Multiband ultra-wideband imaging processing method for near-field measurement of MIMO radar

Abstract

The invention discloses a multiband ultra-wideband imaging processing method for near-field measurement of an MIMO radar. The method comprises the main steps that a filtering-inverse projection (MIMO-FBP) algorithm suitable for near-field measurement of the MIMO (multiple-input-multiple-output) radar is used to carry out image reconstruction on multiband imaging data of the MIMO radar, and channelequalization, directional diagram correction, propagation attenuation compensation and spherical wavefront correction are completed automatically in each band to obtain low-resolution complex imagesin the different bands; 2D fast Fourier transform (2D-FFT) is carried out to transform the complex images in the different bands to corresponding data domains, re-sampling is carried out along a sector ring, and sector ring domain data corresponding to the images in the different bands is obtained; and the multiband sector ring domain imaging data is fused in a proper manner to obtain full waveband MIMO ultra-wideband imaging data; and a traditional FBP imaging algorithm is used to carry out image reconstruction on the fused full waveband data. Thus, a full waveband high-resolution image is obtained.

Description

technical field [0001] The invention relates to the technical field of radar imaging processing, in particular to a multi-band ultra-wideband imaging processing method for MIMO (Multiple Input Multiple Output) radar near-field measurement. Background technique [0002] MIMO radar high-resolution near-field diagnostic imaging measurement radar is a new system of imaging radar, which has good system portability, fast imaging measurement and processing speed, and high-resolution snapshot imaging of stationary targets without the need for target rotation Etc. However, the engineering application of MIMO imaging radar faces the following two problems: [0003] (1) The azimuth (lateral distance) imaging resolution of the MIMO imaging radar is proportional to the virtual aperture size of the MIMO antenna in the lateral direction, and inversely proportional to the distance between the antenna array and the measured target. Lateral distance resolution δ cr The calculation formula ...

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Problems solved by technology

In this way, it can be solved under the conditions of MIMO radar near-field imaging measurement, because image reconstruction needs to complete processing such as equalization of transmitting and receiving channels, correction of array element pattern, attenuation compensation of signal propagation path, etc., and these influencing factors change with radar frequency, so that Image reconstruction is difficult for ultra-wideband data and can only be realized in a narrow frequency band, which leads to the limitation of MIMO radar imaging distance resolution

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