基于擴展方位NLCS的斜視TOPSAR成像算法
doi: 10.11999/JEIT160933
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1.
(南京理工大學電光學院 南京 210094) ②(東南大學微波與毫米波重點實驗室 南京 210094)
基金項目:
國家自然科學基金(61301216)
A Squint TOPSAR Imaging Algorithm Based on Extend Azimuth Non-linear Chirp Scaling
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1.
(School of Electronic &
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2.
(State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210094, China)
Funds:
The National Natural Science Foundation of China (61301216)
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摘要: 斜視TOPSAR(Terrain Observation by Progressive scans SAR)成像模式中,場景內(nèi)各點目標多普勒中心頻率的差異導致方位向信號欠采樣并加劇頻譜的耦合。針對TOPSAR的回波特點,該文提出一種新的TOPSAR全孔徑成像算法:首先引入高階視向速度補償消除回波信號的頻域模糊;接著用非線性變標法對方位空變性進行補償;最后用2維線性變標算法校正高階視向速度補償產(chǎn)生的幾何形變問題。與傳統(tǒng)算法相比,該文算法可在擴展較少數(shù)據(jù)量的情況下避免插值運算,提高成像效率。仿真結(jié)果證明了算法的正確性和有效性。Abstract: In the squint Terrain Observation by Progressive scabs (TOPSAR) mode, the different azimuth scatters have different Doppler center frequencies, which causes azimuth under-sampling problem and increase the coupling between range and azimuth. Considering at the characteristics of squint TOPSAR echo, this article proposes a new full aperture imaging algorithm: first, the azimuth signal aliasing is removed by introducing the nonlinear walk correction; second, the nonlinear chirp scaling algorithm for azimuth focusing is applied to compensating the Doppler modulation rate; finally, the image geometric distortion is eliminated by 2-D chirp scaling operation. Compared with the traditional algorithm, the proposed algorithm avoids the interpolation under the case of extending a small amount of data, hence the calculation needed is less. The simulation results prove the effectiveness of the algorithm.
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Key words:
- Squint TOPSAR /
- Non-linear chirp scaling /
- Chirp scaling /
- Image geometric distortion
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