A real-time Doppler beam sharpening super-resolution imaging method for airborne radar

Abstract

The invention provides an airborne radar real-time Doppler beam sharpening super-resolution imaging method, which belongs to the field of radar detection and imaging. The present invention adopts the fast iterative weighted least squares estimation to realize Doppler beam sharpening (DBS) super-resolution imaging for the echo signal of the current adjacent coherent processing interval (CPI) by means of scanning-while-acquiring-while-processing , and then use the spatial correlation of adjacent CPI azimuth echoes to recursively update the next CPI weighted least squares estimation result, thereby improving the convergence speed and greatly reducing the computational complexity. Compared with the traditional DBS imaging technology, the present invention can not only effectively improve the imaging resolution, but also can reduce the number of iterations, improve the convergence speed, and satisfy the real-time imaging performance while ensuring the imaging resolution.

Description

technical field [0001] The invention belongs to the field of radar detection and imaging, in particular to an airborne radar real-time Doppler beam sharpening super-resolution imaging method. Background technique [0002] Doppler beam sharpening (DBS) imaging has the characteristics of wide imaging angle of view and good real-time performance, and is widely used in ground reconnaissance, terrain mapping, aircraft navigation, etc. Traditional DBS imaging is mainly based on the fast Fourier transform (FFT) spectral analysis method, which has low resolution and cannot meet the imaging resolution requirements in applications such as helicopter autonomous landing at slow speeds. Therefore, the super-resolution spectral estimation algorithm based DBS imaging techniques have been extensively studied. [0003] In order to improve the DBS imaging resolution, there is a DBS super-resolution imaging method in the prior art, which can improve the DBS imaging resolution, but this method...

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Problems solved by technology

[0004] The purpose of the present invention is to overcome the defects of high computational complexity and redundant iterations in the prior art, which lead to the inability to realize DBS real-time super-resolution imaging, and propose a real-time Doppler beam sharpening super-resolution imaging method for airborne radar. By means of scanning-acquisition-processing at the same time, for the echo signals of the current adjacent coherent processing interval (CPI), the fast iterative weighted least squares estimation is used to realize DBS super-resolution imaging, and then the azimuth echo of the adjacent CPI is used. Spatial correlation, recursively update the next CPI weighted least squares estimation result, thereby improving the convergence speed and greatly reducing the computational complexity

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