航空声纳浮标定位的数据融合方法研究

声纳浮标由于受到多种随机因素的干扰,定位精度相差很大,在对具有一定散布海域的潜艇目标进行探测时,往往会投放多枚定位浮标,出现数据冗余的现象。针对这一问题,本文提出了浮标定位算法中的一种数据融合算法;并分析了加权融合和非线性最小二乘数据融合的方法,最后通过仿真验证了这种算法的有效性和可行性。

Data Fusion Analysis Applied to Airborne Sonobuoy Positioning

Several positioning algorithms have been used for airborne sonobuoy to locate the target regarding to different sonobuoy types.The positioning precision of airborne sonobuoy is very disparate due to the disturbance of diverse stochastic factors.When more than one algorithm can be applied to locating the target,the data redundancy will occur.Aiming at this problem an algorithm for positioning sonobuoy is proposed in this paper.Two methods are discussed:weighted data fusion and nonlinear least mean square(LMS)data fusion.Through the simulation test this data fusion algorithm is proved efficient and feasible.