Highly Squint SAR Imaging Algorithm Based on DFT Filter Banks
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(School of Electronic and Optical, Nanjing University of Science and Technology, Nanjing 210094, China)
Funds:
Jiangsu Province University Innovation Program (KYLX_0368)
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摘要: 傳統(tǒng)的大斜視角SAR成像算法利用時(shí)域線性走動(dòng)減少距離徙動(dòng)校正的難度，運(yùn)用非線性變標(biāo)算法改善方位向的聚焦效果，然而變標(biāo)因子的引入也帶來(lái)了一些處理上的不便。針對(duì)這一問(wèn)題，該文從分塊近似匹配的角度出發(fā)，結(jié)合DFT濾波器組理論，提出了一種方位向聚焦的新算法。與傳統(tǒng)的方位非線性變標(biāo)類算法相比，新算法不引入相位操作，能更好地補(bǔ)償空變的多普勒調(diào)頻率，穩(wěn)定性和成像性能都得到了提高，且在一般情況下算法的計(jì)算量要少于傳統(tǒng)算法。仿真結(jié)果證明了算法的有效性。
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關(guān)鍵詞:
- 斜視SAR /
- DFT濾波器組 /
- 非線性變標(biāo)
Abstract: The traditional highly squint SAR imaging algorithm reduces the difficulty in range migration correction by using the time-domain linear walking, and improves the azimuth focusing effect by applying non-linear scaling algorithm. However, the variable standard factor introduced also causes some difficulty for processing. To tackle this problem, this article proposes a new algorithm of azimuth focusing on basis of DFT filter bank theory. Compared with the traditional non-linear scaling algorithm, the new algorithm can compensate Doppler frequency rate better by no introduction of phase operation. The stability is improved and the calculation needed is also less than the traditional algorithm. The simulation results presented proves the effectiveness of the proposed algorithm.-
Key words:
- Squint SAR /
- DFT filter banks /
- Non-linear scaling
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