三维成像声纳阵型优化方法研究

Research on the array optimization of three dimensional imaging sonar

三维成像声纳在成像过程中需要对上万个波束进行实时波束形成,这将导致成像算法因运算量庞大,无法满足实时成像的需求。针对这一问题,本文提出一种分级子阵波束形成算法以减少成像算法运算量与存储量,从而提升效率。通过对平面阵进行子阵划分,分别从主瓣宽度、旁瓣峰值、存储量与计算量四个参数进行分析,在满足成像效果前提下,寻找一种合理的阵型划分方法,经仿真测试,在阵型进行子阵划分的条件下可以满足对水下目标实时三维成像,符合工程实践的需求。

The beamforming of three dimensional real time imaging sonar requires thousands of beams in the imaging process,which will leads to the large amount of computation and can't meet the need of real-time imaging.To solve this problem,this paper introduce a method of sub-array beamforming to reduce the computation and memory,improving the effciency of computation.By dividing the planar array into different subarrays,the main beam width,sidelobe peaks,calculation amount and storage capacities are analyzed respectively to look for an optimal method of array partitioning without affecting the imaging performance,which will also meets the need of real time imaging process.The optimized algorithm can satisfy the needs of imaging three dimensional targets in real time by simulation,besides the algorithm also meets the imaging requirements in engineering.