1·A multisensor data fusion method based on Dempster-Shafer evidence theory is described, and an improved algorithm of D-S is put out to solve the dependent information in data fusion.
阐述了基于D - S证据理论的多传感器信息融合算法，提供一种基于D - S理论的改进方法以解决融合信息的相关性问题。
2·To improve the precision of multisensor data fusion, data or track association becomes the key of target tracking filter.
为了提高多传感器数据融合的精度，数据或航迹关联成为对目标跟踪滤波的关键。
3·This method is applied in multisensor measuring calibration and data processing to improve calculating precision.
在多传感器测量标定和数据处理中加以应用，提高了计算精度。
4·The multisensor integration and data fusion is key technology for high precision measurement system.
多传感器数据融合是进行高精度检测的主要方法和关键技术。
5·Techniques in multisensor target identity fusion for target identification are described in this paper.
本文针对目标识别问题，论述了多传感器目标属性融合技术。