基于局部最優(yōu)匹配的斜視SAR子孔徑成像算法

孫寧霄; 吳瓊之; 孫林

doi:10.11999/JEIT170466

基于局部最優(yōu)匹配的斜視SAR子孔徑成像算法

doi: 10.11999/JEIT170466

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出版歷程
- 收稿日期: 2017-05-16
- 修回日期: 2017-10-07
- 刊出日期: 2017-12-19

Local Optimal Matching Algorithm for Subaperture Imaging of Squint Synthetic Aperture Radar

(School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China)

摘要

摘要: 斜視合成孔徑雷達(dá)(Synthetic Aperture Radar, SAR)能夠?qū)走_(dá)平臺的側(cè)前或側(cè)后方區(qū)域進(jìn)行觀測，極大地增加了雷達(dá)的探測范圍和靈活性。針對斜視SAR子孔徑成像，該文提出一種基于局部最優(yōu)匹配準(zhǔn)則的成像算法。該算法在針對某方位頻率構(gòu)造對應(yīng)的距離徙動校正、2次距離壓縮以及方位補(bǔ)償函數(shù)時，以位于該方位頻率處的點(diǎn)目標(biāo)得到最佳匹配為準(zhǔn)則，不同于傳統(tǒng)方法的以方位中心點(diǎn)獲得最佳匹配為準(zhǔn)則，從而能夠避免距離方位中心較遠(yuǎn)的目標(biāo)的失配，有效地改善了方位邊緣區(qū)域的聚焦效果。文中通過點(diǎn)目標(biāo)仿真驗證了該算法的有效性。
- 斜視合成孔徑雷達(dá) /
- 子孔徑成像 /
- 局部最優(yōu)匹配準(zhǔn)則
Abstract: Squint Synthetic Aperture Radar (SAR) can observe the side-front or side-rear scene of the platform. The squint mode improves the observation area and flexibility of SAR greatly. For subaperture imaging of squint SAR, a Local Optimal Matching Algorithm (LOMA) is proposed in this paper. In the algorithm, a new criterion is used in the presentation of the functions for range cell migration correction, secondary range compression and compensation in azimuth frequency domain. The criterion is that the target located at the azimuth frequency is matched optimally. It is different from the traditional algorithm, whose criterion is that the target at the azimuth center is matched optimally. Based on the new criterion, the proposed algorithm is able to avoid the mismatching and improve the focusing of the targets far from the azimuth center. The validity of the proposed algorithm is illustrated by the simulation results.
- Synthetic Aperture Radar (SAR) /
- Subaperture imaging /
- Local Optimal Matching Criterion (LOMC)

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