An improved robust fusion method based on density estimation
Yunfei Guo, Anke Xue, Yuesong Lin, Dong‐Liang Peng · 2008
To solve the uncertain information fusion problem, we define the robust performance of the fusion algorithm and propose an improved density estimation based robust fusion algorithm. First, the mean-shift procedure is employed in detecting the dominant mode of the information density function; second, the max iterative time is calculated according to the real time request; last, all the valid data in the dominant field after the max iterative time are fused. The presented algorithm is compared with the weighted fusion method and the density estimation fusion technique in two simulation cases. The results show that it is more accurate and robust and satisfies the system real time request.