摘要
合成孔径声纳(synthetic aperture sonar:SAS)成像中,主要通过自聚焦校正剩余相位误差。对比度最优自聚焦算法(contrast optimization autofocusing algorithm:COAA)是典型的参数化自聚焦方法,一般用于估计二次相位误差。SAS图像中的二次相位误差主要由前向速度偏差和视线方向加速度引起,本文将COAA用于校正SAS图像中由于速度偏差引入的二次相位误差。仿真和实测数据处理结果表明,对比度最优自聚焦算法可以有效补偿图像中的由于速度偏差引起的相位误差。
In synthetic aperture sonar imaging, the residual phase error is mainly corrected via autofocusing. Contrast optimization autofocusing is a typical parameter autofocusing which is used to estimate and correct quadratic phase error. Quadratic phase error is mainly caused by forward velocity and acceleration in the line of sight. Quadratic phase error is corrected by using contrast optimization autofocusing algorithm（COAA） presented in this paper. Simulation experiment and experiment from lake tests show the validity of correcting quadratic phase error with COAA.
出处
《舰船电子工程》
2011年第7期63-65,86,共4页
Ship Electronic Engineering
