一种基于最小二乘直线拟合的高分辨率DBS成像算法

刘凡; 赵凤军; 邓云凯; 禹卫东; 艾加秋

doi:10.3724/SP.J.1146.2010.00681

一种基于最小二乘直线拟合的高分辨率DBS成像算法

doi: 10.3724/SP.J.1146.2010.00681

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出版历程
- 收稿日期: 2010-07-02
- 修回日期: 2010-11-25
- 刊出日期: 2011-04-19

A New High Resolution DBS Imaging Algorithm Based on Least Squares Linear Fitting

摘要

摘要: 该文分析了应用于扫描模式下的传统多普勒波束锐化成像算法(DBS)及其改进算法的特点和不足，提出一种新的高分辨率多普勒锐化算法。该算法给出了相干累积点数的选取原则，考虑了距离徙动校正，并利用最小二乘直线拟合方法将模仿SAR的方位聚焦处理技术推广到一般大范围扫描情况，较大幅度地提高了DBS算法的成像质量。机载雷达实测数据的处理结果证明了方法的有效性。
- 扫描雷达 /
- 最小二乘直线拟合 /
- 多普勒波束锐化(DBS) /
- 距离徙动校正 /
- 去方位调频斜率
Abstract: Based on the traditional DBS (Doppler Beam Sharpening) method and the least squares linear fitting algorithm, a new high resolution DBS imaging algorithm is delivered in this paper. The coherent processing number is discussed at first, and the range migration is corrected later. Eventually, as the focus processing of SAR, the azimuth dechirping technique is presented to improve the azimuth resolution. The processing results of real airborne radar data prove the effectiveness of the algorithm.
- Scanning radar /
- Least squares linear fitting /
- Doppler Beam Sharpening (DBS) /
- Range migration correction /
- Azimuth dechirping

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参考文献(1)

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