663 results about "Linear array" patented technology

The invention relates to the technical field of size detection, in particular to a component size detection system based on machine vision, which comprises an interference area identification module, an edge repair module, a structure clustering module, a distortion analysis module and an attitude restoration module. According to the method, the gray level change trend of each pixel and the adjacent points in the image is obtained, the high-reflection suspected interference area is identified, the edge response cancellation processing is executed, and linear interpolation compensation is carried out by combining the effective edge response values of the adjacent areas; after a continuous contour trend is constructed, clustering and sub-grouping division are carried out according to an included angle difference trend between contour geometric vectors, a three-axis direction response linear array variation amplitude is extracted to construct a distortion curvature mapping table, existence of non-equal-interval deformation is judged, reverse angle compensation is applied, and a three-axis intersection point convergence process is completed through a nonlinear optimization algorithm; and according to the three-dimensional coordinates, calculating a geometric dimension and outputting a detection result, thereby realizing self-adaptive detection of different postures and surface interference component dimensions.

The invention discloses an overlay error real-time correction system based on image recognition and dynamic fitting, and belongs to the field of semiconductor advanced packaging and manufacturing. The system comprises an image acquisition module, an error decoupling module and a dynamic compensation module to form closed-loop control. The image acquisition module adopts a high-resolution linear array CCD (Charge Coupled Device) and an AI (Artificial Intelligence) algorithm to realize high-speed and high-precision mark identification and error quantization; the error decoupling module performs decoupling and trend prediction on system errors and random errors by using PCA, a region weight matrix, LSTM and the like; and the dynamic compensation module realizes mu s-level partition graph compensation by a DMD optical system based on an error thermodynamic diagram through heterogeneous platform operation. The system supports the real-time processing of more than 100Hz, the average overlay error is less than or equal to 0.3 mu m and the response time is less than 5 seconds in the FOPLP and other processes, the problems of lag, low precision and the like of the traditional method are effectively solved, and the manufacturing yield and the production line efficiency are remarkably improved.

The invention discloses a vector flow velocity measuring device and method based on a bidirectional scanning spectral domain optical coherence tomography technology. Comprising a super light-emitting diode light source, an optical fiber coupler, a polarization controller, an interferometer comprising a sample arm and a reference arm, and a collimating lens, the collimating lens, the grating, the focusing lens group and the linear array camera are sequentially connected through a light path; the linear array camera, the computer and the two-dimensional galvanometer are sequentially connected through a line; according to the method, the fixed bias vector velocity is introduced by utilizing the bidirectional scanning technology, the dynamic light scattering optical coherence tomography method and the Doppler optical coherence tomography method are combined, decoupling of each parameter of the vector flow velocity is efficiently and accurately realized, and a quantitative index is provided for vector flow velocity analysis. The vector flow velocity measuring device based on the bidirectional scanning spectral domain optical coherence tomography technology is simple in system setting and low in cost, the time resolution is improved by about 2.5 times, and the measuring time is shorter.

The invention relates to the field of underwater sound signal processing, in particular to an underwater DOA (direction of arrival) estimation method based on graph nerves and a convolutional neural network, which comprises the following steps: 1, establishing a linear array, and enabling narrow-band signals to simultaneously reach an underwater sound array; 2, performing signal preprocessing to obtain a signal covariance matrix, and performing normalization processing; 3, extracting correlation between array elements and spatial features of array signals, and performing data supplementation on sparse linear array information; 4, forming a double-branch structure, enhancing the information aggregation capability, and extracting features from a space path and a time domain path; and 5, constructing an adjacent matrix, filling node features of damaged array elements, adopting a double-branch structure, extracting spatial features and time domain features, carrying out feature integration, and outputting a DOA estimation result. The spatial correlation between array elements is extracted and the array sparsity problem is processed by using the graph neural network, and the time domain features of the signals are extracted in combination with the convolutional neural network, so that more accurate and more robust DOA estimation can be realized under the conditions of low signal-to-noise ratio and array sparsity.

The invention specifically discloses a satellite navigation interference source positioning method based on a distributed unmanned aerial vehicle, and relates to the technical field of satellite navigation interference resistance. According to the method, firstly, an unmanned aerial vehicle cluster carrying uniform linear array antennas is deployed in a target area, and after parameters of a system are initialized, all unmanned aerial vehicles synchronously collect interference signals and estimate the direction of arrival (DOA) of an interference source; then performing dual-domain interference suppression based on DOA information, calculating an interference source coordinate in combination with an unmanned aerial vehicle coordinate, and performing noise reduction; planning a path by using a path planning model of a multi-modal Markov decision process and a reinforcement learning algorithm to realize tracking of a dynamic interference source; and finally, judging and outputting a final coordinate through Euclidean distance convergence. The method solves the problems of limited coverage of a traditional fixed monitoring station and insufficient positioning precision of a single unmanned aerial vehicle, can efficiently position dynamic and multiple interference sources, improves the positioning precision and the anti-interference capability, reduces the deployment cost, and is suitable for satellite navigation interference source positioning in a complex environment.

The invention discloses a railway freight car loading state detection method based on image recognition, and particularly relates to the field of railway freight car loading state detection.The method comprises the steps that in the process that a railway freight car passes through an image collection area, carriage image frames are collected at a constant frame rate through linear array imaging equipment; an image sequence is constructed based on the wheel axle displacement, the acquisition timestamp and the frame number, the image sequence comprises a main image frame, a relay interpolation frame and an interpolation pseudo frame, and the main image frame, the relay interpolation frame and the interpolation pseudo frame are arranged to support time domain modeling of subsequent state response changes. The dynamic capture and accurate identification of the instantaneous abnormal state of the loading structure are realized by constructing an anchor point tracking graph and combining a time sequence rhythm modeling and similarity discrimination mechanism of a disturbance behavior. The problems that in the prior art, an identification system lacks the space-time continuous modeling capacity for the short-time change state, and an abnormal judgment blind area and misjudgment distortion exist are solved.

The invention discloses a multi-mode control method for voice interaction and gesture recognition of an atmosphere lamp, and belongs to the field of intelligent control. The method comprises the following steps: S1, constructing a multi-mode sensing module, and arranging a bidirectional linear array microphone, a dual-lens infrared depth camera and a space calibration laser transmitter; s2, extracting voice features by adopting an extended spectrogram domain attention network, and generating a first semantic vector; s3, dynamic attitude features are extracted through the time-airspace sparse convolutional network; s4, performing modal alignment and cooperative coding on the two semantic vectors based on a bidirectional gating fusion mechanism, generating a joint interaction instruction vector, and solving modal conflicts by a time sequence synchronization and confidence regulation strategy; s5, inputting the vector into a multi-task intention classifier, analyzing a user intention and outputting a unique atmosphere lamp control code; and S6, transmitting the control code to a driving unit to realize light control. The beneficial effects are that voice and gesture fusion control is realized, and atmosphere lamp interaction intelligence and response precision are improved.

The invention relates to the technical field of industrial visual inspection, and discloses an asynchronous exposure double-view-field imaging system and method, and the system can achieve the merging of independent view field images collected by two parallel lenses into a single linear array camera through a reflector and a non-polarization beam splitting cube based on the asynchronous exposure double-view-field imaging system. Meanwhile, in cooperation with precise time sequence control, the system drives two independent stroboscopic light sources to be synchronous with line trigger signals of the camera, different view fields are alternately illuminated in odd-even line periods, the camera is made to perform asynchronous exposure, and two paths of image information are collected in a time-sharing mode; and finally, reconstructing two complete, independent and seamlessly spliced detection images from the interleaved data streams through an odd-even line separation algorithm. According to the invention, with the hardware cost of a single camera, the detection visual field is obviously expanded, the detection efficiency and the image geometric precision under the high-line scanning frequency are ensured, and the excellent balance of the performance, the cost and the efficiency is realized.

The invention discloses a roll-to-roll laser cutting equipment online alignment and trajectory interpolation control method, which relates to the technical field of laser cutting alignment and trajectory interpolation, and comprises the following steps: marking a reference point for an adhesive film; monitoring a datum point on the surface of the adhesive film through a linear array camera and recording datum data; analyzing the deformation data and the displacement data through the reference data; performing compensation alignment on the cutting head based on the deformation data and the displacement data to obtain a compensation cutting point, and controlling the cutting head to start cutting from the compensation cutting point; a cutting shape is obtained, the interpolation track of the cutting head is analyzed through an interpolation algorithm, and the cutting head is controlled to cut the adhesive film according to the interpolation track; the method is used for solving the problems that according to an existing laser cutting alignment and track interpolation technology, alignment cannot be conducted on a product in advance, compensation for deformation of the product is lacked, the laser cutting efficiency is low, and the size error of the cut product is large.

One or more implementations of the present disclosure relate to a wireless, multi-sensor food thermometer that includes a temperature probe having a linear array of temperature sensors that are operative to measure: temperature profiles within a food product during a cooking process, a temperature at a core of the food product, a temperature at the surface of the food product, and a temperature of the ambient cooking environment in which the food is being cooked. The temperature probe includes a wireless interface that transmits temperature information to one or more external devices for use thereby. Rather than transmitting raw temperature data, the temperature probe may transmit coefficients that correspond to a function that describes the temperature profile within the food or parameters necessary to solve a governing heat equation, which reduces data transmission requirements and reduces power consumption. The food thermometer may include a charger case that houses the temperature probe and charges a power source of the temperature probe using a replaceable battery.

The invention relates to the technical field of artificial intelligence and electronic manufacturing detection, and discloses an ultra-thin printed circuit board defect detection method and system based on AI vision. The objective of the invention is to solve the technical problems of poor imaging quality, high missed detection and false detection rate, weak generalization ability and difficulty in consideration of efficiency and precision caused by buckling deformation, surface reflection and tiny and diverse defects of an ultrathin printed circuit board in the existing detection technology. The method comprises the following steps: performing multi-angle image acquisition through a composite illumination module and a high-resolution linear array camera; geometric correction is carried out on the image by using an SIFT algorithm and affine transformation, and the image contrast is enhanced by using a CLAHE algorithm; generating a defect candidate region through the lightweight full convolutional network; and carrying out accurate classification and identification on the candidate region by using a deep residual network. According to the technical scheme, high-precision, high-efficiency and low-false-alarm detection of the tiny defects of the ultrathin printed circuit board can be achieved, and the automation level and adaptability of detection are remarkably improved.

The invention provides a DOA (direction of arrival) estimation method and device of a random linear array. The DOA estimation method comprises the following steps: establishing an observation model representing a relationship between direct output of a sensor unit and a source signal, and carrying out compressed sampling on the direct output of each unit of the linear array by applying a random demodulator; constructing a linear observation relationship between the sampling signal of the random demodulator and a decomposition coefficient matrix of the source signal matrix on a certain sparse base, obtaining an estimated value of the decomposition coefficient matrix by using a sparse sampling reconstruction method, and further reconstructing to obtain an estimated value of an original source signal matrix; and calculating the DOA spectrum and estimating the DOA angle of the target or source according to the peak value of the spectrum. According to the invention, the technical problems of low estimation precision and low resolution caused by large design difficulty of a sensor array, heavy data acquisition burden and single analysis signal are solved.

The invention discloses glass defect layering detection equipment based on multiple imaging planes, and belongs to the technical field of glass defect detection.The glass defect layering detection equipment based on the multiple imaging planes comprises a conveying module, a scanning module and a fusion analysis module, and the scanning module is provided with a front linear array camera, a side surface area-array camera and a side edge area-array camera; layered acquisition is carried out on glass images, and the fusion analysis module can detect glass defects in the images and carry out fusion analysis on detection results of different imaging surfaces. Through the combined design of the front linear array camera, the side area-array camera and the side area-array camera with the fusion analysis method, glass images can be collected from multiple angles, fusion analysis is carried out on the collected images, the reliability of overall detection of glass defects can be improved, the false alarm rate can be reduced, repeated statistics can be avoided, and the detection efficiency is improved. And the detection result is more accurate.

The invention belongs to the technical field of fluorescence spectrum collection, and particularly relates to a quasi-three-dimensional fluorescence spectrum collection method and spectrograph based on a software phase locking technology, and the method comprises the following steps: respectively modulating coprime modulation frequencies of a plurality of laser light sources with different wavelengths, and synchronously exciting the laser light sources to the surface of a sample; a fluorescence signal generated on the surface of the sample is received and processed by a linear array CCD detector to obtain a multi-wavelength spectral signal simultaneously containing background light, scattered light and fluorescence components; inputting the multi-wavelength spectral signal into a software phase-locked amplification system, introducing a Costas ring to the software phase-locked amplification system for real-time tracking and correction, and generating a synchronous reference signal consistent with the laser modulation frequency; inputting the synchronous reference signal into a software lock-in amplifier, and extracting a plurality of pure fluorescence spectrum components excited by specific-frequency laser; and synthesizing the plurality of pure fluorescence spectrum components to finally form a quasi-three-dimensional fluorescence spectrum.

The invention relates to the field of concrete beam damage detection, in particular to an ultrasonic imaging method for concrete beam damage detection, which comprises the following steps: arranging a linear array comprising a plurality of ultrasonic probes on a single-side contactable surface of a to-be-detected concrete beam; preparing a multi-channel ultrasonic transmitting and receiving instrument, and connecting the multi-channel ultrasonic transmitting and receiving instrument with the sensor array and the control computer; a multi-channel ultrasonic device is used to work in a full-matrix capture mode, in the full-matrix capture mode, each probe is sequentially excited to emit ultrasonic pulses, and time domain signals received by all the probes of the array are synchronously recorded to obtain an original full-matrix data set. According to the method, strong scattering noise generated by the concrete aggregate can be inhibited through the deep convolutional neural network so as to improve the signal-to-noise ratio of the image, the sound velocity field conforming to the non-uniform characteristic of the concrete can be constructed through local sound velocity inversion and iteration based on the strong reflection points, the problems of imaging artifacts and form distortion are avoided, and the accuracy of the imaging process is improved. And the concrete damage detection precision is ensured.

The application discloses a kind of based on ultra-wideband radar's on the scraper conveyor up and down slide monitoring device and method, belong to coal mine safety state monitoring technical field.The monitoring device includes the electric rotating platform installed on the head of scraper conveyor, linear array antenna pointing to the end face end coal wall is installed on the electric rotating platform, linear array antenna connects ultra-wideband imaging radar signal module;Industrial computer sends instruction to control the receiving and sending of ultra-wideband imaging radar signal module, the rotating movement of electric rotating platform respectively;Linear array antenna installed on the head of scraper conveyor is driven by electric rotating platform, periodically collects the radar image of end face end, then by registration with the image periodically collected before, to deduce the distance that the head of scraper conveyor up and down slide;It has strong robustness to the harsh environmental conditions of end face end coal dust water vapor, and monitoring data is accurate.

Embodiments herein disclose an antenna system comprising a plurality of panel comprising at least one Multiple Input Multiple Output (MIMO) antenna array, including a plurality of microstrip patch antenna elements and stacked patch antenna elements. The microstrip patch antenna elements, configured in a linear array, facilitate a lower operating frequency, while the stacked patch antenna elements, placed atop the microstrip patch antenna elements, achieve a higher operating frequency. The stacked patch antenna elements are connected in series and oriented at a predefined angle of 90° relative to the microstrip patch antenna elements. A panel from the plurality of panels is arranged at a pre-defined angle of 90° relative to an adjacent panel from the plurality of panels for polarization diversity to obtain the multifunctional shared aperture 8N-port MIMO antenna system.

The utility model relates to the technical field of cable processing, and discloses a cable conductor processing and straightening device. According to the processing and straightening device for the cable conductor, through the arrangement of the microcontroller, the visual detection unit, the multi-section mechanism and the multi-direction mechanism, when the cable conductor is processed and straightened, the cable conductor penetrates through the positioning roller device and sequentially penetrates through the vertical roller device and the horizontal roller device to correct vertical and horizontal bends of the cable; the visual detection unit collects surface curvature data of a conductor through a linear array CCD camera and sends a signal to the microcontroller, the microcontroller calculates the swing angle of the straightening head and then controls the servo motor A to drive the straightening head to rotate at a micro angle, a spiral guide groove in the inner side of the straightening head guides a cable to rotate, axial and radial composite bending is eliminated, and the surface curvature of the conductor is corrected. Therefore, the three-dimensional straightening is realized through the synergistic straightening of multiple modes, meanwhile, the straightening precision and efficiency of the conductor are also improved, and the problem of low efficiency caused by the fact that the cable needs to be straightened for multiple times is avoided.

A motor train unit bottom inspection robot is used for motor train unit bottom detection. The robot comprises a robot main body part, two groups of vertical tower type lifting mechanisms, two groups of automatic detection mechanical arms, two groups of depth cameras, two groups of high-precision positioning cameras, two groups of monitoring cameras, a linear array imaging device, two groups of position laser devices, two groups of obstacle avoidance devices, two groups of communication devices and two groups of track long-stroke equipment positioning devices. The two sets of track long-stroke equipment positioning devices are arranged on the two sides of the robot body part correspondingly and are in transmission connection with the corresponding steel rails on the two sides of the track correspondingly. According to the utility model, double positioning devices are designed on the two sides of the inspection robot, so that the inspection robot can realize more accurate detection and positioning, thereby avoiding the problem that the inspection robot affects the detection result due to inaccurate positioning; the utility model has the advantages of strong practicability and strong popularization significance.

The invention belongs to the technical field of microwave antennas, and particularly provides a tight coupling phased array with a tail end unit loaded with asymmetric dipoles. The main structure of the antenna comprises a radiation structure (I) which is composed of frequency selection surfaces which are arranged above folded dipoles and are periodically arranged, dipoles which are symmetrically arranged in a central unit and dipoles which are asymmetrically arranged in an edge unit; and the feed structure II is composed of a gradient microstrip feeder line, a metal floor and a coaxial line. According to the invention, a frequency selective surface is loaded above a folded dipole, a traditional tight coupling phased array is replaced, a heavy dielectric layer is loaded above the dipole, and a 1 * 8 one-dimensional linear array is designed. Besides, by prolonging the length of the folded dipole on the tail end array element, compared with a traditional structure, extra capacitance is introduced under the condition that the height of the array section is not changed, and the problem that the array is difficult to match at low frequency is effectively relieved.

The invention relates to a photonic radar system (100) and a method for operating a photonic radar system (100). The invention further relates to a central unit (10) and a method for operating the central unit (10). The invention relates to reducing the computational effort required for Doppler processing in sparsely distributed antenna apertures by incorporating uniform linear array (ULA) structures (70).

Embodiments of the present application relate to a method and system for three-dimensional modeling of a train based on a binocular disparity prediction model, the method comprising: setting installation, acquisition and splicing rules of double parallel linear array cameras; setting a binocular disparity prediction model; acquiring first data set based on the installation, acquisition and splicing rules; training the binocular disparity prediction model based on the first data set; installing the double parallel linear array cameras after the training; when a train passes through the two installed cameras on the current train track, acquiring and splicing images to obtain images I1 and I2, inputting the images I1 and I2 into the binocular disparity prediction model for prediction to obtain a disparity map D 1‑2 , and based on I1, I2 and D 1‑2 , the present application can improve prediction accuracy in high-speed scenes and complex lighting environments, effectively overcome the limitations of a single perspective, and improve the integrity of three-dimensional reconstruction of edge and occluded areas.

The application relates to the technical field of photoelectric attitude sensors, and discloses a linear array infrared earth sensor, which comprises a control unit, a shell and a power supply unit arranged in the shell. Four earth boundary infrared radiation detection units for receiving infrared radiation from different parts of the earth are arranged on the shell. A front-end light signal conversion electric signal amplification unit for converting light signals detected by the earth boundary infrared radiation detection units into electric signals and a rear-end electric signal information processing unit for performing attitude and solving on the electric signals are further arranged in the shell. The sensor has high generality and wide detection range.

The application discloses a near-field strong interference suppression method based on spherical wave deconvolution beam forming positioning, which comprises the following steps: performing fine grid division on a near-field scanning area of a linear array; performing spherical wave focusing beam forming on the near-field scanning area and two-dimensional deconvolution beam forming about distance-angle under the condition of unknown sound source position; calculating the distribution entropy characteristics of the deconvolution beam forming result in the angle dimension, and using a preset threshold to correlate the interference positioning of a target; constructing an array flow pattern matrix A of each near-field target l and generating a covariance matrix A; calculating the orthogonal complement space projection matrix of the covariance matrix A, and applying the orthogonal complement space projection matrix to the array element domain covariance matrix C to perform near-field interference suppression; using a far-field plane wave model to perform deconvolution beam forming calculation on the covariance matrix for suppressing near-field interference, so as to obtain passive detection results of the near-field strong interference suppression. The application can realize near-field interference positioning and interference suppression under the condition that the interference position is unknown.

The utility model discloses an alternating current electromagnetic field array detection probe based on a time division multiplexing technology, and belongs to the field of nondestructive testing. The array detection probe comprises a shell, a magnetic core fixedly mounted in the shell, an exciting coil spirally wound on the magnetic core, a sensor array module fixedly mounted in the shell and located at the lower part of the magnetic core, and a multiplexing module fixedly mounted in the shell and electrically connected with the exciting coil and the sensor array module, a detection port is formed in the shell, the magnetic cores are arranged in a U shape, the opening ends of the magnetic cores face the detection port of the shell, the multiple magnetic cores are arranged in the shell and are distributed in a linear array mode in the shell, and the axial direction of the sensor array module is parallel to the axial direction of the array distribution track of the multiple magnetic cores. According to the array detection probe, a magnetic field change signal is captured by the sensor array module and is converted into a clear and stable electric signal to be output, so that a more accurate data basis is provided for subsequent defect analysis.

The invention relates to the field and discloses an online visual detection method for surface defects of door and window profiles. Comprising the following steps: acquiring model information of a door and window profile to be detected and calling a corresponding section template; in the continuous conveying process of the sectional materials, a plurality of line-scan digital cameras are used for collecting multi-view surface images at the same longitudinal position under alternate illumination of line light sources in different incident directions; real-time outer contour boundary and notch edge positions are extracted, and attitude correction parameters are obtained after registration with the section template; directly mapping the multi-view surface image into a strip expansion graph of a corresponding surface area according to the section anchor point line and the surface boundary line; and performing pseudo defect elimination based on a coordinate corresponding relation of the candidate abnormal areas under different illumination and an abnormal response direction, and performing continuity verification in combination with a longitudinal position coordinate so as to determine a real surface defect and output a defect level and a physical position.

The invention relates to the technical field of underwater sound detection, in particular to a broadband sound source depth estimation method matched with a deep sea sound velocity profile, and the method comprises the steps: obtaining a frequency-vertical arrival angle spectrum for an underwater broadband sound source in a mode of carrying out broadband beam forming processing on a receiving sound field of a vertical linear array; analyzing the characteristics of the interference period of the frequency-vertical arrival angle spectrum by using a layered medium model, and establishing a corresponding relation between the interference period and the sound source depth; based on the corresponding relation between the interference period and the sound source depth, mapping the frequency-vertical arrival angle spectrum to a glancing angle-depth domain to form an ambiguity plane of the sound source depth; and based on the ambiguity plane, depth estimation of the underwater broadband sound source is realized. According to the method, accurate and rapid depth estimation of the underwater broadband sound source can still be realized at a long distance, and meanwhile, the method has good environmental adaptability.

The utility model discloses a high-adaptability large-size three-dimensional plate linear array scanning device. The high-adaptability large-size three-dimensional plate linear array scanning device comprises a Y-axis linear synchronization module and a rack assembly, the Y-axis linear synchronization module comprises a linear array camera, a camera position adjusting mechanism, a light source clamp and a light source; the machine frame assembly comprises an upper machine frame, a lower machine frame, a plate conveying device, a motor and a sliding base. The line-scan digital camera is installed on the camera adjusting mechanism through the camera connecting piece. The light source clamp is connected with the camera position adjusting mechanism through a fastener; the light source is arranged on the light source clamp; the sliding seats are arranged on the two sides, parallel to the Y axis, above the upper rack. The camera position adjusting mechanism is connected with the sliding seat through a lead screw connecting piece; the sliding base is driven by the motor to drive the camera position adjusting mechanism to move in the Y-axis direction. By freely adjusting the object distance of the line-scan digital camera and adjusting the irradiation angle and height of the light source, the surface reflection characteristic image acquisition device adapts to surface reflection characteristic image acquisition of different plates, and the detection accuracy and the detection efficiency are improved.

The application provides a FDA-MIMO radar gridless target parameter estimation method based on a single base plane array, relates to the technical field of array signal processing, constructs a single base plane array FDA-MIMO radar system, and the transmitting end and the receiving end of the radar system are composed of a uniform plane array; a receiving signal model is established based on the radar system, the model is vectorized, a selection matrix is introduced to construct an angle-distance decoupling receiving signal model; the covariance matrix of the receiving signal model is calculated; a low-rank matrix reconstruction optimization problem suitable for the model is established according to the covariance matching criterion; the optimization problem is solved by the idea of alternating projection by using the properties of the covariance matrix; the information of the angle theta and the distance r is estimated by the multiple signal classification method according to the covariance matrix; the problems that the FDA-MIMO radar angle-distance decoupling model in the prior art is only suitable for a linear array, and the target parameter estimation method has low estimation accuracy and high calculation complexity can be solved.

A touch sensing device is provided, comprising a top plate associated with multiple light sources and a base plate having one or more associated detectors for detecting light propagated within the base plate, wherein light from the multiple light sources propagates within the top plate by total internal reflection. The top plate and base plate are configured such that when an external object touches the first surface of the top plate, light is coupled from the second surface of the top plate to the base plate via the first surface of the base plate. The multiple light sources are arranged in linearly extending recesses within the second surface of the top plate, and light from the multiple light sources is coupled to the top plate via the walls of the recesses. The multiple light sources form a linear array within the linearly extending recesses.