258 results about "Matched filter" patented technology

The invention relates to an optical cable monitoring and data analysis method and device, equipment and a medium. The method comprises the following steps: acquiring current state data of an optical fiber link, and dynamically generating adaptive pulse coding parameters and matched filter parameters based on the data by using a deep reinforcement learning agent, so as to generate and inject coded pulses into the optical fiber link; and then receiving an echo signal, performing matched filtering processing on the signal by using the generated matched filter parameter to obtain a filtering output signal, further calculating a performance index vector and a reward signal, and finally updating a strategy network of the intelligent agent by using the reward signal, thereby realizing continuous optimization of pulse coding and matched filtering parameters. Therefore, the system can automatically adapt to the dynamic change of an optical fiber link, the spatial resolution, the dynamic range and the signal-to-noise ratio are effectively improved, and the adaptive capability and the robustness of the system are enhanced at the same time.

The invention discloses a foundation pit support deformation real-time monitoring method based on edge calculation, and aims to solve the problems of multi-node time synchronization and clock drift compensation caused by unavailability or poor quality of satellite navigation and precise time protocols in an underground or shielded environment. According to the method, through event dictionary learning, partition time slot scheduling and safety coding micro excitation time synchronization, matched filtering decoding, multi-scale arrival time estimation, paired time difference robust fusion, frequency priority and phase speed limit correction and network disconnection time holding, the time synchronization efficiency is improved; the technical effects that multi-source data alignment, deformation field reconstruction and graded early warning are completed on the unified virtual reference time scale, and high-precision synchronization and online drift compensation are obtained without depending on the external time service condition are achieved.

The invention provides a distributed optical fiber sensing vehicle signal enhancement method, device and equipment, and the method comprises the steps: carrying out the framing processing of a to-be-processed vehicle signal, and obtaining a time-frequency feature corresponding to the to-be-processed signal; the time-frequency characteristics comprise frequency distribution characteristics and time-domain characteristics; constructing a template signal based on the time-frequency characteristics, and designing a corresponding matched filter by using the template signal to obtain a target filter; the template signal at least comprises a principal component of the time-frequency characteristic; and matching the target filter with the to-be-processed vehicle signal filtered by the band-pass filter to obtain a target vehicle signal. By analyzing the time-frequency characteristics of the to-be-processed vehicle signal, the template signal capable of being matched with the vehicle vibration signal is found, and the template signal is matched with the to-be-processed vehicle signal after band-pass filtering, so that the influence of interference noise on the original vehicle signal is removed, and the enhancement of the vehicle signal under the condition of strong interference noise is realized.

The invention discloses a sparse polarization MIMO radar multi-parameter estimation method based on tensor decomposition, and the method comprises the steps: firstly constructing a dual-station MIMO radar system based on a polarized antenna, and calculating a covariance matrix of a receiving signal of a matched filter of a receiving end; then converting the covariance matrix into a tensor form, performing dimension transformation on the tensor, and obtaining a virtual covariance tensor of continuous virtual array elements in the difference joint array by using two transformation matrixes; dividing the virtual covariance tensor into a plurality of sub-tensors and connecting the sub-tensors along a fifth dimension and a sixth dimension; and finally, tensor decomposition is performed on the tensor obtained after connection, and multi-dimensional parameter estimation of the far-field target can be realized by using a matrix obtained through decomposition. The method has the advantages that joint estimation of the direction of arrival, the direction of departure and the polarization parameters is achieved under the underdetermined condition, and the estimation precision is high.

The invention discloses an LFM frequency hopping signal long-distance target echo detection method, terminal equipment and a storage medium, and the method comprises the steps: constructing the two-dimensional time-frequency features and one-dimensional matched filtering features of a target echo, extracting the two-dimensional time-frequency features through employing a CNN network, and extracting one-dimensional time sequence features through an SE-CNN-GRU network; carrying out weighted fusion on the multi-dimensional features through a self-adaptive weighted fusion module; a multi-head attention mechanism is introduced to enhance the fused features; and outputting a classification result through the full connection layer and the Softmax layer to obtain a detection result of the target echo. According to the method, one-dimensional matched filtering and a two-dimensional time-frequency graph are selected as input features of the artificial intelligence detection method, the advantages of different artificial intelligence networks are fully utilized to perform multi-dimensional feature mining, adaptive weighted fusion is performed through complementarity and correlation of the multi-dimensional features, and the fused features are further enhanced through an attention mechanism, so that the detection accuracy of the artificial intelligence detection method is improved. Therefore, the target echo detection capability is improved, and high detection accuracy and robustness can be realized in a low signal-to-noise ratio environment.

The invention relates to the field of radar detection and signal processing, and particularly discloses a radar data technology system for monitoring a tiny target, and the system comprises a signal receiving and transmitting module which is used for generating and transmitting a linear frequency modulation signal based on a linear frequency modulation technology, and receiving an original echo signal reflected by the target; the pulse compression processing module is used for performing complex convolution operation on the original echo signal based on a matched filter to generate a compressed pulse signal; the multi-pulse coherent accumulation module is used for performing frequency domain energy accumulation on a plurality of compressed pulse signals of the same distance unit based on a discrete Fourier transform technology; and the Kalman filtering tracking module is used for processing the signals after multi-pulse coherent accumulation through a Kalman filtering algorithm, predicting and updating a target state in real time, and generating final trace point data. According to the invention, through key technologies of large-time wide-bandwidth pulse compression, multi-pulse coherent accumulation and the like, the detection capability of the radar on a tiny target is remarkably improved.

The invention discloses a multi-time slot MAMP receiver and coding method for an MIMO multicarrier modulation system, comprising a time domain linear estimation module gamma l (.) and a symbol domain nonlinear estimation module phi l (.), where l represents the number of iterations; the time domain linear estimation module adopts a matched filter to recover the received time domain signal to obtain an estimated value of the time domain signal; transforming the estimated value into a symbol domain through unitary transformation; and the symbol domain nonlinear estimation module calculates a log-likelihood ratio of each symbol and calculates an estimated value of each symbol through estimation of the symbol domain returned by the time domain linear estimation module. According to the method, the optimal MSE detection performance can be realized with extremely low complexity in a multi-time-slot transmission scene.

The invention relates to a GMSK signal incoherent demodulation method and device. The method comprises the following steps: obtaining a state grid chart by utilizing multi-symbol detection; obtaining a matched filter according to the state grid chart; enabling the received baseband signal to pass through a matched filter to obtain a signal correlation value; obtaining a branch metric value of each state node in the baseband signal according to the signal correlation value; updating the path metric value of each state node according to the branch metric value; reserving a path corresponding to the maximum path metric value of each state node, and taking the path as a surviving path of each state node; and backtracking the survival path of each state node to obtain demodulation data of the baseband signal. According to the method provided by the invention, the state grid is obtained through multi-symbol detection, and multiple pieces of symbol information are combined, so that the problem of insufficient memory length in related technologies is solved, errors are prevented from spreading along the grid, and the error probability of symbol judgment during demodulation is reduced.

The invention discloses a target long-time accumulation method based on ADMF (Amplitude Dimethyl Formamide) under an FDA (Frequency Division Amplification) radar area array system, which mainly solves the problem of insufficient target detection capability caused by weak received target echo energy and low signal-to-noise ratio of received signals when the existing FDA system radar realizes wide-coverage wide-area target monitoring. According to the implementation scheme, the method comprises the following steps: establishing an area array echo model combined with an azimuth-dimension FDA and a pitch-dimension phased array; constructing a time-angle two-dimensional matched filter under a plane array system in which the azimuth FDA and the pitching phased array are combined, and performing matched filtering on echo signals; performing first-order KT conversion and Doppler fuzzy compensation on the echo signal after matched filtering to realize range walk correction; and carrying out distance dimension IFFT and slow time dimension FFT on the corrected signal to obtain a signal after phase-coherent accumulation. Through long-time coherent accumulation of the target, the echo energy of the FDA radar target can be improved, the signal-to-noise ratio can be reduced, the target detection probability can be improved, and the method can be used for detecting a weak high-speed moving target.

The invention belongs to the field of metasurface electromagnetic signal processing, and particularly relates to a deep learning aided design-based metasurface two-dimensional high-resolution signal source positioning method. The super-surface two-dimensional high-resolution signal source positioning method based on deep learning aided design comprises a matched filtering algorithm and an image denoising algorithm. The method comprises the following steps: firstly, performing principle analysis and mathematical modeling on a metasurface two-dimensional signal source positioning function based on a ray tracing method and metasurface physical parameters to obtain a matrix equation; secondly, performing matrix inverse operation on the equality by adopting a matched filtering algorithm, preliminarily estimating two-dimensional position information of the signal source, and outputting the two-dimensional position information in an image form; and finally, inputting image information into the image denoising deep neural network by adopting an image denoising algorithm, and finally realizing two-dimensional high-resolution signal source positioning. According to the high-resolution signal source positioning method, multiple times of simulation and experiments are carried out on the basis of the two-dimensional gradient programmable metasurface platform, and a large number of data results prove that the method has the advantages of high resolution, low complexity and the like.

The invention provides a carbon monoxide plume identification and quantification method based on a domestic hyperspectral satellite, and the method comprises the steps: carrying out the radiometric calibration and atmospheric correction of the data of a visible short-wave infrared hyperspectral camera AHS I carried by the domestic hyperspectral observation satellite (GF-5B, Gaofen-5 B satellite); generating a carbon monoxide unit absorption spectrum by using a medium-resolution atmospheric transmission model MODTRAN; inverting a carbon monoxide enhancement value by adopting a matched filtering method; generating a binary plume mask through threshold segmentation; and constructing a deep learning model based on a residual neural network ResNet network, and realizing plume pixel-level identification and carbon monoxide column concentration enhancement value prediction. The method can identify the carbon monoxide plume with high precision and high efficiency, and is suitable for atmospheric pollution monitoring and pollution source quantification.

The invention relates to the technical field of noise filtering, in particular to an electronic circuit with a transmission line type noise filter, and the electronic circuit comprises a frequency determination device which is used for determining the working frequency and voltage of the electronic circuit; the device determining device is used for selecting a microstrip line as a transmission line and optimizing the filter by using a composite right / left hand transmission line and an open-circuit T-shaped structure; the impedance matching device is used for matching the impedance of the filter with the impedance of the transmission line; the matching measuring device is used for measuring the impedance matching effect by using a reflection coefficient and a VSWR (Voltage Standing Wave Ratio); and the software simulation device is used for simulating and optimizing the matched filter and transmission line by using simulation software. According to the invention, the impedance of the filter is matched with the impedance of the transmission line, so that the impedance change of the signal in the transmission process is reduced, the reflection of the signal is reduced, and the transmission quality and efficiency of the signal are improved.

The invention discloses a maneuvering target long-time coherent accumulation method, system and device and a medium, and relates to the technical field of radar signal processing, and the method comprises the steps: enabling a plane array to achieve the complete airspace coverage in the azimuth angle range dimension through the introduction of FDA; according to the planar array, three-dimensional information of a target is utilized, so that the target can obtain information with higher dimensionality than that of coherent FDA. Then, an azimuth angle-pitch angle-distance three-dimensional matching filter is designed, and rapid waveform matching is realized. The method aims at the influence of a maneuvering target phase-coherent accumulation process. And finally, compensating range migration and Doppler frequency migration in a high-altitude maneuvering target detection process by adopting a second-order Keysone transform-LVD algorithm to realize coherent accumulation of the target. The invention not only provides a novel radar array combining PA and FDA, but also is applied to the field of target detection, especially for complex detection conditions such as high-altitude maneuvering targets.

Systems and methods for anatomical identification using ultrasonic imaging and acoustic shadow detection methods are provided. At least some embodiments of the disclosure comprise the following steps: acquiring ultrasound image; detecting shadow region; extracting shadow profile; filtering shadow profile with matched filter; identifying anatomical landmarks within shadow; extracting features of anatomical landmarks; classifying anatomy, and determining with a high degree of confidence that the target anatomy is depicted in the image. A determination is made as to the degree of confidence that the target anatomy is depicted in the image. Conditionally, graphics indicating presence and position of target anatomy is displayed including disposition, location and orientation thereof.

The invention discloses a strabismus mode ground interference source positioning method and system based on a satellite platform, a storage medium and electronic equipment, and the method comprises the following steps: firstly, carrying out the range pulse compression of a received interference signal according to the related parameters estimated by the prior information of an orbit and the time-frequency relation; constructing a matched filter, realizing linear range migration correction, and eliminating a first-order component of range migration in a range frequency domain-azimuth time domain; a CTF search algorithm is used, and under different search distances, distance direction search is achieved through a cooperation mechanism of global search and step length constraint local optimization; constructing matched filters at different distances to realize quadratic term range migration correction, and eliminating a range migration quadratic term in a two-dimensional frequency domain; azimuth distance compression is carried out at different distances, so that signals are focused; and obtaining a two-dimensional positioning position opposite to the interference source through coordinate transformation. According to the invention, the problem of signal defocusing caused by the distance-orientation strong coupling effect is solved in the squint mode, and the interference source positioning precision is significantly improved.

The present invention discloses a signal form and detection method for Barker code modulation of an incoherent laser radar. The steps are: 1: modulating the incoherent laser radar pulses into "0" and "1" signals according to the Barker code rule; 2: transmitting the laser radar signal, reflecting it from a target, and then receiving and processing it by the radar to obtain a corresponding digital signal; 3: applying a certain amount of bias to the digital signal within a pulse repetition period, where the bias value is the average value of the digital signal obtained by receiving and processing the current background light; 4: matching filtering the biased digital signal using the Barker code modulated pulse signal; and 5: further processing the matched filtered signal to detect the target and estimate its parameters. In a low-cost incoherent laser radar system, the application of Barker code modulation to the transmitted signal can achieve a significant improvement in the signal-to-noise ratio through digital pulse compression technology, thereby improving the detection performance and ranging accuracy of the incoherent laser radar.

The audio device comprises a receiver (201) arranged to receive a set of input audio signals. An audio beamformer (101) performs beamforming by combining the outputs of the filters. The feedback circuit (103) comprises a set of matched filters having a complex conjugate frequency response, and the beamforming adapter (105) adapts the filters in response to a comparison of the input audio signal and the feedback audio signal. An adaptation coefficient processor (207) determines decorrelation coefficients for a set of spatial decorrelation filters that generate a decorrelated output signal from an input audio signal, where the decorrelation coefficients are adapted based on the input signal. A set of spatial filters (205, 301, 401) is arranged to apply spatial filtering to the input audio signal or the feedback signal, wherein the set of spatial filters has coefficients determined from the decorrelation coefficients.

The invention provides an indoor field radar pulse time-sharing slicing and echo synthesis method. The method comprises the following steps: step 1, designing a radar pulse time-sharing slicing signal; setting the radar pulse signal as a linear frequency modulation signal, and performing time-sharing slicing: in order to ensure that the transmitted and received slice signals are not mutually coupled, enabling the pulse width to meet the condition that the back edge of the transmitted slice signal does not exceed the front edge of the received slice echo; step 2, echo synthesis design of slice signals; and carrying out time delay compensation on the mth section of slice echo, adding and synthesizing all the forward-moving slice echoes to obtain a complete target echo, and enabling the recovered target echo to pass through a linear frequency modulation signal matching filter to obtain a high-resolution one-dimensional range profile of the target. According to the method, time-sharing slicing processing is carried out on radar pulses, single-section slice signals are transmitted in a certain period, time delay compensation of slice echoes is carried out at a receiving end, then echo synthesis is carried out, and finally complete target echoes and a high-resolution one-dimensional range profile of a target are obtained.

The invention discloses a front-feedback combined burst signal fast symbol synchronization method, which relates to the technical field of digital signal processing and satellite communication, and comprises the following steps: firstly, sampling a received signal subjected to matched filtering processing according to a 4-time symbol rate by using an initial NCO (Network Controlled Oscillator), then dividing a sampling value into two paths, sending one path to an FIFO (First In First Out) register for caching, and using Oamp in the other path; the method comprises the following steps of: firstly, performing timing deviation estimation by using an FIFO (First In First Out) register and an M algorithm, secondly, determining a moment when the FIFO register starts to read data, an oscillation initial value of an interpolation control NCO and an initial value of an interpolation coefficient according to a timing deviation estimation result, starting the interpolation control NCO, and then, sending the data read by the FIFO register into a Farrow structure interpolation filter for interpolation processing according to the initial value of the interpolation coefficient. And finally, a Gardner loop is started, feedback control is carried out on the interpolation control NCO, and an interpolation result is output, so that the fast symbol synchronization speed and precision of the burst signal are improved, and the stability and timeliness of fast symbol synchronization of the burst signal are guaranteed.

The present invention provides a communication signal timing error compensation method and device, which includes: processing a signal sent by a transmitter through upsampling, a shaping filter, a transmission channel, a matched filter, and downsampling in sequence to obtain time domain samples of the signal; convolving the filter coefficients of the shaping filter with the filter coefficients of the matched filter to obtain filter coefficients of the time domain samples, and extracting the effective filter coefficients of each time domain sample; constructing a matrix based on the effective filter coefficients of the time domain samples, extracting a submatrix from the matrix based on the number of delayed samples corresponding to each timing error, and calculating the timing compensation coefficient for each timing error based on the submatrix; querying the timing compensation coefficient corresponding to the actual timing error of the current signal, performing timing compensation on the current signal based on the timing compensation coefficient corresponding to the actual timing error, and obtaining a timing-compensated signal. The present invention has a simple structure and low computational complexity, effectively reducing computational complexity and storage space.

The present invention discloses a device and method for multi-type frame recognition and judgment in meteor trail communication, belonging to the field of burst communication technology; the multi-type frame recognition device includes: a matching filter for estimating the position of the frame header during transmission, one or more specific frame type identifiers for completing the comparison between the frame header distance and the set distance, and a frame type judge for judging the received frame type. The present invention only requires one set of frame header related matching circuits, and in the case of a large number of frame types, the method can complete the task of frame type recognition more stably and efficiently. In addition, the method strengthens the synchronization constraint conditions and does not have the problem of multiple frame header sequences interfering with each other. Therefore, in the case of low signal-to-noise ratio, the method has a lower probability of misjudgment and false detection.

The invention relates to a computer-implemented method for determining spatially resolved radiation load information of a patient when conducting an examination with an imaging X-ray apparatus having an X-ray radiator for outputting an X-ray field for conducting the examination, wherein patient input dose information is determined for determining the radiation load information, wherein the pre-dose information is determined in the case of use of a matching filter arranged between the patient and the X-ray radiator, which causes a non-uniform dose distribution in a plane perpendicular to a central ray of the X-ray field, the pre-dose information describing a uniform distribution of the X-ray dose acting on the patient without the matching filter; dose distribution information is calculated using the pre-dose information by means of a filter model, which describes at least the dose distribution of the X-ray dose acting on the patient in the part of the X-ray field covered by the matching filter; and the patient input dose information is determined using the dose distribution information.

This invention discloses a network synchronization device that may include a matched filter. The matched filter may be configured to generate an event for synchronizing the operation of elements in the network, at least in part in response to a timing frame generated at a network switch. The event for synchronizing the operation of the element may include a first event generated at least in part in response to first information associated with a first element and a second event generated at least in part in response to second information associated with a second element. Related systems and methods are also disclosed.

A system and methods are disclosed. The method includes obtaining a seismic dataset including a plurality of recorded multiple events, generating a predicted multiple model using a multiple prediction method and the seismic dataset, and estimating a set of initial matching filters using a matching method, to match the plurality of estimated and recorded multiple events. The method further includes generating a tensor field based on the predicted multiple model, determining a set of structure-oriented matching filters based on the set of initial matching filters and the tensor field, generating a filtered multiple model based on the predicted multiple model and the set of structure-oriented matching filters, and generating a multiple-attenuated seismic dataset based on the filtered multiple model and the seismic dataset, forming a seismic image based, at least in part, on the multiple-attenuated seismic dataset, and determining a location of a hydrocarbon reservoir based on the seismic image.

The application provides a satellite navigation deception jamming identification and positioning method based on passive synthetic aperture, comprising the following steps: mounting an antenna and a deception jamming signal receiver on a moving carrier and designing the moving carrier to move at a constant speed above a deception jamming source; designing the antenna to continuously receive deception jamming signals emitted by the deception jamming source below in a horizontal beam coverage time; processing the deception jamming signals by the receiver to obtain Doppler signals; performing matched filtering of the Doppler signals r'' under different matched filter frequency conditions by using a matched filter to obtain a frequency modulation-frequency modulation-time two-dimensional search matrix; obtaining the frequency modulation of the signal r'' based on the frequency modulation-frequency modulation-time two-dimensional search matrix; calculating the radial distance between the receiver and the deception jamming signal source under the zero Doppler plane based on the frequency modulation of r''; calculating the position information of the deception jamming source based on the radial distance; and judging the deception jamming signal according to the position information of the deception jamming source.

The invention relates to an accurate photodetector measurement for LIDAR. A light ranging system may include a laser device and an imaging device having a light sensor. A laser device irradiates a scene with laser pulsed radiation that is reflected from an object in the scene. The reflection may vary greatly depending on the reflective surface shape and reflectivity. The signals measured by the light sensor may be filtered with several matched filters designed according to the curves of different reflected signals. The best matched filter can be identified, and thus information about the reflective surface and accurate ranging information can be obtained. The laser pulse radiation may be emitted in coded pulses by allowing weights of different detection intervals. Other enhancements include interleaving laser pulses and changing the operating state of a photodetector of a pixel sensor, as well as efficient signal processing using a sensor chip including processing circuitry and a photosensor.

The invention provides an extended target phase offset coherent waveform design and efficient accumulation method. The method comprises the following steps: acquiring a pulse signal of a JFPA waveform received by a target, returning echo signals of a plurality of extended targets, and searching a target coarse velocity by using a minimum envelope entropy, constructing a matching function to perform motion compensation on the echo signal to obtain a two-dimensional time domain signal; taking the jitter initial phase of the echo signal corresponding to the reference waveform as a matched filter, and compensating the jitter initial phase of the echo signal corresponding to the coherent accumulation waveform; and designing the echo signal after initial compensation as a coherent echo signal, and performing Fourier transform on the coherent echo signal along slow time to obtain a coherent accumulation result of the target. According to the method, accurate initial phase jitter compensation is completed without target distance information, the method is suitable for an extended target, and after the echo signal of the JFPA waveform is subjected to initial phase jitter compensation, the phase is controlled to be uniform, so that the complexity of FFT coherent processing can be reduced.

The present invention discloses a DSSS enhanced synchronization method combining PMF-FFT and an improved Costas loop, which is applied to the field of wireless communication technology. Traditional receiver designs typically employ independent frequency offset estimation and carrier synchronization methods, which are unsuitable for processing high-dynamic environments and low signal-to-noise ratio conditions. The present invention employs a maximum frequency offset estimation algorithm based on a partially matched filter-fast Fourier transform. By performing an FFT transform on the received signal, the frequency offset of the signal is accurately estimated, thereby effectively reducing the impact of the frequency offset on synchronization performance. Based on the frequency offset estimation, the receiver system designed in the present invention incorporates a Costas loop for carrier synchronization tracking. High-precision carrier recovery is achieved by locking the phase of the input signal.

The application provides a high-efficiency beam separation method and device in an unlicensed multi-beam satellite communication system, and is applied to the technical field of satellite communication, wherein the method comprises the following steps: performing first-stage frequency conversion filtering and downsampling on a target number of subbands to obtain a coarse-grained signal; performing second-stage frequency conversion on the coarse-grained signal based on the target number of subbands to obtain two side frequency points of the subband; performing second-stage filtering and downsampling on the two side frequency points to obtain a fine-grained signal; selecting a corresponding signal branch from the fine-grained signal based on a center frequency point of each beam in a plurality of beams to perform third-stage frequency conversion filtering and downsampling to obtain a target beam signal; and performing fourth-stage matching filtering on the target beam signals corresponding to the plurality of beams respectively through a preset matching filter to obtain parallel separation signals corresponding to the plurality of beams respectively. Through the application, the calculation complexity can be reduced through step-by-step frequency conversion, and the beam extraction effect can be optimized in combination with a multi-stage filter group.

The invention discloses a high-speed maneuvering target coherent accumulation method based on scale correction time reversal transformation, and relates to the technical field of radar signal processing. The objective of the invention is to solve the problem that the real-time requirement of target identification cannot be met due to low efficiency of the existing moving target coherent accumulation method. The method comprises the following steps: obtaining a distance frequency dimension of an echo signal; constructing a scale matching filter by using the speed search parameter, thereby obtaining a pulse compression result; obtaining a time domain form of the pulse compression result after time reversal by using the pulse compression result; constructing a phase compensation function based on the speed search parameter and the acceleration search parameter, and obtaining an inter-pulse accumulation result by using the phase compensation function and a time domain form of a pulse compression result after time reversal, thereby obtaining a speed value, a distance value and an acceleration value; and obtaining an accurate estimation value of the target jerk by using the speed value, the distance value and the acceleration value. The method is used for target coherent accumulation.