A two-dimensional super-resolution imaging method of inverse synthetic aperture radar
An inverse synthetic aperture and super-resolution imaging technology, applied in instruments, measuring devices, and re-radiation, etc., can solve the problems of huge data volume and limited compression performance, and achieve the goal of improving imaging quality, contrast, and imaging resolution. Effect
Active Publication Date: 2021-07-30
BEIJING INSTITUTE OF TECHNOLOGYGY
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However, large bandwidth and large synthetic aperture require a huge amount of data to be transmitted, stored, and processed
In 2010, S.-J.Wei, X.-L.Zhang, J.Shi et al published the article "Sparse reconstruction for SAR imaging based on compressed sensing" in "Progress In Electromagnetics Research", Volume 109, Page 63-81 , proposed a method based on random sampling to reduce the amount of data and perform synthetic aperture imaging through sparse reconstruction. The model proposed in this paper is based on random sampling method, the compression performance is limited and the method is aimed at synthetic aperture radar
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[0078] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.
[0079] In this embodiment, it is assumed that the radio frequency f of the received signal is c =10GHz, signal bandwidth B=400MHz, sampling rate f s =800MHz, sampling interval t s = 1.25ns, pulse width T p =0.32us, pulse repetition time T r =0.05ms, number of observation pulses M=128, number of distance points N 1 =128, number of azimuth points N 2 =128, signal length M after compression c =64, data compression ratio The number of target scattering points K=5, the target rotation angular velocity ω 0 = 6.25 rad / s.
[0080] According to the above steps 1)-step 8), the simulation results are as follows Figure 3-Figure 4 . Table 1 shows the image contrast and image entropy of the imaging results of the traditional method and the method of th...
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The invention discloses a two-dimensional super-resolution imaging method for inverse synthetic aperture radar. Based on compressed sensing theory, for inverse synthetic aperture radar, firstly, an observation signal model is established, and a two-dimensional super-resolution orthogonal base matrix is constructed by using waveform information coupled with distance and azimuth. , to construct a random mapping compression matrix, multiply the orthogonal basis matrix and the compression matrix to construct the perception matrix; compress the vectorized observation data through the compression matrix, and reduce the amount of data; The imaging problem is modeled as a minimum l 1 The problem of norm optimization is to sparsely reconstruct the compressed vector to obtain the scatter point vector, and finally matrix the scatter point vector to realize two-dimensional high-resolution imaging; effectively improve the contrast of the imaging result, reduce the image entropy, and greatly improve the imaging Quality; Compared with the traditional compressed sensing method, it effectively improves the compression ratio, increases the reliability of the algorithm, and reduces the cost of data storage and transmission rate.
Description
technical field [0001] The invention belongs to the technical field of radar imaging, and in particular relates to an inverse synthetic aperture radar two-dimensional super-resolution imaging method. Background technique [0002] In inverse synthetic aperture radar imaging, the FFT-based range-Doppler imaging method is traditionally used, and its resolution is limited by the signal bandwidth and antenna synthetic aperture. Increasing the signal bandwidth and antenna synthetic aperture can improve the range and azimuth directions respectively. imaging resolution. However, large bandwidth and large synthetic aperture require a huge amount of data to be transmitted, stored, and processed. In 2010, S.-J.Wei, X.-L.Zhang, J.Shi et al published the article "Sparse reconstruction for SAR imaging based on compressed sensing" in "Progress In Electromagnetics Research", Volume 109, Page 63-81 , proposed a method based on random sampling to reduce the amount of data and perform synthe...
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IPC IPC(8): G01S13/90
CPCG01S13/9094G01S13/9064
Inventor 田静孔梓丞王烽宇崔嵬宁晨张彪
Owner BEIJING INSTITUTE OF TECHNOLOGYGY