摘要
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 which can ameliorate the accuracy of passive sonar detec-tion system (PSDS) is presented with the conception of optical data fusion. Firstof all, M-unit-sonar-plane-array is divided into correlation 3-unit subsystems. Theexpression of subsystem's detection value and variance of situation are obtainedrespectively. Secondly, the confidence interval of every subsystem is defined withthe conception of error probability and the subsystem detection error is tested andthe support rejection of subsystem is determined. Lastly the optical data fusion algo-rithm for improvement of the detection accuracy is discussed by the computationof 4-unit well-distributed circle PSDS.
出处
《北京理工大学学报》
EI
CAS
CSCD
1997年第2期170-174,共5页
Transactions of Beijing Institute of Technology
基金
光华科技基金
