Geo star-machine multi-base SAR topology design method

Abstract

The invention discloses a GEO star-computer multi-base SAR topology design method. It includes establishing the spatial resolution model of GEO star-machine multi-base SAR, constructing the topology design model, converting the topology design model into a multi-objective optimization model, using the multi-objective optimization method for iterative solution, and performing non-linear analysis on the obtained solution set. Dominant sorting, which selects the optimal solution as the optimal topology. The present invention establishes the spatial resolution model of the GEO star-machine multi-base SAR, constructs a topology design model, converts it into a multi-objective optimization model, and then uses a multi-objective optimization method to iteratively solve, thereby obtaining the optimal multi-base topology structure, which can The spatial resolution after multi-base fusion is optimized, and the spatial resolution of remote sensing images is significantly improved.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to a GEO star-machine multi-base SAR topology design method. Background technique [0002] Synthetic Aperture Radar (SAR) is an all-weather, all-weather high-resolution imaging system. It transmits a large time-width product chirp signal and receives a pulse compression signal through matched filtering to obtain high resolution in the range direction. High resolution in azimuth is achieved using synthetic aperture technology. The imaging quality is not affected by weather conditions (clouds, light), etc., and has the characteristics of detecting and locating long-distance targets. Typical applications of SAR include disaster monitoring, resource exploration, geological surveying and mapping, military reconnaissance, etc. [0003] Multiple receiving platforms of multi-base SAR can increase the amount of information obtained by receiving the scattering information of the s...

AI Technical Summary

Problems solved by technology

However, the spatial resolution after fusion is heavily dependent on the topology of the multibasic

If an inappropriate multi-base topology is used, the spatial resolution after fusion cannot be greatly improved or even deteriorated

In order to obtain a multi-base topology that can achieve the optimal resolution, the existing technology analyzes the influence of the multi-base topology on the area of ​​the -3dB resolution unit and proposes an optimal sensor location configuration method, but this method only considers the fixed The configuration of the receiving station or the transmitting station and the method assumes that the receiving and transmitting platforms are located at the ground level

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