距离徙动算法研究

The Research on Range Migration Algorithm

距离徙动算法(RMA)被认为是最优的成像算法,在合成孔径雷达(SAR)成像领域应用比较广泛。本文详细推导了Dechirp和非Dechirp下的RMA算法,并比较了在非Dechirp下,RMA算法的处理方法与二次距离压缩(SRC)算法、线性调频(CS)算法以及非线性调频(NCS)算法处理方法的异同之处,由此说明RMA算法为什么被称为最优的成像算法。最后,本文仿真了斜视下的非Dechirp的RMA算法和正侧视下的Dechirp的RMA算法,仿真结果验证了成像算法的有效性。

The range migration algorithm（ RMA） is considered as the optimal imaging algorithm,and is widely used in the synthetic aperture radar（ SAR） imaging field. The paper deduces the RMA under the Dechirp case and non-Dechirp case in detail,compares the differences among the RMA,the secondary range compress（ SRC） algorithm,the chirp scaling（ CS） algorithm and nonlinear chirp scaling（ NCS）algorithm,and then explains the reason that the RMA is the optimal imaging algorithm. At last,the paper simulates the RMA with the slant angle under the non-Dechirp case and the RMA without the slant angle under the Dechirp case. The simulation results proves the validation of the RMA.