PGA算法在条带式SAS场景目标成像中的应用

本文针对条带式合成孔径声呐(SAS)对场景目标成像应用中面临的方位向残余相位误差导致成像质量降低的问题,探讨了相位梯度自聚焦(PGA)算法在条带式SAS成像方位向相位误差估计和补偿中的应用方法,通过自适应的选点及窗宽估计处理以提高算法对场景目标的适应性,最后通过对场景目标成像的实际湖试数据进行处理和分析,结果验证了该算法改善条带式SAS对场景目标成像质量的有效性。

The application of PGA algorithm to stripmap SAS imaging for scene targets

The application of phase gradient autofocus (PGA) algorithm to stripmap synthetic aperture sonar (SAS) imaging for scene targets is discussed. The problem of how to embed PGA in an imaging algorithm of SAS is analysed and the PGA method which could perform the operation of isolated scatter points selecting and windowing in the autofocus steps highly adaptively is proposed for stripmap SAS to improve its adaptability to the scene targets . The method is applied to a lake-trial dataset of scene targets and the result shows that it could improve the imaging quality of stripmap SAS for scene targets.