10 results about "Echo detection" patented technology

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 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.

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.

This invention discloses a method and system for reconstructing distorted logging curves in inter- and sub-salt formations based on intelligent algorithms, relating to the field of oil and gas logging data processing technology. The method includes: constructing a training dataset containing multi-scale physical disturbances; employing a phased training approach to form a hybrid reconstruction model; collecting echo detection signals from the target well section and performing hierarchical cascade analysis based on the hybrid reconstruction model to determine the reconstruction results; and displaying the reconstruction results on a terminal interface. This invention solves the technical problems of existing technologies, such as difficulty in fully covering complex salt rock interference scenarios in inter- and sub-salt formation logging curve reconstruction, insufficient accuracy of reconstruction results, and poor adaptability to geological patterns. It achieves accurate reconstruction and visualization of distorted logging curves in inter- and sub-salt formations affected by salt rock interference, improving the accuracy and geological adaptability of curve reconstruction.

This invention discloses a multi-echo detection method for a multi-beam echo sounding system with combined amplitude and phase features. The pre-detection step includes: segmenting the beam output signal; for each unit to be detected, obtaining an amplitude detection threshold using the unit average constant false alarm rate (CFAR) method based on background noise estimation from the reference units on the left and right sides; extracting the instantaneous phase from the signals of each receiving channel using Hilbert transform, and obtaining the phase coherence factor between each receiving channel from statistical characteristics; dynamically adjusting the amplitude detection threshold as an adaptive weight to construct a detection threshold for combined amplitude and phase features; initializing weighting coefficients based on echo intensity differences, and dynamically optimizing them in conjunction with the intensity value of the phase coherence factor to obtain an adaptive weighted amplitude and phase joint detection threshold; merging sampling points exceeding the adaptive weighted amplitude and phase joint detection threshold, removing interfering targets, and identifying and extracting multiple independent effective target intervals.

This invention relates to a method for inverting the initial ground distance of a target based on anomaly echoes from its exhaust plume, belonging to the field of high-speed maneuvering target detection technology. This invention addresses the challenges of detecting, locating, and accurately inverting the initial distance of high-speed targets under complex backgrounds. The steps of this invention include: S1: ionospheric model simplification; S2: extraction of Bragg peak offset; S3: Doppler spectral feature extraction; S4: establishment of joint anomaly indices; S5: adaptive threshold detection and centroid localization; S6: nonlinear deviation fitting to obtain the true ground distance value. This invention establishes a complete closed-loop link from anomaly echo detection to quantitative estimation of the target's initial ground distance. By combining physical modeling and data-driven approaches, it effectively eliminates systematic biases in distance inversion, providing high-precision prior distance information for trajectory analysis and state identification of high-speed maneuvering targets.

The application provides a sky wave radar island echo detection method, which removes radio frequency interference and noise in a range-Doppler power spectrum, detects Doppler frequency shift of a pair of Bragg peaks of first-order sea clutter in a sea surface echo range-Doppler power spectrum, extracts a column of data located in the middle of the Doppler frequency shift of the Bragg peaks in the sea surface echo range-Doppler power spectrum as island echo data of the detection frequency, and obtains swept island echo data after processing data of all detection frequencies. The method has good real-time performance, can effectively obtain swept island echo data, and the data can be used as input data for island positioning, thereby being applied to engineering practice.

The application provides a marine target detection method and system, electronic equipment and a storage medium. The method comprises the following steps: acquiring radar echo detection data; extracting feature points of the radar echo detection data to form a feature vector; matching the feature vector with a decision region in a feature space to detect whether a target exists in the radar echo detection data, and the decision region in the feature space is constructed based on a feature combination strategy generated according to sample features. Since the decision region is constructed according to the feature combination strategy, the matching of the feature points in the feature sequence with the decision region in the feature space can improve the overall separability of the to-be-detected radar echo data in the feature space, thereby improving the marine small target detection performance.

The application provides a laser radar point cloud algorithm for filtering out particles in a special environment, comprising: sampling laser echo signals through two high-speed comparators in a front-end hardware circuit, obtaining two echo sampling results, and inputting the two echo sampling results into a field programmable logic gate array (FPGA); performing a multiple echo detection algorithm in the FPGA; identifying and marking noise echoes caused by air particles according to the two echo sampling results; completing preliminary processing to obtain point cloud data after preliminary processing; dynamically adjusting a radius value in a radius filtering algorithm based on the cosine theorem according to a measurement distance of the laser radar; and performing the radius filtering algorithm on the point cloud data after preliminary processing; identifying and filtering out discrete point noise based on a set radius value and a near neighbor point quantity threshold, so that filtering out of interference particles in the special environment is realized.