基于最大隶属度原则的多传感器身份融合

Multi-sensor identity fusion based on the maximum membership grade principle

多传感器数据融合技术已经成为目标识别中的一项关键技术,针对各传感器的类型、精度、外界的干扰以及不同传感器对不同目标的敏感程度,采用不同的权系数,把各传感器得到的数据进行身份融合,综合利用各传感器所测量的有效数据,得到最终结果,弥补了单个传感器所得数据的不完整或在某些方面的缺陷,可有效提高识别的准确度。

Multi - sensor data fusion has become one of the critical technologies for target recognition. Considering the type and accuracy of different sensors, external interferences, and the sensitivity of different sensors to different targets, we applied different weighting coefficients for different sensors, fused the data from the sensors, and obtained the final result by integrated application of effective data from various sensors. Therefore, the incompleteness of data and the defects in some aspects when using single sensor were compensated, and thus the recognition efficiency was improved.