Radar pulse compression output minor lobe inhibition method based on windowing processing

Abstract

The present invention provides a radar pulse compression output minor lobe inhibition method based on windowing processing. The method comprises the steps of: performing pulse compression processing of a known echo signal of a radar, outputting a pulse compression signal A, loading a window function to the pulse compression signal at a frequency domain, performing inverse Fourier transform to allow the pulse compression signal to be equal to an ideal output signal on a time domain, and solving the window function, wherein the ideal output signal is namely a pulse compression signal at a set position for minor lobe inhibition; performing pulse compression processing of the radar echo signal to be inhibited, loading the window function to the pulse compression signal to perform processing, and obtaining an ideal output result of minor lobe inhibition. The radar pulse compression output minor lobe inhibition method is low in calculation complexity, can achieve shape maintenance of the width and the shape of the main lobe, can flexibly control the minor lobe features of a pulse compression result, and can be deeply controlled.

Description

technical field [0001] The invention relates to the technical field of radar signal processing, in particular to a sidelobe suppression method based on radar pulse compression output by windowing processing. Background technique [0002] Modern radars usually use pulse compression technology to obtain high range resolution on the premise of ensuring the pulse width and signal energy of the transmitted pulse. Taking linear frequency modulation (LFM) signal as an example, LFM signal is the most widely used signal with a large time-width-bandwidth product in radar systems at present. It linearly modulates the frequency of the transmitted signal within the pulse width, which can increase the pulse width of the transmitted signal. while increasing the signal bandwidth. Therefore, the LFM waveform can not only increase the energy of the transmitted signal by using a large time width, but also combine pulse compression processing to ensure the distance resolution of the target. H...

AI Technical Summary

Problems solved by technology

However, the existing algorithms are usually difficult to flexibly control the specific sidelobe intervals to be suppressed and the suppression depth and other indicators, and the main lobe cannot be processed in a conformal manner, and the limitation of its broadening is also difficult to describe analytically and quantitatively.

Secondly, many existing window function calculation methods also have disadvantages such as high algorithm complexity and large amount of calculation, which are not conducive to practical engineering applications.

Images