Massive target performance data fast reading and precise interpolation method

Abstract

The invention discloses a massive target performance data fast reading and precise interpolation method. The method includes that 1 target double-station radar cross sections are calculated, and first-order and second-order derivative information is required to be stored in the radar cross sections at the frequency end point positions simultaneously; 2 a useful double-station radar cross section range is determined and read according to the target state; 3 interpolation of an incidence pitch angle, an incidence azimuth angle, a scattering pitch angle and a scattering azimuth angle is conducted respectively; 4 data format organizing is conducted on the double-station radar cross sections; 5 double-station data after being organized is sent to a graphics processing unit, and frequency one-dimensional interpolation is conducted; 6 whether the interpolation of the incidence pitch angle, the incidence azimuth angle, the scattering pitch angle and the scattering azimuth angle is conducted is judged; 7 interpolation data generated by the graphics processing unit is sent back to a central processor. By means of a lagrange interpolation method, fast reading of massive target performance data is achieved, large-scale reading of the data is avoided, interpolation precision is improved, and repeated calculation is saved.

Description

technical field [0001] The invention relates to a target electromagnetic scattering characteristic data processing technology, in particular to a method for fast reading and precise interpolation of mass target characteristic data. Background technique [0002] The calculation of broadband radar target characteristic data of electrically large size and complex structure targets is often very time-consuming, so establishing a target characteristic database is a very general solution. Taking the dual station radar cross section (Radar Cross Section, RCS) as an example, at a certain frequency, the incident elevation angle, incident azimuth angle and scattering elevation angle, scattering azimuth angle are sampled at 2° intervals, using double-precision floating-point memory Taking the real part and imaginary part of the dual-station RCS, the required capacity is 90×181×91×181×8×2 / 1024 / 1024 / 1024G≈4G. Considering the target characteristic database of the Ku band (12GHz-18 GHz, w...

AI Technical Summary

Problems solved by technology

No matter in terms of reading time or memory requirements, these are not allowed and unscientific

Images