77 results about "Distance spectrum" patented technology

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 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.

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).

A method for coding messages by group codes over label alphabet and H-symmetric labeling is provided in order to encode geometrically uniform space-time trellis codes considering a distance spectrum. The coding method makes the complexity of code searching reduced considerably by limiting the object of the code design to geometrically uniform space-time trellis codes (STTCs). Therefore, it is possible to design the STTCs with many states, and also design the STTCs with superior performance.

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.