Method for acquiring signal-to-noise ratio and sampling ratio of sparse microwave imaging radar

A technique of sparse microwave imaging and sampling ratio, applied in radio wave reflection/re-radiation, radio wave measurement system, using re-radiation, etc., to achieve the effect of reducing the complexity of calculation

Active Publication Date: 2014-04-02
INST OF ELECTRONICS CHINESE ACAD OF SCI
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Problems solved by technology

[0008] The purpose of the present invention is to solve the problem that the sparseness, sampling rate and signal-to-noise ratio provided by the existing technology in the prior art are inaccurate, resulting in the problem that the sparse microwave imaging radar cannot accurately reconstruct the scene. Therefore, the present invention provides a Sparse microwave imaging radar signal-to-noise ratio and sampling ratio acquisition method, relying on the sparseness of the scene, accurately provide the range requirements of radar system signal-to-noise ratio and sampling ratio

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  • Method for acquiring signal-to-noise ratio and sampling ratio of sparse microwave imaging radar
  • Method for acquiring signal-to-noise ratio and sampling ratio of sparse microwave imaging radar
  • Method for acquiring signal-to-noise ratio and sampling ratio of sparse microwave imaging radar

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[0030] Various details involved in the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0031] figure 1 It shows a method of the present invention to obtain the signal-to-noise ratio and sampling ratio of sparse microwave imaging radar, which establishes the precise relationship between the signal-to-noise ratio, sampling rate and sparseness of sparse microwave imaging radar according to the optimization theory and probability theory. The invention can accurately calculate the requirements of the signal-to-noise ratio and the sampling ratio of the radar system depending on the sparseness of the scene. The steps to obtain the signal-to-noise ratio and sampling ratio of the sparse microwave imaging radar are as follows:

[0032] Step S...

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Abstract

The invention provides a method for acquiring signal-to-noise ratio and sampling ratio of a sparse microwave imaging radar, comprising the following steps: S1. establishing a sparse microwave imaging radar echo wave model; S2. constructing a sparse microwave imaging radar sampling ratio model according to the sparsity of sparse target signals in the echo wave model; S3. constructing the needed sparse microwave imaging radar signal-to-noise ratio model according to the sparsity and sampling ratio of the scene; S4. according to the signal-to-noise ratio model, acquiring a sparse reconstructed regularization parameter; and S5. according to the sparse microwave imaging radar echo wave model and a set parameter range, carrying out sparse reconstruction on sparse target signals by utilizing an L1 regularization algorithm, thus obtaining a sparsely reconstructed sparse target signal.

Description

technical field [0001] The invention relates to the technical field of imaging radar, and relates to a method for obtaining the sampling ratio and signal-to-noise ratio of sparse microwave imaging radar. In the imaging radar system, the sparse characteristics of the sparse target signal are used, and the calculation method of the imaging radar sampling ratio and signal-to-noise ratio is given based on the theory of compressed sensing. Background technique [0002] Microwave imaging is an important observation method in the field of remote sensing and earth observation, and synthetic aperture radar is the main technical approach in microwave imaging. Synthetic aperture radar continuously emits and receives electromagnetic waves on the ground along a certain track, and performs high-resolution imaging through signal processing methods. It has the characteristics of all-day and all-weather. As the requirements for radar image resolution in various fields are getting higher an...

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/40G01S13/90
Inventor 吴一戎洪文赵曜张冰尘
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI
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