20 results about "Incoherent scatter" patented technology

The invention belongs to the field of radar detection, relates to a multi-station phased array incoherent scatter radar noise level calculation method, and aims to solve the problem of lack of an effective multi-station incoherent scatter radar noise level calculation method in the prior art. The method comprises the following steps: obtaining a beam cross covariance of a transmitting beam and each receiving beam; determining a distance distribution covariance between the transmitting beam and each receiving beam; determining the scattering volume covariance of the intersection of the transmitting beam and each receiving beam; obtaining a three-dimensional scattering volume integral, and further determining the receiving power and the noise power of the multi-station incoherent scattering radar; determining noise parameters; and calculating the noise level of the multi-station incoherent scatter radar. According to the method, from the angle of beam width, the scattering volume is solved through a covariance matrix method, then the noise level is determined, and the blank of a multi-station phased array incoherent scatter radar noise level calculation method is filled.

The application belongs to the technical field of signal processing, and particularly relates to a non-coherent scattering ionospheric parameter non-ambiguous estimation method based on Monte Carlo, aiming to solve the problems of inaccurate parameter estimation and poor robustness in ionospheric parameter inversion in the prior art. The method comprises the following steps: receiving measured echo data, estimating the signal noise level and determining the prior information combination mode; obtaining an expected index based on a signal noise threshold mapping library, and judging whether a preset decision threshold is met; if the preset decision threshold is met, starting an optimization selection strategy based on Monte Carlo, and obtaining a candidate solution set; performing cluster analysis on the candidate solution set, selecting a solution with the optimal fitting degree from the solution cluster containing the largest number of solutions, and taking the solution as the final non-ambiguous estimation value. Through systematic Monte Carlo simulation, the application can quantitatively evaluate the inversion reliability under the current data condition, effectively avoid invalid calculation under adverse conditions such as excessive noise or insufficient prior information, and improve the robustness and success rate of estimation.

The present invention belongs to the field of radar detection and relates to a method for calculating the noise level of a multi-station phased array incoherent scatter radar, aiming to solve the problem that there is a lack of an effective method for calculating the noise level of a multi-station incoherent scatter radar in the prior art. The present invention includes: obtaining the beam cross-covariance between the transmitting beam and each receiving beam; determining the distance distribution covariance between the transmitting beam and each receiving beam; determining the scattering volume covariance of the intersection of the transmitting beam and each receiving beam; obtaining a three-dimensional scattering volume integral, and further determining the received power and noise power of the multi-station incoherent scatter radar; determining the noise parameters; and calculating the noise level of the multi-station incoherent scatter radar. Starting from the perspective of beam width, the present invention solves the scattering volume through the method of covariance matrix, and then determines the noise level, filling the blank of the method for calculating the noise level of a multi-station phased array incoherent scatter radar.

The present invention belongs to the field of signal and information processing, and particularly relates to a method for calculating the thermospheric horizontal regional wind field of a multi-station incoherent scatter radar, aiming to solve the problem that the prior art cannot detect and calculate the wind fields at different positions in the horizontal region of low-latitude areas. This method includes: calculating the polarization angles of the transmitting station and the receiving station, and then calculating the included angle between the transmitting beam and the receiving beam to obtain the line-of-sight velocity of each station; connecting the coordinates of the transmitting station and each receiving station, and establishing a geometric transformation relationship in combination with the position of the detected scattering point to obtain the backscattering wave vector of the transmitting station and the scattering wave vectors of each receiving station in the coordinate system centered on the scattering point; obtaining the vector velocity of multi-station collaborative detection of the same scattering volume; determining the diffusion velocity corresponding to the vector velocity, calculating the thermospheric meridional wind field, and combining the distribution of different scattering points in the horizontal plane to obtain the thermospheric horizontal regional wind field. The present invention realizes the detection and calculation of the wind fields at different positions in the horizontal region.

1. Name of the product in this design: Phased array incoherent scattering radar transmitting power supply. 2. Application of this design: This product relates to a power supply for a phased array incoherent scattering radar. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention belongs to the field of radio detection, particularly relates to a phased array incoherent scatter radar background noise calculation method and system, and aims to solve the problem of background noise calculation in phased array incoherent scatter radar detection. The method comprises the following steps: calculating the sky noise temperature of a corresponding detection point according to any detection beam selected in a radar grating lobe-free detection area; a space included angle between the sun position and the detection point position is obtained, and the sun noise temperature of the detection point is determined by combining radar system parameters; determining the atmospheric noise temperature of the detection point according to the elevation angle of any detection wave beam and the detection environment temperature; and comprehensively calculating the sky noise temperature, the sun noise temperature, the atmospheric noise temperature and the system noise temperature of the radar to obtain the background noise temperature of the detection point. According to the invention, the background noise temperature of the phased array incoherent scatter radar can be accurately calculated, and the background noise state detected by the radar can be effectively obtained.

The invention belongs to the field of radio detection, particularly relates to a signal and data processing method for a multi-base incoherent scatter radar, and aims to solve the problem of failure of a conventional signal and data processing method for the multi-base incoherent scatter radar. The method comprises the following steps: dividing a detection distance range of a multi-base incoherent scatter radar beam into a plurality of detection distance doors, and calculating a signal autocorrelation function of each detection distance door; after time correction is carried out on the signal of the receiving station, an observation system equation constant is determined based on antenna gains of the transmitting station and the receiving station and the detection co-body height in combination with radar transmitting power; fitting the signal autocorrelation function according to the spectrum fuzzy function and the plasma scattering theory power spectrum function in combination with the observation system equation constant and the statistical error of the signal autocorrelation function, and performing inversion to obtain the ionosphere parameter of each detection range gate. The method is applied to a multi-base incoherent scattering radar, and an effective ionosphere multi-parameter result is obtained.

The invention belongs to the field of signal and information processing, particularly relates to a method for extracting the collision frequency of an F region of an ionized layer based on an incoherent scatter radar, and aims to solve the problem that the 24-hour change of the collision frequency of the F region of the ionized layer cannot be obtained. The method comprises the following steps: acquiring an ionosphere parameter of an ionosphere F region based on an incoherent scatter radar; acquiring an ion vector speed according to the ion line-of-sight speeds in the plurality of line-of-sight directions; under the condition that the diffusion velocity of ions in the ionized layer is 0, the diffusion velocity zero value height is determined based on the electron density, the electron temperature, the ion temperature and the ion mass; determining a target diffusion velocity of the target height based on the warp wind at the diffusion velocity zero height, the ion vector velocity and the magnetic dip angle; and determining the collision frequency of the ionosphere F region based on the target diffusion velocity. According to the invention, 24-hour continuous measurement of the collision frequency of the F region of the ionized layer is realized.

The invention relates to the technical field of radar detection, and discloses a method for measuring the hybrid height on an ionized layer, and the method comprises the steps: configuring ionized layer heating pump wave parameters and an incoherent scattering radar observation mode; obtaining a corresponding relation between the excited ionosphere parameter and the detection height of the radar detection direction and a corresponding relation between the background ionosphere parameter and the detection height of the radar detection direction; obtaining a stimulated ionosphere parameter height profile and a background ionosphere parameter height profile; and determining the hybrid height on the ionosphere according to the excited ionosphere parameter height profile and the background ionosphere parameter height profile. According to the method, the hybrid height on the ionized layer can be detected. The invention further discloses a device for measuring the hybrid height on the ionized layer, observation equipment and a computer readable storage medium.

The application relates to a modeling method and device for a combined scattering field of a rough surface in a terahertz frequency band. The method comprises the following steps: performing normalization processing on the normal RCS of a single hemisphere, performing fitting characterization on the result, then correcting an approximate formula of the scattering field of the hemisphere by using the normalized RCS, solving the scattering field of a larger radius hemisphere, constructing a phase factor of the scattering field of the hemisphere at different positions by using the relative position relationship of the hemisphere, deducing a scattering field expression of a hemisphere array based on a vector superposition principle, determining the energy ratio of non-coherent scattering field and coherent scattering field according to the ratio of the area of the planar element covered by the hemisphere to the area of the planar element not covered by the hemisphere, performing vector superposition on the scattering field of the hemisphere array and the scattering field of a smooth flat plate based on the superposition idea of non-coherent and coherent scattering, and solving the scattering field of the hemisphere-flat plate combination after the normal RCS of the hemisphere-flat plate combination is corrected. The method can improve the modeling efficiency of the rough surface in the terahertz frequency band.

The application belongs to the field of radio detection, and particularly relates to a phased array incoherent scatter radar background noise calculation method and system, aiming to solve the problem of calculating background noise in phased array incoherent scatter radar detection. The application comprises: calculating the sky noise temperature of a corresponding detection point according to any detection beam selected by the radar grating-free detection area; obtaining the spatial angle between the position of the sun and the position of the detection point, and combining the radar system parameters to determine the sun noise temperature of the detection point; determining the atmospheric noise temperature of the detection point according to the elevation angle of any detection beam and the detection environment temperature; and comprehensively calculating the sky noise temperature, the sun noise temperature, the atmospheric noise temperature and the system noise temperature of the radar itself to obtain the background noise temperature of the detection point. The application can accurately calculate the background noise temperature of the phased array incoherent scatter radar, and effectively obtain the background noise state of the radar detection.

Provided in the present application is a sensing method, which is applicable to an integrated sensing and communication (ISAC) communication system. The method comprises: a central node performing incoherent fusion on first sensing results of a plurality of sensing nodes, in order to determine a plurality of (x, y) coordinates of a sensing target; on the basis of the plurality of (x, y) coordinates, the sensing nodes determining related second sensing results; and the central node performing coherent fusion on the plurality of second sensing results, in order to determine a plurality of three-dimensional coordinates of the sensing target. In this way, a plurality of sensing nodes measure a sensing target from different observation angles, and then perform fusion. Performing incoherent fusion in the (x, y) dimensions can suppress sidelobe elevation caused by the aperture discontinuity of antenna arrays of the different sensing nodes, and coherent fusion in the z dimension can solve the problem of incoherent scattering coefficients of the sensing target caused by the aperture discontinuity of the antenna arrays of the different sensing nodes, thereby improving the quality and accuracy of fused sensing imaging.

The present application belongs to the field of signal and information processing, and specifically relates to a method for extracting the collision frequency of the ionospheric F region based on incoherent scattering radar, aiming to solve the problem of being unable to obtain the 24-hour change of the collision frequency of the ionospheric F region. The method includes: obtaining ionospheric parameters of the ionospheric F region based on incoherent scattering radar; obtaining ion vector velocity based on the ion line-of-sight velocity under multiple line-of-sight directions; determining the zero-value altitude of the diffusion velocity based on the electron density, electron temperature, ion temperature and ion mass when the diffusion velocity of ions in the ionosphere is 0; determining the target diffusion velocity at the target altitude based on the meridional wind, ion vector velocity and magnetic inclination at the zero-value altitude of the diffusion velocity; and determining the collision frequency of the ionospheric F region based on the target diffusion velocity. The present application realizes 24-hour continuous measurement of the collision frequency of the ionospheric F region.

The invention belongs to the field of signal and information processing, particularly relates to a multi-station incoherent scatter radar thermal layer horizontal region wind field calculation method, and aims to solve the problem that in the prior art, wind fields at different positions of a horizontal region of a low-latitude region cannot be detected and calculated. The method comprises the following steps: calculating polarization angles of a transmitting station and a receiving station, and further calculating an included angle between a transmitting beam and a receiving beam to obtain the sight speed of each station; connecting the coordinates of the transmitting station and the receiving stations, and establishing a geometric transformation relationship by combining the position of the detected scattering point to obtain a backward scattering wave vector of the transmitting station and a scattering wave vector of each receiving station under a coordinate system taking the scattering point as the center; the vector speed of multi-station cooperative detection of the same scattering volume is obtained; and determining a diffusion velocity corresponding to the vector velocity, calculating a thermal layer meridian wind field, and obtaining a thermal layer horizontal region wind field by combining distribution of different scattering points in a horizontal plane. According to the invention, detection and calculation of wind fields at different positions in a horizontal area are realized.

The invention relates to the technical field of radar detection, and discloses a method for measuring the intensity of an ionosphere geomagnetic field, and the method comprises the steps: obtaining the observation data of an incoherent scattering radar in an observation mode; wherein the observation data comprises an electron temperature disturbance profile time sequence and a heating pump wave frequency time sequence; based on an electron temperature disturbance profile time sequence, determining a height meeting an ionosphere peak height condition as a target geomagnetic measurement height; determining the electron magnetic rotation frequency at the target geomagnetic measurement height based on the electron temperature disturbance time sequence and the heating pump wave frequency time sequence at the target geomagnetic measurement height; and determining the geomagnetic field intensity of the ionized layer at the target geomagnetic measurement height according to the electron magnetic rotation frequency at the target geomagnetic measurement height. According to the method, in-situ measurement of the geomagnetic field intensity near the ionosphere peak height can be realized. The invention further discloses a device for measuring the ionosphere geomagnetic field intensity, observation equipment and a computer readable storage medium.

The application belongs to the field of radio detection, and particularly relates to a signal and data processing method of a multi-base incoherent scatter radar, and aims to solve the problem that the conventional signal and data processing method is invalid for the multi-base incoherent scatter radar. The application comprises: dividing the detection distance range of the multi-base incoherent scatter radar beam into multiple detection distance gates, and calculating the signal autocorrelation functions of the detection distance gates; after time correction of the signals at the receiving station, determining the observation system equation constant based on the antenna gains of the transmitting station and the receiving station, the detection common height, and the radar transmitting power; fitting the signal autocorrelation functions according to the spectral ambiguity function, the plasma scattering theory power spectrum function, the observation system equation constant and the statistical error of the signal autocorrelation functions, and inversely obtaining the ionospheric parameters of the detection distance gates. The application is applied to the multi-base incoherent scatter radar, and effective ionospheric multi-parameter results are obtained.

1. The name of the design product: phased array incoherent scatter radar (II). 2. The use of the design product: the product relates to a phased array incoherent scatter radar. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1. 5. The part of the design product that is not easy to see or cannot be seen when in use is omitted, and the top view is omitted.

The present invention belongs to the field of ionospheric drift detection, and specifically relates to a method and system for ionospheric drift detection based on a phased array incoherent scatter radar, aiming to solve the problem that there is currently no evaluation system for detecting ionospheric drift using an incoherent scatter radar operating normally at low latitudes, thus unable to select the optimal beam configuration to accurately detect ionospheric drift. The present invention includes: constructing a mapping relationship between the vector velocity in the geomagnetic coordinate system and the line-of-sight velocity of the radar beam direction; for different beam configurations, performing forward and inverse modeling respectively to obtain the relative deviation and relative inversion error of the vector drift; selecting the beam configuration with a relative deviation less than a first set threshold and a relative inversion error less than a second set threshold as the optimal beam configuration for ionospheric drift detection; at the position where the optimal beam configuration is located, detecting the F-layer ionospheric drift through the optimal beam configuration. The present invention achieves high-precision and accurate detection of F-layer ionospheric drift.

1. The name of the design product: phased array incoherent scatter radar. 2. The use of the design product: the product relates to a phased array incoherent scatter radar system. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1. 5. The bottom of the design product is not easy to see or not visible during use, omit the top view.

The invention belongs to the technical field of signal processing, particularly relates to an incoherent scattering ionosphere parameter unambiguous estimation method based on Monte Carlo, and aims to solve the problems of inaccurate parameter estimation and poor robustness during ionosphere parameter inversion in the prior art. The method comprises the steps of receiving actually measured echo data, estimating a signal noise level of the actually measured echo data and determining a prior information combination mode; acquiring an expected index based on the signal noise threshold mapping library, and judging whether a preset decision threshold is met or not; if yes, an optimization selection strategy based on Monte Carlo is started, and a candidate solution set is obtained; and carrying out clustering analysis on the candidate solution set, and selecting a solution with the optimal goodness of fit from a solution cluster containing a maximum number of solutions as a final unambiguous estimated value. According to the method, through system Monte Carlo simulation, the inversion reliability under the current data condition can be quantitatively evaluated, invalid calculation under the bad conditions of too large noise or insufficient prior information and the like is effectively avoided, and the robustness and the success rate of estimation are improved.