the analog input signal after analog amplification processing to obtain a digital input signal, and carrying out distance measurement according to the obtained digital input signal. According to the ultrasonic distance measurement method, the dynamic range of the signal chain of ultrasonic distance measurement is enlarged, and the near-field blind area of ultrasonic distance measurement caused by aftershock attenuation of the ultrasonic transducer is avoided.

Embodiments of the present application provide an echo signal detection method, a chip and an apparatus of an ultrasonic sensor. The method comprises periodically reading a first point signal and a second point signal of an echo signal according to a preset reading frequency, the first point signal serving as a reference signal and the second point signal serving as a comparison signal; determining whether the reference signal and the comparison signal are target signals based on amplitude information of the reference signal and the comparison signal; when the reference signal and the comparison signal are the target signals, updating the preset reading frequency to a first frequency and updating a quantity of the target signals; when the reference signal and the comparison signal are not the target signals, updating the preset reading frequency to a second frequency and restoring or maintaining the quantity of the target signals to an initial value; the first frequency is not less than the second frequency; and determining whether a target echo signal appears based on whether the quantity of the target signals is greater than a preset value. The efficiency of echo detection is improved.

The invention provides a laser radar target echo generation device, and relates to the technical field of laser radar target characteristic digital simulation and high repetition frequency narrow pulse laser echo regeneration. According to the device, through a laser radar body target echo simulation system, a body target simulation model matched with a body target is screened out from a typical target model library; performing multi-channel optical characteristic simulation on the body target by using the laser radar, and generating body target echo simulation data of the laser radar on the typical target under different rendezvous conditions; the laser radar body target echo generation module is used for carrying out pulse echo detection of which the half bandwidth is in a nanosecond level according to the body target echo simulation data; a pulse current signal is converted into an electric pulse signal in an undistorted manner, the electric pulse signal is converted into an optical pulse signal in an undistorted manner, and the optical pulse power in a single pulse is modulated in real time. The problems that the target echo generated by the existing laser radar point target echo generation device is simple in characteristic and the real characteristic of the echo is difficult to simulate are solved.

The application provides a method and system for visual monitoring of emergency conference system equipment operation, audio signals at multiple positions in a target conference room are collected; a mixed signal formed by the audio signals is retrieved, the mixed signal is separated into multiple audio channels to form a matrix; a buffer area is set for each audio channel; the order of audio data input and output is controlled, left and right channel audio data of each channel is stored in a corresponding slave buffer area, and the slave buffer area is recalled to a master buffer area; volume size analysis, echo detection, howling detection and bottom noise detection are performed on audio data of the master buffer area; and audio quality abnormal conditions are recorded and displayed. The application realizes detection of the running state of an audio processor and a public address system, facilitates monitoring of the running state of equipment by operation and maintenance personnel, and improves operation and maintenance efficiency.

The application provides an obstacle detection method, a vehicle-mounted device and a vehicle. The method comprises the following steps: controlling a vehicle-mounted radar to alternately perform a first type of detection and a second type of detection in a time division multiplexing manner, wherein the first type of detection and the second type of detection are respectively used for detecting the height of an obstacle around the vehicle, and the height of the obstacle comprises a positive value and a negative value; when the second type of detection is performed, switching the working parameter of the vehicle-mounted radar from a first parameter set used in the first type of detection to a second parameter set optimized for a ground echo, and performing ground echo detection by using the second parameter set; and judging whether the height of the obstacle around the vehicle is a negative value according to a received echo signal of the second type of detection, and outputting a detection result. The method provided by the application provides more comprehensive environmental perception capability for automatic parking and low-speed driving of the vehicle.

The present application relates to the technical field of underwater acoustic signal processing, and particularly relates to a method for detecting underwater target echo in a strong reverberation background, comprising the following steps: performing band-pass filtering on received sonar echo signals to obtain filtered signals; performing sliding window segmentation on the filtered signals to form a plurality of short-time signal segments; extracting the envelope of the short-time signal segments and performing normalization processing on the envelope; performing differential processing on the normalized envelope to obtain a differential envelope signal; performing frequency spectrum transformation and frequency weighting processing on the differential envelope signal to obtain a weighted envelope spectrum; performing feature extraction on the weighted envelope spectrum, calculating the spectral entropy and spectral variance, and constructing a spectral variance-entropy ratio; and determining whether a target echo exists. The method can reduce the false alarm rate while maintaining a high detection probability, and avoids the performance degradation of existing matched filtering methods in a strong reverberation condition.

The application discloses a kind of slope displacement monitoring method, equipment and medium based on quantum single photon, belong to displacement monitoring technical field.The application is by emitting rectangular light pulse according to cycle, utilizes single-photon detector to complete echo detection and constructs photon counting time sequence, carries out wavelet denoising and reconstruction processing to it, extracts main peak position shift, energy change and form distortion matches multi-class feature vector, then carries out feature fusion and solution by multi-source feature fusion BP neural network, finally outputs high-precision slope displacement result.The application combines quantum single-photon detection technology with wavelet denoising, neural network fusion algorithm, effectively suppresses noise interference, improves displacement feature extraction accuracy, and is suitable for high-precision, long-distance real-time monitoring of slope micro-deformation.

The invention discloses a sensor chip, sensing equipment, an echo detection method and electronic equipment. The sensor chip includes: a detection module configured to detect an echo signal and including a first detection circuit and a second detection circuit configured to provide a first detection channel for a wave group in a first mode and a second detection channel for a wave group in a second mode, respectively; a processing module configured to determine a first signal source emitting a first wave group and a second wave group in response to the first detection circuit detecting the first wave group of the first mode from the echo signal at a first time and the second detection circuit detecting the second wave group of the second mode from the echo signal at a second time, the first time and the second time are spaced by a first time period. According to the detection chip, time dimension information is introduced in echo signal detection, reliable positioning of an information source is facilitated, and simultaneous emission of wave groups in multiple modes is facilitated, so that the positioning efficiency is improved.

The application discloses a simulation processing method and device of a radar signal and electronic equipment. The method comprises the following steps: obtaining a radar echo signal generated by field programmable gate array in signal transceiving characteristic simulation of a radar signal; performing signal pulse compression processing on the radar echo signal to obtain a pulse modulation signal; performing multi-pulse cancellation and moving target detection processing on the pulse modulation signal to obtain a pulse matrix; performing constant false alarm rate detection on the pulse matrix in a thread synchronization mode to obtain an echo detection result; in the case that the echo detection result indicates that a radar detection target is detected, acquiring distance, speed and angle data of the radar detection target; and sending the distance, speed and angle data of the radar detection target to a central processor, so that the central processor determines track information of the radar detection target according to the distance, speed and angle data. The scheme provided in the application embodiment can improve the real-time performance of radar seeker simulation.

The invention discloses a radar waveform design method based on extended target scattering characteristics, and relates to the technical field of radar target detection. Through the steps of receiving echoes, detecting a scattering center and directionally designing a waveform, non-iterative modes such as matched filtering and peak searching are firstly utilized; time delay inequality and scattering intensity of each scattering center of an extended target are accurately extracted from actually measured echoes, frequency domain prior information does not need to be preset, and then transmitted waveforms are designed based on the actually measured parameters, so that energy is actively focused on a main scattering area of the target; according to the method, dependence on complex prior information is avoided, an iterative calculation link is also avoided, the waveform is highly matched with the discrete scattering structure of the extended target, and the energy utilization rate and the effective information proportion of the target in the echo signal are greatly improved while the real-time performance is guaranteed.

The invention discloses a self-echo cancellation method and system for a hearing aid, and the method comprises the following steps: transmitting a section of echo simulation audio through an echo detection module, converting all received audio signals into sound wave signals through a playing module, playing the sound wave signals, receiving the echo simulation audio through a receiving module, and transmitting the sound wave signals to a processing module. According to the method, the echo calculation module is used for calculating the fluctuation ratio of the received echo audio and the echo simulation audio, and the echo elimination module is used for recording the audio subjected to noise reduction processing. A group of analog signals identical to the audio signals are made according to the record, the ratio of the analog signals to the original audio is set according to the fluctuation ratio of the echo audio and the echo analog audio, then the analog signals are compared with the audio signals received by the rear end, and then the echo signals in the audio signals are eliminated. According to the method, the echo generated by the hearing aid can be accurately eliminated.

This invention relates to the field of laser detection and navigation positioning technology, and discloses a real-time noise reduction and in-situ calibration system and method for laser ranging sensors. The system includes an acquisition module, an extraction unit, a mapping unit, a control unit, and a compensation unit. The system extracts the zero-position calibration pulse generated by reflection within the optical window, calculates the waveform asymmetry parameter to construct a timing compensation operator for the receiving link, and the control unit adjusts the measurement echo detection threshold according to the pulse energy distribution parameter. The compensation unit uses the operator to correct the target echo phase centroid and uses the real-time phase center of the pulse as the timing start anchor point. This invention converts the ranging reference from static setting to dynamic physical reconstruction, and synchronously eliminates clock temperature drift and circuit delay deviation caused by ambient temperature rise during the ranging cycle, thereby eliminating the cumulative error caused by spatiotemporal reference drift in long-distance navigation.

This invention relates to the field of liquid level measurement technology, specifically providing an offline echo detection method for an ultrasonic liquid level measuring and control instrument. The method involves acquiring raw sampling data by continuously transmitting multiple ultrasonic pulses, calculating the historical maximum background noise value, and introducing a preset empirical threshold to generate a comprehensive background noise value. Based on temperature, the current sound velocity is calculated, and the echo search interval is dynamically adjusted. The comprehensive background noise value is used to extract the echo array, and a dual-echo comparison is performed to screen and determine valid echo points. An extreme value removal and averaging filter is applied to the instantaneous height value, and the maximum deviation of the remaining filtered data is compared with a preset dead zone distance. The comparison status is fed back to the noise calibration step to lock or update the comprehensive background noise value. This invention achieves synergistic effects through closed-loop feedback, improving the adaptive recovery capability and measurement accuracy in complex offline environments.

The application discloses a target echo detection method and system based on multi-domain reconstruction residual, equipment and medium, and the method comprises the steps of collecting sea clutter images and classifying, designing and training a double auto-encoder, training a multi-domain encoder based on the double auto-encoder on a sea clutter image dataset subjected to Fourier transform, ridge wave transform and contour wave transform, calculating the reconstruction residual of the sea clutter image in the multi-domain through the multi-domain encoder, obtaining an optimal expression during target echo detection through SVM supervised learning, and completing target detection based on the reconstruction residual and the optimal expression; the system, equipment and medium are used for realizing a target echo detection method based on multi-domain reconstruction residual; the application learns the current sea clutter structural features through the constructed double auto-encoder, and learns the feature difference between the target and the sea clutter through SVM supervised learning, and has the characteristics of high measurement accuracy and strong applicability.

The present application relates to a kind of impulse echo positioning cable detector, it includes: integral circuit array, each integral circuit unit of integral circuit array includes an integral capacitor;Switch array is used to select the single integral circuit unit in integral circuit array;Test control module is used to divide echo detection period into multiple time slices, and each time slice is associated with a specific integral circuit unit, then each integral circuit unit is selected in turn according to time sequence, and the echo signal of the same time slice of multiple rounds of echo detection period is introduced into the same integral circuit unit to accumulate;Sampling module is used to read out the signal value cached by each integral circuit unit, and the time sequence waveform of echo signal is recovered;And data processing module is used to determine the arrival time of echo pulse.The present application also provides a corresponding weak pulse signal detection method.The present application can detect extremely weak echo signal, so that transmission impedance uneven point can be detected in super long distance.

The application discloses a kind of multistatic active sonar detection methods, it is related to active sonar detection field, the multistatic active sonar detection method of the present application includes: step 1: transmitter S launches sound source information;Step 2: receiver R receives direct wave and target echo;Step 3: judge target T is located on the circumscribed ellipse with transmitter S and receiver R as focus;Compared with prior art, the beneficial effects of the present application are: the present application uses communication-detection composite waveform, the waveform parameters, sound source position and transmission time are encoded and modulated after being embedded in the detection waveform, and then sent out, the receiver obtains these information by demodulation decoding, restores the original transmission waveform for echo detection at the same time, and uses sound source space-time information to carry out target positioning calculation;It does not depend on external communication link to carry out sound source space-time information synchronization, so it has wide adaptability, and can fully utilize the sound pulses emitted by different horizontal sound sources in formation to carry out echo target detection.

The invention belongs to the technical field of ultrasonic signal processing, and particularly relates to a double-task deep learning model and an ultrasonic echo signal recognition and positioning method and system.The ultrasonic echo signal recognition and positioning method comprises the steps that a one-dimensional time sequence signal is obtained and input into the trained double-task deep learning model, and the one-dimensional time sequence signal is obtained; and obtaining an echo detection result and a position prediction result. According to the method, an innovative double-task deep learning model architecture is constructed, two tasks of'classification of existence of echoes' and'positioning of echo positions' are coupled in a unified end-to-end model for joint optimization, and a shared feature extraction trunk enables the model to learn powerful feature representation which is universal for the two tasks; the correlation information between the tasks is utilized, mutual promotion is achieved, the performance is cooperatively improved, the efficiency is improved, and therefore the higher comprehensive performance is obtained compared with the mode that two tasks are independently processed.

The invention relates to the technical field of underwater acoustic signal processing, in particular to an underwater target echo detection method under a strong reverberation background, which comprises the following steps of: carrying out band-pass filtering processing on a received sonar echo signal to obtain a filtering signal; performing sliding window segmentation processing on the filtering signal to form a plurality of short-time signal segments; extracting an envelope of the short-time signal segment, and carrying out normalization processing on the envelope; performing differential processing on the normalized envelope to obtain a differential envelope signal; performing frequency spectrum transformation and frequency weighting processing on the differential envelope signal to obtain a weighted envelope spectrum; performing feature extraction on the weighted envelope spectrum, calculating a spectrum entropy and a spectrum variance, and constructing a spectrum variance entropy ratio; and judging whether target echoes exist or not. According to the method, the false alarm rate can be reduced, meanwhile, the high detection probability is kept, and the defect that the performance of an existing matched filtering method is seriously reduced under the strong reverberation condition is overcome.

The embodiment of the invention discloses an actuation state detection method for a power system execution mechanism, and the method comprises the steps: building a motion equation of the power system execution mechanism in a high-temperature and high-speed fluid environment, and building a reflection echo model in combination with a built high-frequency signal propagation loss estimation model in a free space and a metal pipeline; transmitting a high-frequency signal and receiving multiple beams of actual reflection echo signals; determining the center frequency of each beam of actual reflection echo signal through a frequency determination function of an established joint precision distance measurement algorithm; based on the center frequency, calculating through a reflection echo model to obtain a theoretical reflection echo signal; a true reflection echo signal is determined through an established true and false echo detection and separation algorithm; the distance between the detection system and the execution mechanism is determined based on the real reflection echo signal through the distance measurement function of a combined precise distance measurement algorithm; and determining the dynamic characteristics of the actuating mechanism through the motion equation, and determining the actuating state of the actuating mechanism based on the distance and the dynamic characteristics.