Real beam scanning radar corner super-resolution method

A technology of scanning radar and angle super-resolution, which is applied in radio wave measurement system, radio wave reflection/re-radiation, and use of re-radiation, etc.

Inactive Publication Date: 2015-04-22
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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However, the selection of regular parameters involved in this method will bring additional calculation

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  • Real beam scanning radar corner super-resolution method
  • Real beam scanning radar corner super-resolution method
  • Real beam scanning radar corner super-resolution method

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[0043] In order to facilitate those skilled in the art to understand the technical content of the present invention, the present invention will now be further described with reference to the accompanying drawings:

[0044] The real-beam scanning radar angle super-resolution method of the present invention uses simulation experiments to demonstrate the feasibility and effectiveness of the proposed radar angle super-resolution method. All the steps and conclusions of the present invention are verified on the Matlab2012 simulation platform, such as figure 1 The flow chart of the method of the present invention is shown, and the detailed steps are as follows.

[0045] S1: Forward looking scanning radar echo modeling

[0046] This embodiment adopts the forward-looking scanning radar imaging motion geometry mode, as attached figure 2 Shown is a schematic diagram of scanning radar echoes of the present invention. Scanning radar imaging parameters are shown in Table 1. The angle and ampl...

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Abstract

The invention discloses a convolution retrieval method based on the truncated singular value decomposition theory. According to an echo model of a scanning radar, scanning radar azimuth echoes are built into convolutions of an antenna directional diagram and a target scattering coefficient. Scanning radar corner super-resolution imaging is achieved by using the convolution retrieval method. According to noise amplification in the convolution retrieval process, firstly, the noise amplification reason is analyzed from the algebraical angle; secondly, singular value decomposition is carried out on a convolution matrix, and singular value components causing noise amplification are removed; finally, convolution retrieval and scanning radar corner super-resolution imaging are achieved through the adoption of an algebra inversion method. By means of the method, the problem of the noise amplification caused by a traditional deconvolution method in the convolution process is effectively solved, and the accuracy of scanning radar corner super-resolution imaging achieved according to the deconvolution method is accordingly improved.

Description

Technical field [0001] The invention belongs to the technical field of radar imaging, and specifically relates to airborne scanning radar angle super-resolution imaging. Background technique [0002] The high-resolution imaging of the front-view area of ​​the radar platform has urgent application requirements in the fields of ground search, sea detection and imaging, blind landing of aircraft, terrain matching, terrain following, ground attack, and missile terminal guidance. [0003] Radar angle super-resolution: refers to the method of radar signal processing, which breaks through the limitation of system parameters on the angular resolution of radar images, and achieves high resolution in azimuth. [0004] Scanning radar: refers to a kind of radar that makes the radar beam uniformly or non-uniformly scans the ground, ocean or space targets by means of mechanical rotation. [0005] Singular Value Decomposition: Let A∈R m×n (Or C m×n ) Where R and C represent real number or complex nu...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/89G01S7/292
CPCG01S13/89G01S7/292
Inventor 黄钰林查月波王月喻鑫张寅杨建宇武俊杰
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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