Title :
On optimal asynchronous track fusion
Author :
Alouani, A.T. ; Rice, T.R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee Technol. Univ., Cookeville, TN, USA
Abstract :
In practice, multisensor systems use dissimilar sensors having different data rates. Such sensors may also have inherent delays as well as communication delays. In the existing approaches to track fusion, the common assumption used is that the sensors are synchronous and have no communication delays. This paper presents a fusion architecture that combines tracks provided by different sensors that have different sampling rate and communication delays. By providing two way communications between the sensor platforms and the track fusion center, it is shown that the proposed asynchronous track fusion architecture provides a solution that is optimal in the mean square sense. Simulations are presented to compare the performance of the proposed track fusion with its sequential processing counterpart
Keywords :
delays; optimisation; sensor fusion; target tracking; tracking; Kalman filter; asynchronous track fusion; communication delays; fusion architecture; inherent delays; multisensor systems; optimisation; sampling rate; target tracking; Delay; Differential equations; Gaussian processes; Multisensor systems; Sampling methods; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Stochastic processes; Target tracking;
Conference_Titel :
Data Fusion Symposium, 1996. ADFS '96., First Australian
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3601-1
DOI :
10.1109/ADFS.1996.581098