多接收阵合成孔径声纳线频调变标成像算法  

Chirp-scaling imaging algorithm for multi-receiver synthetic aperture sonar

作　　者：张学波[1] 唐劲松[1] 张森[1] 钟何平[1] 

机构地区：[1]海军工程大学水声技术研究所,湖北武汉430033

出　　处：《系统工程与电子技术》2013年第7期1415-1420,共6页Systems Engineering and Electronics

基　　金：国家自然科学基金(61072092;61101205)资助课题

摘　　要：目前,多接收阵合成孔径声纳快速成像算法一般都需要将各接收阵的回波融合成适于传统收发合置合成孔径声纳处理的数据,因此避免不了耗时的插值和空变的相位误差补偿。根据多接收阵合成孔径声纳的实际模型,将各接收阵和发射阵作为一个子系统,并采用驻相原理将其二维频域点扩展函数表示为距离向空变项和非空变项的乘积。在此基础上,运用线频调变标成像算法先完成各子系统数据的成像,然后再实现各子图像的相干叠加,以获得所需的高分辨合成孔径声纳复图像。最后,仿真实验和湖试结果验证了该方法的有效性。Currently,fast algorithms are employed for reconstructing multi-receiver synthetic aperture sonar（SAS） imagery.But the datasets must be pre-processed into monostatic SAS equivalents.And the preprocessing step usually involves time-consuming interpolation and space-variant phase corrections.Considering each transmitter-receiver pair based on the multi-receiver SAS practical model,the two-dimensional frequency point scatter response（PSR） can be expressed as the multiplication of range-variant and range-invariant parts through the principle of stationary phase.Then the resultant image corresponding to the datasets of each transmitter-receiver pair is gotten via Chirp-scaling（CS） algorithm.And a high-resolution SAS complex image can be obtained by coherently superposing each individual image.Finally the simulation and lake trial results show the validity of this method.

关 键 词：合成孔径声纳 多接收阵 驻相原理 收 发阵元对 线频调变标算法 

分 类 号：TN911.7[电子电信—通信与信息系统]