会议专题

The Research of Data Fusion Method for Sample Mean Random Weighting Estimation

First a new method of random weighting estimation is applied to multi-sensor data fusion, a random weighting data fusion method of multi-source sensor is proposed. According to maximum likelihood theory, random samples coming from different sensors (same mean different variance) are fused in an effective way, and a new estimation of mean is gained, thus interference from low-precision detecting results is eliminated and accuracy of the detection results is enhanced. Secondly, an optimal fusion algorithm of multidimensional position based on the random weighting estimation is proposed.Research result shows that the new algorithm has a better performance than traditional information fusion method.

Multi-sensor system Random weighting estimation Data fusion.

Shesheng Gao Zhihua Feng Huaxing Li

College of Automation Northwestern Polytechnical University Xian, Shaanxi Province, China

国际会议

2006 IEEE International Conference on Information Acquisition

山东威海

英文

584-588

2006-08-20(万方平台首次上网日期,不代表论文的发表时间)