极坐标格式算法在水下目标成像中的研究

Research on underwater target imaging by PFA

摘要: 在理想的水下转台目标成像中,常用的距离-多普勒(Range-Doppler,简称RD)成像算法在目标转角增大时,成像散焦严重。为解决大转角成像带来的目标像模糊问题,提出了在逆合成孔径声纳中,采用极坐标格式算法(Polar Formation Algorithm,简称PFA)对转台目标进行成像,即对回波数据采取先插值后成像,仿真结果表明大转角情况下PFA成像效果相比RD算法成像有明显改善。

Abstract: For ideal high resolution imaging of underwater rotating platform targets,it is necessary to increase the rotating angle.However large rotating angle results in imaging defocus.To solve the problem,the Polar Formation Algorithm(PFA) is proposed in ISAS imaging.Simulation results show that the PFA is more efficient than the Range-Doppler(RD) algorithm in the case of large rotating angle.