Decorrelation-Based Data Association Algorithm for Heterogeneous Sensors System
Yun Kong, Hua Bing Wang, Xin Feng, Chuan Guo Lu, Rong Bo Ke, Guo Sheng Chen · Applied Mechanics and Materials · 2014
A decorrelation-based data association algorithm for heterogeneous sensors system is proposed, which first fusions multiple measurements to estimate a target position using the pseudo linear estimation method, then a decorrelation-based data association model is built and the unscented transform is proposed to compute the mutual covariance between measurements and the pseudo ones. Meanwhile, taking the real-time problem into consideration, when calculating the cross covariance, the minimum skew simplex sample is used to reduce the complexity of the algorithm.