ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.014
Multi-step Identification Algorithm for the Multi-sensor Target Tracking System
Abstract— For a multi-sensor target tracking system, when the measurement noise of all the sensors are
uncertain, this paper presents a kind of algorithm to estimate the parameters and noise statistics information.
This algorithm consists of 2 steps, the first step is to use the recursive least squares method to get the
estimations of the model parameters, the second step is to use the correlation function method to get the
estimations of the noise statistics. The convergence of this algorithm is proved by mathematical method. An
example is given to show the effectiveness of this algorithm.
Index Terms— multi-sensor, target tracking system, measurement noise, recursive least squares method, correlation function method
Li Heng, Chen Jia-qi, Wang Hao, Ni Jin-ying
School of Computer and Information Engineering, Fuyang Normal University, CHINA
Cite: Li Heng, Chen Jia-qi, Wang Hao, Ni Jin-ying, "Multi-step Identification Algorithm for the Multi-sensor Target Tracking System," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 86-89, Beijing, 25-27 June, 2017.