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Scanning radar super-resolution imaging method based on singular value inverse filtering

A super-resolution imaging and scanning radar technology, applied in the field of scanning radar super-resolution imaging based on singular value inverse filtering, can solve problems such as the reduction of imaging resolution, suppress noise amplification, improve forward-looking azimuth imaging resolution, and reduce the number of Effect

Active Publication Date: 2021-04-06
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0006] The main purpose of the present invention is to provide a scanning radar super-resolution imaging method based on singular value inverse filtering, aiming at solving the technical problem that the imaging resolution of the existing method decreases in the actual low signal-to-noise ratio environment

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  • Scanning radar super-resolution imaging method based on singular value inverse filtering
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  • Scanning radar super-resolution imaging method based on singular value inverse filtering

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Embodiment Construction

[0035] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0036] Such as figure 1 Shown is a schematic flow chart of the scanning radar super-resolution imaging method based on singular value inverse filtering of the present invention; a scanning radar super-resolution imaging method based on singular value inverse filtering comprises the following steps:

[0037] S1. Obtain the echo signal of the airborne scanning radar, and establish the echo model of the airborne scanning radar;

[0038] S2. Using the pulse compression method and the range migration correction method, perform range high-resolution imaging processing on the echo signal, and convert the...

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Abstract

The invention proposes a scanning radar super-resolution imaging method based on singular value inverse filtering, which is mainly used to improve the azimuth resolution of forward-looking imaging under the condition of low signal-to-noise ratio. The present invention first converts the forward-looking azimuth super-resolution imaging problem into a convolution inversion problem based on singular value inverse filtering according to the convolution model of the airborne scanning radar echo; then adopts a weighted truncation strategy to construct a The singular value inverse filter function of the carrier scanning radar observation matrix; finally, the singular value inverse filter function and the truncated singular value inversion method are used to realize azimuth super-resolution imaging. In the inversion imaging process, the invention can not only suppress the noise amplification by truncating singular values, but also reduce the number of truncated singular values, and can effectively improve the forward-looking azimuth imaging resolution of the airborne scanning radar in a low signal-to-noise ratio environment.

Description

technical field [0001] The invention belongs to the technical field of radar imaging, and in particular relates to a scanning radar super-resolution imaging method based on singular value inverse filtering. Background technique [0002] Airborne scanning radar has high-resolution imaging in the forward-looking area, which has urgent application requirements in the fields of battlefield reconnaissance, precision guidance, blind landing navigation, and sea detection. Affected by factors such as scene reflectivity and system transmission power, the signal-to-noise ratio of the echo in the actual application environment is low, which makes it more difficult to invert and image the airborne scanning radar. [0003] Literature "Y.Zha, Y.Huang, Z.Sun, Y.Wang, and J.Yang, Bayesian deconvolution forangular super-resolution in forward-looking scanning radar, Sensors, vol.15, no.3, pp.6924–46 ,2015.", proposed a method of azimuth super-resolution imaging based on Bayesian deconvolutio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/89
CPCG01S13/89
Inventor 张寅庹兴宇张永超毛德庆张文涛黄钰林裴季方杨建宇
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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