11 results about "Incoherent scatter" patented technology

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.

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 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 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.

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.