SAR back projection imaging method based on feature distance subspace

A technology of backward projection, imaging method, applied in the direction of reflection/re-radiation of radio waves, utilization of re-radiation, measurement devices, etc.

Inactive Publication Date: 2014-11-19
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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However, the first type of self-focusing algorithm relies too much on the strong point target in the scene, and the second type of self-focusing algorithm belongs to the image domain algorithm in essence, they do not estimate the phase compensation from the perspective of direct

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  • SAR back projection imaging method based on feature distance subspace
  • SAR back projection imaging method based on feature distance subspace
  • SAR back projection imaging method based on feature distance subspace

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Embodiment Construction

[0138] The present invention mainly adopts the method of simulation experiment to carry out calculation and verification, and all the steps and conclusions are verified correct on MATLAB R2010b software. The specific implementation steps are as follows:

[0139] Step 1. Initialize the bistatic SAR system parameters:

[0140] In the present invention, initializing the bistatic SAR system parameters mainly includes: platform transmitter speed V T =(200m / s, 0m / s, 0m / s); platform receiver speed V R =(80m / s, 100m / s, 0m / s); initial position of platform transmitter P T =(-3Km,-20Km, 20Km); platform receiver initial position P R =(0Km,-5Km,8Km); Radar working center frequency f c =10GHz; the distance bandwidth B of the radar emission signal=150MHz; the pulse width T of the radar emission signal P =1×10 -6 s; radar carrier wavelength λ=0.03m; electromagnetic wave propagation speed c=3×10 8 m / s; radar pulse repetition frequency PRF=400Hz; radar pulse repetition time PRT=2.5×10 -...

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Abstract

The invention discloses an SAR back projection imaging method based on feature distance subspace. The method is on the basis of distance history vector, and the concept of distance history vector match degree is put forward from the angle that whether a conventional BP algorithm can focus; and then, based on minimum mean square error criterion and principal component analysis principle, the concept of feature distance subspace is put forward in the SAR imaging field. The measured distance history vector is optimally corrected in the feature distance subspace, so that measurement noise is suppressed very well, the distance history vector match degree is improved, compensated phase position is subjected to accurate estimation, and finally, good focusing effect is obtained. The SAR back projection imaging method is suitable for SAR two-dimension imaging and three-dimensional imaging of any system, and thus the method has very good popularization performance. Finally, since correcting the distance history vector in the feature distance subspace is a linear operation, the method has very high operability.

Description

Technical field: [0001] The technical invention belongs to the technical field of radar, and in particular relates to the technical field of synthetic aperture radar (SAR) imaging. Background technique: [0002] Among the many synthetic aperture radar (SAR) imaging algorithms, the back projection (BP) algorithm is famous for its strong adaptability and excellent focusing performance (see reference "P. Zhang, X. Zhang, and G. Fang. Comparison of the imaging resolutions of time reversal and back-projection algorithms in EM inverse scattering. IEEE Geoscience and Remote Sensing Letters, 2013, 10(6):357-361"). However, in reality, since the distance history used for phase compensation can only be obtained through actual measurement, this distance history is inevitably disturbed by measurement noise. Because the phase error caused by the measurement noise will directly affect the focusing effect of the BP algorithm, only by accurately estimating the phase error can the BP algori...

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Application Information

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IPC IPC(8): G01S13/90
CPCG01S7/285G01S13/003G01S13/90G01S13/9017G01S13/9019
Inventor 张晓玲吴宗亮胡克彬向高师君韦顺军
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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