一种面向声纳群目标检测应用的盲波束形成改进算法

An improved blind beamforming algorithm for object detection of sonar group

随着水下自主航行器(UUV)及其声纳检测系统的智能化水平的提高,多UUV协同工作成为重要的研究方向,阵列信号处理中的盲波束形成理论可用于处理该类问题。Coviello提出了一种便于实时应用的盲波束形成算法,但其算法适用面窄,本文通过阵元对理论对其算法加以改进,以适应UUV间的位置误差,从而改善UUV群对目标方位的被动估计能力。仿真实验显示,改进算法在保持Coviello算法良好性能的前提下具有更广阔的适用性。

With the intelligentizing of the unmanned undersea vehicles （UUV） and its sonar detecting system, coordination of multi-UUV becomes an important research direction. Blind beamforming theory of array signal processing can solve such problem. Coviello proposed a realtime blind beamforming algorithm, but his algorithm has limitation in application. This paper improves Coviello＇s algorithm by the doublet theory to fit location error between UUV. So object location can be estimated more precisely. Computer simulations show that the improved while it can be used in widen area.