差异维度传感器数据融合新方法

A New Data-Fusion Algorithm for Sensor Measurements of Different Dimensions

针对不同维度传感器数据融合问题,提出一种利用三维量测(同时含有距离和角度信息)结果为不足维量测(仅有距离或仅有角度信息)构建假量测点和协方差的新方法。仿真结果表明,该方法能够有效地利用不同维度的量测数据,明显提高目标的定位精度,具有一定的应用价值。

Aiming at the data fusion problem of simultaneous sensor measurements of different dimensions, this paper proposes a new algorithm in which by use of the three dimensional measurement （containing both distance and azimuth） a pseudo-measurement including target position and its corresponding covariance is constructed for the deficient dimensional measurement （only having distance or only having azimuth）. The computer simulation shows that it can use the data of different dimensions effectively and can improve the target location precision greatly. The proposed algorithm has some applied value in the future.