多传感器声目标识别的研究

介绍了声目标的各种识别方法，将Dempster-Shafer证据推理的基本理论应用到声目标的识别中。用质量函数构造基本概率赋值函数，给出了在n次扫描情况下，累积质量函数的融合公式并给出了识别目标的决策方法。通过实例计算可以看出，该方法可以提高对声目标识别的准确性。

Study on Acoustic Target Identification Based on Dempster-Shafer Evidence Reasoning

Many identification methods of acoustic target are described in detail. The basic theory of Dempster-Shafer evidence reasoning is applied to acoustic target identification. The basic Probability assignment function is constituted with mass function. It gives out the fusion formula of cumulative mass function under the situation of n degree scanning and the strategic decision method of recognizing targets. The calculation of living examples indicates that the method can improve the accuracy of acoustic target identification.