77 results about "Distance spectrum" patented technology

The invention discloses an on-line in situ detecting method for an infrared-ultraviolet double pulse laser induced breakdown spectroscopy, which at least comprises the following steps of: A. setting a pulse delay time according to the sample excitation characteristics to control the time interval of two lasers; B. firstly outputting laser from an infrared waveband laser, long-distance collecting, adjusting and focusing on a position to be detected, and ablating the sample to generate plasma; C. outputting laser from an ultraviolet waveband laser after a delay time, long-distance collecting, adjusting and focusing on the same position, and exciting the plasma to reinforce a spectrum signal; D. receiving the spectrum signal through a long-distance spectrum collecting device, coupling the spectrum signal in an optical fiber, transmitting the spectrum signal to a spectrograph, and obtaining the spectrum data information through an assorted software; E. collecting the spectrum data, and obtaining a detection ingredient analysis result by a calibration-free correction analysis method.

The present invention discloses a multiple human-targets location and tracking method based on multichannel phase comparison location. The method comprises: based on a linear frequency modulation continuous wave radar system of single input multiple output, employing the moving target indication and de-mean method to perform preprocessing of experiment data and perform diploid interpolation refinement distance dimension windowing Fourier transform of each period of the echo data so as to obtain object distance information according to the distance spectrum of an object; obtaining the object distance information according to the object distance; extracting the phase information corresponding to the target from the peak value where a frequency spectrum object is located; fusing the phase information of different receiving channels, calculating the phase differences among different receiving channels, calculating the azimuth or the pitch angle of the object, and combining the object distance information to calculate the location result of the object at a two-dimensional plane or a three-dimensional plane; and finally, employing the Kalman filtering method to realize the tracking of the target. The multiple human-targets location and tracking method based on the multichannel phase comparison location can perform detection, location and tracking of a plurality of human body objects indoors and outdoors so as to effectively reject multiple paths while keeping the target and perform accurate location of the object.

The invention discloses a multi-target parameter measurement method suitable for a continuous wave perimeter monitoring radar, belongs to a signal processing technology, and specifically relates to amethod for spectrum correction, multi-target pairing and parameter measurement of a continuous wave radar. A method is provided which solves the problem of distance and speed coupling brought by beatoperation, solves the problem of spectrum correction of ''Range-Doppler'' domain (RD domain) data, so as to realize high-precision distance measurement and speed measurement, and can accurately perform target pairing in a multi-target situation. Aiming at a continuous wave perimeter monitoring radar, an efficiency multi-target distance and speed measurement algorithm with high precision is provided; in the aspect of spectrum zooming, the limitation that traditional spectrum zooming or correction operation is only performed on a one-dimensional distance spectrum is broken through, improvement of speed measurement precision does not just rely on increase of the FFT point number or distance spectrum zooming, but takes full advantage of a result of MTD at the same time, and thus the efficiencyof the algorithm and the utilization rate of information are improved.

A method for colony conformation space optimization based on a distance constraint selection strategy comprises the following steps: under a differential evolution algorithm framework, adopting a Rosetta Score3 coarseness knowledge energy model to effectively reduce a conformation space search dimension number and improve the convergence rate of an algorithm; introducing a fragment packaging technique based on knowledge to effectively improve prediction accuracy; utilizing character constraints of a distance spectrum in protein structure to make more structurally similar protein conformations enter a colony, so as to reduce errors caused by energy function inaccuracy and obtain more excellent local conformations; and performing more effective sampling on conformation space in combination with a high global searching capability of the differential evolution algorithm, so as to obtain conformations highly similar to a natural structure. The Rosetta Score3 coarseness knowledge energy model is adopted to effectively reduce the conformation space search dimension number and improve the convergence rate of the algorithm and prediction accuracy.

The invention provides multi-lane vehicle flow counting method, device and equipment and a storage medium. The method herein comprises: acquiring first radial distances from radar to monitoring pointson lanes, wherein the radar is frequency modulated continuous wave millimeter radar; receiving reflected signals acquired by the radar from the lanes, subjecting the reflected signals and a local oscillator signal to frequency mixing to obtain medium-frequency signals, subjecting the medium-frequency signals to one-dimensional spectral analysis to obtain a first distance spectrum, acquiring a driving velocity and radar monitored distance of a target vehicle according to a preset distance amplitude threshold, the first distance spectrum, the first radial distances and a preset velocity amplitude threshold, and counting vehicle flows of the lanes within predetermined time according to the driving velocity and radar monitored distance of the target vehicle. The method, device and equipment and the storage medium can count vehicle flows of multiple lanes, response speed is high, and flow counting is accurate.

The invention provides a method for the RFI (radio frequency interference) suppression and error correction of a low-frequency SAR (synthetic aperture radar). The technical scheme comprises five steps of: step 1, receiver frequency characteristic error correction based on an echo; step 2, distance spectrum equalization suppression and SAR imaging based on a corrected time-frequency domain echo; step 3, registration based on a time domain image; step 4, RFI detection and suppression based on a time-frequency domain; and step 5, residual error correction. The method provided by the invention can solve the RFI detection and suppression of a double-channel low-frequency SAR interferogram, as well as various error correction problems, increase the performance of an along-track interferometry method, and lay a good foundation for the follow-up associated processing.

The invention provides a method and device for determining oil gas saturability. The method comprises the following steps of obtaining a long-echo distance measurement echo string and a short-echo distance measurement echo string; determining a stratum water dispersion coefficient according to actual stratum information at set experiment temperature under set experiment pressure; calculating water dispersion relaxation time according to the stratum water dispersion coefficient; and adding the water dispersion relaxation time under a long-echo distance and the water dispersion relaxation time under a short-echo distance to a short-echo distance spectrum T2, calculating and constructing an echo string, determining the property of fluid in a reservoir stratum according to the long-echo distance measurement echo string and the constructed echo string, and calculating the oil gas saturability of the reservoir stratum. According to the method and the device, the problem that extremely rich regional experience is needed for a conventional nuclear magnetic resonance shifted spectrum method is solved; the use range of a nuclear magnetic resonance well measurement fluid identification method is expanded.

The invention relates to a long distance ranging device based on laser frequency modulation continuous wave, wherein a laser emitting unit is used for outputting a tunable laser, one ends of a main measuring interference optical path and an auxiliary interference optical path are respectively used for receiving the tunable laser, the other ends of the main measuring interference optical path and the auxiliary interference optical path are both connected to a data acquisition processing unit, and the data acquisition processing unit receives the two beat signals output by the main measurement interference optical path and the auxiliary interference optical path and calculates the distance spectrum information after the dispersion compensation is calculated. The long distance ranging deviceprovided by the invention can effectively eliminate the influence of the low frequency noise on the widening of the distance spectrum and can quickly perform dispersion compensation with high efficiency and very easy integration into the measurement program. By comparison, the dispersion compensation method can quickly compensate in real time to improve measurement efficiency and ranging accuracy,and is especially suitable for synthetic aperture radar, driverless measurement, medical coherence tomography, laser vibration measurement and other fields.

There are provided a distance measuring device and a distance measuring method characterized by “simple configuration”, “capability of measuring a near distance”, and “a small measurement error” like a distance measuring device using a standing wave. The distance measuring device includes a signal source (1) for outputting a signal having a plurality of different frequency components within a particular bandwidth, a transmission unit (2) for transmitting a signal as an undulation, s mixed wave detection unit (3) for detecting a mixed wave VC obtained by mixing a progressive wave VT transmitted and a reflected wave VRk of the progressive wave VT reflected by a measurement object (6), a frequency component analysis unit (4) for analyzing the frequency component of the mixed wave VC detected, and a distance calculation unit (5) for obtaining a distance spectrum by subjecting the analyzed data further to spectrum analysis, thereby calculating the distance to the measurement object (6).

The invention discloses a method for predicting a protein structure from local to global on the basis of a knowledge spectrum. The method comprises the following steps: for a query sequence, obtaining a high-quality fragment library through a multi-feature seamless threading method, and obtaining distance spectrum knowledge between residues through statistic consistency analysis on the basis of the fragment library; dividing the query sequence into several segments of structures according to residue information recorded in a distance spectrum; carrying out fragment assembling on each segment of structure to obtain relatively low energy and to ensure that the space distance between adjacent residues approaches to a predicted distance in the distance spectrum; carrying out fragment assembling on the unsegmented structures and calculating the global energy to obtain a metastable-state conformation with low energy and more reasonable structure. The method disclosed in the invention is relatively good in conformation space sampling ability and high in prediction precision.

The invention discloses a low-distance side-lobe frequency-modulated interrupted continuous-wave radar device which is provided with a polarized antenna A and a polarized antenna B. The polarized antenna A and the polarized antenna B are polarized orthogonally mutually, and alternately transmit and receive two types of polarization orthogonal FMICW (frequency-modulated interrupted continuous wave) signals. In order to alternately transmit and receive the two types of polarization orthogonal signals alternately, the short-distance side-lobe frequency-modulated interrupted continuous-wave radar device is additionally provided with a power divider A3 and a synthesizer 14, and the structure of a radiofrequency switch device A, the structure of a radiofrequency switch device B and a corresponding radiofrequency switch controller are modified. The short-distance side-lobe frequency-modulated interrupted continuous-wave radar device capable of realizing short-distance side lobe is characterized in that the polarization orthogonal FMICW signals are alternately transmitted and received. Accordingly, the quantity of sampled synthesized echo signals is doubled, the minimum sampling interval is halved, side lobe of a processed distance spectrum is effectively reduced, and capability of detecting weak targets and strong targets simultaneously is improved.

The invention discloses a protein structure prediction method based on distance constraint copy exchange. The protein structure prediction method comprises the following steps: firstly, carrying out random folding and transformation on a query sequence in each temperature layer to generate an initial population; in population update, taking Rosetta Score3 as an optimal object function, and taking each individual in the population as a target individual in each temperature layer on the basis of a structure with lowest free energy when a protein native state structure which is put forward by Anfinsen is adopted; then, randomly selecting two individuals different from the target individual to carry out variation and cross to generate variation individuals, randomly selecting one section from another individual to carry out transformation with the variation individual to generate a test individual; carrying out energy value comparison on the test individual and the target individual, and introducing the knowledge of a distance spectrum for the test individual of which the energy rises; and carrying out copy exchange on the corresponding individual of an adjacent temperature layer. The protein structure prediction method has good conformational space sampling capability and high prediction accuracy.

The invention provides an improved high-speed dispersion mismatch correction method for FMCW absolute distance measuring technique, belongs to the field of absolute distance measurement, and is to solve the problem of low measurement efficiency of an existing absolute distance measuring high-speed dispersion mismatch correction method. The method comprises the following steps: establishing an auxiliary interferometer through optical fibers, obtaining dispersive auxiliary interferometer signals, sampling signals of a measurement path with the signals as a data acquisition card sampling clock and obtaining a distance measurement signal Im(m); processing the distance measurement signal Im(m) to obtain distance spectrum of the measurement signal; carrying out d-multiple downsampling on the measurement signal Im(m) to obtain a measurement signal DI(m), the distance spectrum of which is shown in the specification; and when the P(k) is maximum, obtaining corresponding distance obtained after high-speed dispersion mismatch correction from the Im(m).

The invention relates to a thin-layer long optical distance spectrum electrochemical pool with a capillary interface. A pool body adopts a quartz luminosity pool in 1cm, and a fixed partition plate and a three-electrode system are assembled in the pool, wherein the fixed partition plate is provided with a capillary connecting passage, and the three-electrode system comprises a working electrode plate, an auxiliary electrode and a reference ratio electrode. The invention realizes the connection of a thin-layer cavity of the electrochemical pool and a capillary electrophoresis instrument for thefirst time, and the volume of the thin-layer cavity is 50 microlitres at most; a reactant can be rapidly exhausted and electrolyzed, and a reaction product is carried out online and rapid separationdetection by the capillary electrophoresis instrument. The spectrum electrochemical pool can be used for separating and detecting an electrode product on line and can be also used for an in-situ spectrum electrochemical test. The device has simple structure, easy controlled operation, convenient disassembly, assembly and replacement of an electrode and optional working electrode material. The invention can be applied to separation, detection and reaction kinetic research on a complicated electrode reaction product in the field of electrochemistry and relevant fields.

The invention discloses a distance spectrum establishing method for protein structure predicting. The protein has a specific space structure. The similar proteins have similar space structures, the distance between residues of the positions of the proteins is also similar, and the searching of the protein structure can be guided and forecast through a distance spectrum. According to the distance spectrum, segments with the high score on residues at the positions in an inquiry sequence are established according to the sequence spectrums of residues in the inquiry sequence and residues in a template, the secondary structure type, the solvent accessibility, the central atom dihedral angle and the like, the segments from the same template at all the positions are traversed, the distance between the residues in the template is calculated, and the distance is similar to the distance between the residues in the space conformation of the inquiry sequence. The method is high in prediction precision and low in complexity.

The invention discloses a group conformation space optimization method based on distance spectrum. Firstly, a conformation is initialized, and inquiry sequences are folded freely and an initialized population is generated in a conversion mode in each temperature layer; individuals of the population serve as targeted individuals in sequence in each temperature layer, two individuals which are different from the corresponding targeted individuals are selected to conduct variation, whether variation individuals are accepted or not is judged according to the distance spectrum, testing individuals are generated by the individuals and the targeted individuals, and whether conformation is accepted or not is judged according to energy. After the population is updated, in order to increase diversity of the population, counterpart exchange is conducted on population individuals of two adjacent temperature layers, and by means of continuous updating of the population and the counterpart exchange, a series of semi-stable state conformations are obtained. The prediction accuracy is high, and the complexity is low.

The invention provides a method for constructing a distance model between protein residues based on a Bolzmann probability density function. The method comprises the following steps: firstly, downloading a protein file with a known structure in a protein database, constructing a non-redundant template library by comparing sequence similarities and removing redundant polypeptide chains with similarities over 30%; secondly, performing similarity comparison on a protein structure in the template library and a query sequence through a sliding window, selecting top 200 fragments with the highest score in each position of the query sequence to form a fragment library file; thirdly, selecting distances between structures from the same template fragment in the fragment libraries on the two positions of the query sequence to form a distance spectrum; and finally, calculating the probability density statistics of a residue pair in the distance spectrum according to the probability density function, using the probability density statistic between the residues to effectively reinforce the sampling of a protein conformational space, and obtain a near native conformation with higher accuracy.

A method of generating a set of generator polynomials for use as a tail biting convolution code to operate on data transmitted over a channel comprises: (1) selecting valid combinations of generator polynomials to include in a pool of potential codes, each valid combination being a potential code; (2) determining first lines of a weight spectrum for each potential code in the pool and including potential codes of the pool having best first lines in a candidate set; (3) determining best codes of the candidate set based on the first L number of lines in the weight spectrum; (4) selecting an optimum code(s) from the best codes; and (5) configuring a shift register circuit(s) of a data transceiver to implement the optimum code(s).

The invention provides a non-contact far-field multi-human respiration heart rate monitoring method based on millimeter waves. The method comprises the following steps: performing micro Doppler operation on a monitored millimeter wave signal, and demodulating operation data into micro distance frequency spectrum data and micro angle frequency spectrum data; separating the two kinds of frequency spectrum data by adopting a band-pass filter; constructing a distance set and an angle set based on the micro-distance spectrum data and the micro-angle spectrum data, wherein the distance set is used for storing multi-target human body signal data of the corresponding distance, and the angle set is used for storing multi-target human body signal data of the same distance and the corresponding angle; and calculating respective respiratory frequencies of the multi-target human bodies in each distance set and each angle set based on wavelet transform, and calculating respective heartbeat frequencies of the multi-target human bodies in each distance set and each angle set based on a clustering density algorithm. The method has the advantages that: remote monitoring can be achieved, multiple target human bodies can be monitored at the same time, the accuracy of human heart rate and respiration monitoring results is high, and the reference significance of the monitoring results is large.

The invention discloses an external illuminator radar-based blade state monitoring method for wind turbines. The method comprises the steps of firstly, preprocessing a direct wave signal and a radar echo signal received by an external illuminator radar and obtaining range spectrum data; obtaining the range spectrum data of the wind turbines on a range cell by combining prior information, such as positions of a transceiver station and the wind turbines; carrying out time-domain autocorrelation, FFT transformation and short-time Fourier transformation processing on the data in sequence and obtaining an autocorrelation spectrum, a Doppler spectrum and a time-frequency diagram of blade echoes separately; estimating a rotating speed of the blades according to a spectral peak time interval of the autocorrelation spectrum; estimating orientation of the blade surfaces by using a Doppler expansion frequency of the blade echoes in the Doppler spectrum; and judging the breakage condition of the blades according to the Doppler expansion frequencies of the blades in the time-frequency diagram. The external illuminator radar-based blade state monitoring method for the wind turbines is a wide-area non-contact monitoring method, and multiple parameters of the blades of multiple groups of wind turbines can be monitored at the same time.

The invention discloses a millimetre wave radar target detection method and system. The method comprises the steps of: obtaining an upper swept-frequency emission signal and an echo signal of a millimetre wave radar; processing the emission signal and the echo signal, so that a swept-frequency complex signal is obtained; according to the swept-frequency complex signal, determining a distance spectrum function model of a radar target; according to the distance spectrum function model, determining a noise power estimation value; according to the noise power estimation value, determining a threshold value; and selecting a relatively high value between the threshold value and the set empirical threshold value as the final threshold value for judging the target. The method or the system in theinvention can reduce the false alarm probability of a background.

The invention discloses a low-frequency synthetic aperture radar image comparison and cancellation radio frequency interference suppression method. The method includes three steps: 1. conducting range spectrum and SAR imaging based on radar time-frequency domain echoes to obtain an image (I-bar <1>(t<m>,t<f>); 2. conducting intra-pulse RFI suppression and SAR imaging based on adaptive filtering to obtain an image (I-bar<2>(t<m>,t<f>); and 3. comparing the amplitude values of the pixel points of the image (I-bar <1>(t<m>,t<f>) and those of the image (I-bar<2>(t<m>,t<f>) point by point and removing residual RFI to obtain an image I<o> (t<m>, t<f>) which is the SAR image with the residual RFI suppressed by adopting the method of image comparison and cancellation. According to the invention, the method uses the spectrum balancing which can stabilize RFI suppression properties in combination with adaptive NLMS filtering, realizes complementary properties of the RFI suppression and obviates the need for registering the generated image. The method can conduct direct comparison on image domain point by point, removes the residual RFI, requires small operation, has strong real-timeness and is easy to be engineered.

There are provided a distance measuring device and a distance measuring method characterized by “simple configuration”, “capability of measuring a near distance”, and “a small measurement error” like a distance measuring device using a standing wave. The distance measuring device includes a signal source (1) for outputting a signal having a plurality of different frequency components within a particular bandwidth, a transmission unit (2) for transmitting a signal as an undulation, s mixed wave detection unit (3) for detecting a mixed wave VC obtained by mixing a progressive wave VT transmitted and a reflected wave VRk of the progressive wave VT reflected by a measurement object (6), a frequency component analysis unit (4) for analyzing the frequency component of the mixed wave VC detected, and a distance calculation unit (5) for obtaining a distance spectrum by subjecting the analyzed data further to spectrum analysis, thereby calculating the distance to the measurement object (6).

The invention relates to the technical field of communication, and discloses a method for ranking the reliability of polarization channels, a polarization code coding method and a device thereof, which are used for improving the accuracy of ranking the reliability of polarization channels. The method comprises the following steps: determining the reliability of each of the N polarization channels,wherein the reliability of the ith polarization channel is based on a first distance spectrum between the first coset and the second coset, determining a second distance spectrum between elements within the first coset and a constant P related to a physical channel state, i belongs to {1, 2,..., N}, N is a mother code length of a polarized polar code, N=2m, m is a positive integer, and the firstcoset is based on a set 0th to (i-1) a sequence of decoded bits and a set of encoded codewords whose i-th decoded bits are determined to be 0, wherein the second coset is based on a set of 0 to (i; 1)a coded bit sequence and a coded codeword set determined that the i-th decoded bit is 1; and determining a reliability ranking sequence of the N polarization channels according to the reliability ofeach polarization channel of the N polarization channels.

The invention discloses an ultrasonic guided-wave propagation distance sparse estimation method and a detection system thereof. The method comprises the steps of acquiring the frequency-wavenumber curve of a target modal ultrasonic guided wave of a to-be-tested structure, taking unit impulse response signals at different propagation distances as atoms to construct an over-complete dictionary library, acquiring the unit pulse response signal of the to-be-tested structure, adopting the over-complete dictionary database as a signal base to establish the sparse representation model of the unit pulse response signal, and solving a sparse representation model to obtain the distance spectrum of the ultrasonic guided wave propagation. Compared with the prior art, the obtained distance spectrum result has higher range resolution, higher accuracy and better anti-interference effect.

The invention provides a monitoring method, device and facility for abnormal road conditions based on a millimeter-wave radar. The monitoring method comprises the steps that a reflected signal of a monitoring area is received, and the reflected signal and a local oscillator signal are subjected to frequency mixing to obtain an intermediate frequency signal; the intermediate frequency signal is subjected to frequency spectrum analysis so as to obtain a distance spectrum; a speed spectrum is obtained according to the distance spectrum and the preset distance amplitude threshold; according to thespeed spectrum, the preset speed amplitude threshold and the preset speed frequency threshold, a set of target objects located at the predetermined motion state at the current sampling time in the monitoring area is obtained; according to the target objet set at the current sampling time and the target objet sets located at the previous N sampling times of the current sampling time, the durationof all the target objects, in the target objet set at the current sampling time, in the predetermined motion state is obtained; and according to the duration and the preset time threshold, abnormity of road conditions in the monitoring area is judged. The abnormal road conditions can be monitored, and the response speed is high.

The embodiment of the invention discloses a target classification method. The method comprises the steps: obtaining relative radar scattering cross section areas and target distance power spectrum entropy values of to-be-classified targets; and inputting the relative radar scattering cross section areas and the target distance spectral line entropy values into a pre-trained target classifier, anddetermining the categories of the to-be-classified targets according to the output result of the target classifier. According to the embodiment of the invention, the types of the targets are estimatedon the basis of extracting the two-dimensional characteristics of the relative radar scattering sectional areas and entropy values of different to-be-classified targets, the target classification accuracy is improved, and the target relative radar scattering sectional areas and entropy values can be directly calculated on the basis of the signals received by the radar and the preset formula; thecalculation amount is reduced, so that the calculation complexity of target classification is reduced.

The invention provides a method for generating a Turbo code interleaver, which comprises the following steps of: inputting N and M, setting L, satisfying L = NM, setting Dmin and Smin, randomly generating S (x), enabling S (x) to satisfy the constraint that D is greater than or equal to Dmin, and calculating a distance spectrum when S is greater than or equal to Smin; when the S is smaller than the Smin, continuing to execute the steps until a distance spectrum is calculated, judging whether the performance of the interleaver meets a specified standard or not according to the distance spectrum; when the performance of the interleaver meets the specified standard, performing PER simulation; when the performance of the interleaver does not meet the specified standard, resetting new Dmin andSmin, and continuing to execute the steps; judging whether the result of PER simulation meets the specified requirements or not, generating S (x) when the result of PER simulation meets the specifiedrequirements, and resetting new Dmin and Smin to continue to execute the above steps when the result of PER simulation does not meet the specified requirements. The technical scheme has the beneficialeffects that the error rate after final error correction can be effectively reduced, and the error code performance is improved.

The present invention provides a distance spectrum intelligence based normal distribution distance receiving probability model construction method. The method comprises: firstly, downloading a high resolution protein file with a known structure in a protein database, and removing a sequence whose homology is greater than a preset threshold by comparing a sequence similarity degree to form a non-redundancy template library; next, performing similarity degree comparison on a protein structure and a query sequence in the template library by means of a slide window, and selecting M segments with the highest score at each location of the query sequence to form a segment library file; then, selecting distances from the same segment structure in a segment library at two locations of the query sequence; and finally, according to distance distribution of an inter-residue distance spectrum, extracting a predicted distance and a variance to construct a probability density function of normal distribution, comparing structure similarity of an induced conformation, and receiving a conformation according to a distance receiving probability of normal probability. The method provided by the present invention has a stronger spatial sampling ability and higher update precision.