Two-dimensional SAR Sparse Target Imaging Method Based on Compressed Sensing
A technology of compressed sensing and target imaging, which is applied in the field of detection of sparse targets, can solve problems such as not considering distance information, achieve good side lobes and background clutter and noise, reduce storage space, and achieve fast results
Active Publication Date: 2016-08-17
XIDIAN UNIV
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Although this method can reduce the amount of data collected, it does not consider the distance information
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[0029] The solutions and effects of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0030] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0031] Step 1. For the original echo signal S e Perform two-dimensional Fourier transform, range migration correction and secondary range compression to obtain the preprocessed two-dimensional frequency domain echo signal S r .
[0032] 1.1) For the original echo signal S ePerform two-dimensional Fourier transform to get S e The two-dimensional spectrum S of f ;
[0033] 1.2) According to the two-dimensional spectrum S f Get the original echo signal S e The phase θ of the two-dimensional spectrum of a (f τ ,f η ) and distance migration factor D(f η ,V r ):
[0034] θ a ( f τ , f ...
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The invention discloses a two-dimensional SAR sparse target imaging method based on compression sensing. The two-dimensional SAR sparse target imaging method mainly solves the problems that according to a traditional SAR imaging method, storage is wasted by a measurement matrix and time is wasted in the reconstruction process. The two-dimensional SAR sparse target imaging method includes the steps of firstly, conducting preprocessing and two-dimensional random downsampling on an original echo signal so as to obtain an echo signal Y[s] obtained through downsampling; secondly, establishing a distance-direction dictionary A[r] and a direction dictionary A[a] to obtain a distance-direction measurement matrix (please see the specification) and a direction measurement matrix (please see the specification); thirdly, calculating the observation echo signal Y[x] of a target image X through the distance-direction measurement matrix (please see the specification) and the direction measurement matrix (please see the specification); fourthly, calculating an echo domain residue omega[x] through Y[s] and Y[x]; fifthly, reconstructing an image domain residue delta X through the echo domain residue omega[x]; sixthly, obtaining an initial target scene B[x] through delta X and the target image X; seventhly, renewing a threshold value through B[x]; eighthly, reconstructing the target image X through the iteration hard threshold value algorithm and the threshold value. The two-dimensional SAR sparse target imaging method has the advantages of being low in side lobe, high in resolution and low in background noise level and noise, and can be used for SAR imaging of the sparse target scene.
Description
technical field [0001] The invention belongs to the field of radar imaging, in particular to a SAR imaging method for sparse scenes, which can be applied to the detection of sparse targets. Background technique [0002] Synthetic Aperture Radar (SAR) is an all-weather and all-weather high-resolution system radar, which is widely used in military, agriculture, navigation, geographic surveillance and many other fields. It receives the echo reflected by the target and performs coherent processing on the echo through the imaging algorithm to obtain the distribution of the scattering coefficient of the target. The traditional imaging algorithm is to obtain the image of the observed scene by performing matched filtering on the azimuth and range of the echo. Traditional imaging algorithms are based on Nyquist sampling and require a large amount of data, which causes great difficulties in data storage, transmission and processing. Moreover, the images obtained by traditional imagi...
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IPC IPC(8): G01S13/90
CPCG01S7/414G01S13/90G01S13/9004
Inventor 侯彪凤宏哲焦李成王爽张向荣马文萍
Owner XIDIAN UNIV