合成孔径声呐目标成像算法研究

Research of synthetic aperture sonar imaging algorithm

研究了合成孔径声呐成像处理算法,重点研究了距离多普勒算法和Chirp Scaling算法,分别对两种算法进行了点目标成像的仿真实验,给出了相应的实验结果,通过对两种算法进行比较,寻求较低的复杂度、较高分辨率的合成孔径声呐成像算法。在应用距离多普勒算法的基础上建立了水下目标快速成像仿真模型,给出了基于Visual C++环境水下目标(水雷、鱼雷和潜艇)快速成像的仿真实验结果,从而以较高的效率实现对复杂目标的仿真成像。

Imaging algorithm is studied mainly,including Range-Doppler algorithm and Chirp Scaling algorithm.Then uses them for target imaging simulation experiment,and gives results.On base of comparison of two algorithms,a low complexity and high robustness was found way to underwater target imaging.Finally,the article presents simulation experiment results on base of Visual C＋＋ for torpedo and submarine.In order to simulate the imaging of real underwater objects,the 3D modeling of typical objects such as mines,torpedoes,and submarines is necessary to realize the fast area-target imaging,so that the simulation of complex objects could be accomplished efficiently.