Synthetic Aperture Radar Imaging Method Based on Sparse Representation Theory
A technology of synthetic aperture radar and imaging method, which is applied in the field of radar, and can solve the problems of time-consuming, poor imaging effectiveness, and inability to achieve real-time imaging processing, etc.
Active Publication Date: 2017-02-22
XIDIAN UNIV
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Although this imaging method can perform imaging at a sampling frequency lower than Nyquist, it often takes a lot of time, cannot achieve real-time imaging processing, and has poor imaging effectiveness, making it only able to process smaller Scenes
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[0044] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0045] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0046] Step 1: Obtain a discrete two-dimensional echo matrix Y.
[0047] (1a) The carrier aircraft moves forward along the course, and the radar transmits a chirp pulse to the ground scene:
[0048]
[0049] where f c is the carrier frequency, γ is the FM slope, t is the full time, is the fast time, t a is the slow time, the relationship between these three times is Represents the time window function of the chirp signal, T r is the pulse duration;
[0050] (1b) Receive the echo pulse of the scene, and get the echo signal as
[0051]
[0052] In the formula, v is the speed of the carrier, C is the propagation speed of electromagnetic waves, and w a (·) is the azimuth window function, w r( ) is the chirp signal time window function, P i...
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The invention discloses a sparse representation theory-based synthetic aperture radar imaging method which is mainly used for solving the problem that the traditional sparse representation-based imaging method cannot process complicated scenes and has large loss. The sparse representation theory-based synthetic aperture radar imaging method comprises the following steps: 1, obtaining a ground scene echo matrix Y; 2, constructing a ground scene azimuth matrix R and a ground scene range basis matrix G; 3, obtaining a matrix relation according to the matrixes in the steps 1 and 2, Gaussian noise N and a scattering coefficient matrix F: Y=RFG+N; 4, constructing an optimization function f (F, V, Dx, Dy) under a total variation frame according to the matrix relation, an intermediate variable matrix V, a horizontal total variation matrix Dx, a vertical total variation matrix Dy and the matrixes in the steps 1 and 2; and 5, solving the optimization function to obtain the image of the ground scene. The sparse representation theory-based synthetic aperture radar imaging method is capable of realizing the high-resolution imaging of synthetic aperture radars, is high in imaging speed, and can be used for large-area topographic mapping.
Description
technical field [0001] The invention belongs to the technical field of radar, in particular to a synthetic aperture radar imaging method capable of effectively processing complex large scenes, which can be used for large-area terrain surveying and mapping, cartography, and all-weather global reconnaissance. Background technique [0002] Synthetic Aperture Radar (SAR) is a high-resolution imaging radar with all-day and all-weather imaging capabilities, and has been widely used in military and civilian applications. The high resolution of SAR relies on broadband signals in the radial distance, and the frequency band of hundreds of megahertz can reduce the distance resolution unit to the sub-meter level; in the azimuth, it relies on the movement of the radar platform, which is equivalent to forming a very long linear array in space , and store each echo as a composite array for processing. [0003] In the SAR system, the radar sends pulses to the ground scene along the route, ...
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IPC IPC(8): G01S13/90G01S7/41
CPCG01S7/41G01S13/885G01S13/90G01S13/9023G01S13/9004
Inventor 赵光辉左功玉石光明罗喜
Owner XIDIAN UNIV