合成孔径声呐多子阵数据融合算法

Data Amalgamation Algorithm for Multi-receiver Synthetic Aperture Sonar

与合成孔径雷达成像不同,合成孔径声呐运动速度与声波传播速度可比拟,"停-走-停"(Stop-and-Hop)近似不能满足高分辨合成孔径声呐成像的要求;多子阵技术的应用提高了合成孔径声纳的测绘效率,同时带来了如何综合利用各接收子阵回波数据的问题。基于距离多普勒算法的合成孔径声呐多子阵数据融合算法,继承了等效相位中心(DPC)的思想,简化了成像过程;在此基础上,精确补偿了DPC近似和Stop-and-Hop近似带来的误差,保证了成像精度。仿真试验的成像结果证明该方法是有效的。

Differing from the imaging of Synthetic Aperture Radar,the velocity of Synthetic Aperture Sonar is comparative with that of sound wave.＇Stop-and-Hop＇ hypothesis is not sufficient for high resolution Synthetic Aperture Sonar imaging.The multi-receiver technique was introduced to improve the mapping efficiency,but come with new problem like how to realize the comprehensive utilization of the echo data of every multi-receiver.The data amalgamation for multiple receivers must be taken into account.A new data amalgamation algorithm was designed to kick this problem.It was based on Range-Doppler imaging algorithm,inherited the concept of displaced phase center（DPC） and predigested the imaging process.The data amalgamation algorithm accurately compensated the error form DPC approximation and ＇Stop-and-Hop＇ hypothesis.The simulation results showed the validity of this algorithm.