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A Sparse Singular Value Decomposition Scanning Radar Forward-Look Imaging Method

A singular value decomposition and scanning radar technology, which is applied in the field of scanning radar forward-looking azimuth high-resolution imaging, can solve problems such as the influence of azimuth resolution and the loss of target information

Active Publication Date: 2020-07-07
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, in this method, the method of truncating the singular value is used to suppress the noise amplification, and at the same time, the target information will also be lost, and the azimuth resolution will be affected.

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[0050] In order to facilitate those skilled in the art to understand the technical content of the present invention, the present invention will be further described below in conjunction with the accompanying drawings.

[0051] like figure 1 Shown is the method flowchart of the present invention, and the geometric model of forward-looking scanning radar motion process is as attached figure 2 As shown, the simulation parameters of the platform system are shown in Table 1. target distribution as image 3 As shown, set multiple azimuth targets to verify the effect of azimuth resolution. According to the simulation parameters, the number of sampling points in the range direction is M r , the number of azimuth sampling points is N r .

[0052] Table 1 Simulation parameters of the platform system

[0053] parameter value Carrier frequency f c

10GHz Bandwidth B 75MHz Antenna scan range -10°～10° Antenna Beamwidth 3° pulse repetition...

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Abstract

The present invention proposes a scanning radar forward-looking imaging method based on sparse singular value decomposition, which is applied in the field of radar imaging technology. Firstly, the scanning radar forward-looking echo signal is analyzed, and the azimuth echo model of target scattering coefficient and antenna measurement matrix operation is constructed. Transform the azimuth high-resolution problem into a matrix inversion problem; secondly, use the sparse singular value decomposition method proposed by the present invention to construct the objective function, and finally, use the iterative strategy to realize the solution of the echo azimuth direction signal; the method of the present invention breaks through the traditional TSVD method The limitation of resolution improvement and noise suppression conflicts, and the sensitivity of imaging results to noise is reduced, and the azimuth resolution is improved.

Description

technical field [0001] The invention belongs to the technical field of radar imaging, and in particular relates to high-resolution imaging of forward-looking azimuth directions of scanning radars. Background technique [0002] Radar is widely used in military and civilian fields due to its all-weather and all-weather characteristics. The realization of radar forward-looking imaging is of great significance in the fields of precision guidance and autonomous landing of aircraft. However, in the traditional radar imaging method, although the real beam echo signal in the forward-looking area can be obtained by scanning the radar, the aperture size and imaging method limit the azimuth resolution of the imaging area, and it is difficult to meet the resolution requirements of practical applications. need. Therefore, it is of great significance to improve the resolution of the front view area by using the method of signal processing. [0003] Literature "Q.Huang, L.Qu, B.Wu, et a...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/89G01S7/41
CPCG01S7/41G01S13/89
Inventor 张寅吴阳李昌林沙连童毛德庆徐帆云黄钰林杨建宇
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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