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1)  sensor class
传感器类
2)  dissimilar sensors
异类传感器
1.
Data fusion system based on dissimilar sensors;
基于异类传感器的数据融合系统
2.
To improve calculation performance of centralized target tracking system which consists of multiple dissimilar sensors, a fusion tracking method based on equivalent sensor was presented.
为了提高多个异类传感器构成的集中式融合跟踪系统的计算性能,提出一种基于等效传感器的融合跟踪方法。
3.
In order to assure the parameter reliability and veracity of collecting datum, according to the characteristics and structure of the system, three data fusion methods are proposed: same sensor data fusion with different measurement periods, multi-sensors data fusion for identical sensor, dissimilar sensors data fusion.
为了提高车辆动态称重的抗干扰能力,设计了包含压力传感器和加速度传感器的称重板,并依据此系统的结构和特点,提出了三种数据融合计算方法:同一传感器多测量周期的数据融合、同类传感器的多传感器数据融合和异类传感器数据融合,以保证参数检测的可靠性和准确性。
3)  heterogeneous sensor
异类传感器
1.
Hough transform track initiation algorithm for distributed heterogeneous sensor network;
分布式异类传感器网Hough变换航迹起始算法
2.
Fast target location method in the heterogeneous sensor system;
异类传感器系统目标快速定位方法
4)  dissimilar sensor
异类传感器
1.
Based on linear unbiased minimum variance estimation theory, a fusion algorithm which fused the state vector of nonlinear systems with dissimilar sensors with arbitrary correlated noises is developed.
基于线性无偏最小方差估计理论,提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
2.
Illuminate the characteristic of distributed dissimilar sensor network,aimed at the multiformity and fuzzy of the information in the network.
针对组网系统中的信息样式多、模糊性强等特点,介绍了分布式异类传感器组网系统及其特点,将数据挖掘中的知识发现理论与数据融合的知识应用理论相结合,建立了异类信息综合处理的集成模型。
5)  Multiplicity sensors
多类传感器
6)  Sensors
各类传感器
补充资料:器类
1.犹品类。
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