The Research of Data Fusion Method for Sample Mean Random Weighting Estimate
Xingguo Zhang · Journal of Projectiles.Rockets.Missiles and Guidance · 2007
By applying an emergent random weighting estimation method to multi-sensor data fusion,a random weighting data fusion method of multi-source information disposing was proposed in this paper.According to maximum likelihood theory,it fuses random samples coming form different matrix(same mean different variance) in an effective way,and gains a new estimator of matrix mean,hereby eliminating interference of low-precision detection results and enhancing the precision of comprehensive detection results.Secondly,an optimal fusion arithmetic of multidimensional position based on the random weighting estimation was put forward.Research results show that the data fusion method based on sample mean random weighting estimation is better than that of the traditional information fusion method.