基于神经网络-模糊推理的目标识别融合研究

Target Recognition Fusion of Multi-mode Composite Guidance Based on ANFIS

为提高复杂环境下多传感器的自适应信息融合能力,提出了一种基于神经网络-模糊推理的信息融合模型,利用神经网络和模糊推理分析传感器探测状态的不确定性,并将其应用于红外成像/毫米波复合制导目标识别的信息融合,识别效果比较理想,可信度有了很大提高。

This paper presents an adaptive neural networks- fuzzy reasoning information fusion system, which is employed to decrease the influence of the uncertainty of sensor state on fusion performance under complex environment. The model consists of confidence estimator and weighted fusion, which is applied to information fusion of multi -mode composite guidance with perfect result and high reliability.