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A multi-band ultra-wideband imaging processing method for mimo radar near-field measurement

A technology of ultra-wideband imaging and processing methods, which is applied in the directions of measurement devices, radio wave measurement systems, radio wave reflection/reradiation, etc., and can solve problems such as the limitation of MIMO radar imaging distance resolution

Active Publication Date: 2022-02-11
BEIHANG UNIV
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  • Abstract
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  • Claims
  • Application Information

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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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  • A multi-band ultra-wideband imaging processing method for mimo radar near-field measurement
  • A multi-band ultra-wideband imaging processing method for mimo radar near-field measurement
  • A multi-band ultra-wideband imaging processing method for mimo radar near-field measurement

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Embodiment

[0097] The data used in this embodiment is the aircraft model target imaging data obtained from the actual MIMO radar near-field measurement. The MIMO radar frequency of the imaging measurement data covers three bands, called band-1, band-2 and band-3. Among them, band-1 has the lowest frequency, and band-3 has the highest frequency, and the lowest and highest frequencies of the three bands are adjacent to each other, that is, there is no data notch between the bands. Therefore, the steps of MIMO radar multi-band data fusion imaging processing are as follows:

[0098] Step 1: Use the MIMO-FBP imaging algorithm to reconstruct the image of the data of the three bands one by one

[0099] The MIMO-FBP algorithm suitable for MIMO radar near-field imaging processing is used to reconstruct the MIMO radar imaging data of each band, and the low-resolution complex images of band-1, band-2 and band-3 are obtained. During this process, the equalization of each transceiver channel of the ...

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Abstract

The invention discloses a multi-band ultra-wideband imaging processing method for radar near-field measurement. The main steps are as follows: first, filter-backprojection (MIMO-backprojection) suitable for multiple-input multiple-output (MIMO) radar near-field imaging processing is adopted. FBP) algorithm, image reconstruction of MIMO radar imaging data in multiple bands, and automatically complete channel equalization, pattern correction, propagation attenuation compensation and spherical wavefront correction under each band, and obtain low resolution of each band complex image; secondly, through two-dimensional fast Fourier transform (2‑D FFT), the complex image of each band is transformed into the corresponding data domain, and resampled along the fan ring to obtain the fan ring domain data corresponding to each band image ; thirdly, fuse the obtained multi-band fan ring domain imaging data in an appropriate way to obtain full-band MIMO ultra-wideband imaging data; finally, use the traditional FBP imaging algorithm to reconstruct the image of the fused full-band data, thus Obtain full-band high-resolution images.

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 ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/89G01S7/42
CPCG01S7/42G01S13/89
Inventor 许小剑
Owner BEIHANG UNIV
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