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应用最优数据融合的概念提出了一种改善被动声探测系统探测精度的方法.该方法把M元均匀圆平面声阵分成C_M~3个相关的三元子阵,分别求出各三元子阵的探测值和方差值.然后确定各子阵的置信区间和置信概率,描述各子阵之间的支持与取舍关系,采用最优数据融合方法建立系统最优数据融合区间的算法.最后,通过对四元均匀圆平面声阵的精度分析计算,讨论了融合算法的有效性.
A new method to improve the detection accuracy of passive acoustic detection system is proposed based on the concept of optimal data fusion. This method divides M uniform circular flat acoustic array into C_M ~ 3 related ternary subarrays, Array detection value and variance value.And then, the confidence interval and confidence probability of each sub-array are determined, the relationship between support and selection of each sub-array is described, and the optimal data fusion interval is established by the optimal data fusion method. The accuracy of the four-dimensional uniform circular-plane acoustic array is analyzed and the effectiveness of the fusion algorithm is discussed.