An Imaging Algorithm for Wide-field and Super High-resolution Spaceborne SAR Based on Acceleration Slant Range Model
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摘要: 在大場景超高分辨率星載合成孔徑雷達(dá)(SAR)中，等效速度在方位向上的空變性會導(dǎo)致方位散焦，此時傳統(tǒng)的雙曲線斜距模型已經(jīng)不再適用，針對這個問題，該文提出一種新的加速度斜距模型，該模型可以把速度的方位空變特性考慮在內(nèi)。在此模型的基礎(chǔ)上，該文還給出了相應(yīng)的信號處理和成像方法，首先通過方位時域重采樣消除速度的方位空變性，然后在2維頻域去除三次項(xiàng)和四次項(xiàng)誤差，最后再采用距離徙動算法(RMA)進(jìn)行成像。仿真實(shí)驗(yàn)的結(jié)果證明了新的加速度斜距模型和成像方法的有效性。
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關(guān)鍵詞:
- 星載合成孔徑雷達(dá) /
- 超高分辨率 /
- 大場景 /
- 斜距模型 /
- 距離徙動算法
Abstract: In the wide-field and super high-resolution spaceborne Synthetic Aperture Radar (SAR), the traditional hyperbolic slant range model is no longer available, which is due to the variance of equivalent velocity in azimuth direction is able to cause azimuth defocus. For this problem, this paper proposes a new acceleration slant range model, which considers the azimuth variance of equivalent velocity. Based on this model, the corresponding signal processing and imaging method is given. Firstly, the azimuth variance of velocity is eliminated by azimuth resampling in the time domain. Secondly, the third-order and fourth-order error is eliminated in the 2D frequency domain. Finally, Range Migration Algorithm (RMA) is used to get the final image. The simulation results validate the effectiveness of the new acceleration slant range model and imaging algorithm. -
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