Due to the reasons of sensors in itself and the communication delays, the research of the asynchronous multisensor data fusion problem is more practical than that of synchronous senosrs. Based on minimizing the trace of the fusion error covariance, the asynchronous multisensor data fusion algorithm is presented. The multisensor track fusion is valid for asynchronous sensors as well as synchronous sensors. The algorithm makes up for the drawback that asynchronous fusion is limited to sneor-to-sensor data fusion. Significantly, the generalized multisensor asynchronous sensor fusion model is established. The analyse of algorithm in the theoretical deduction is presented. The format of algorithm is concise and applicable. Finally, simulation results show the asynchronous mulitsensor fusion is effective and the performance of the algorithm is superior to that of single sensor.
[1]
Yunmin Zhu,et al.
The optimality for the distributed Kalman filtering fusion with feedback
,
2001,
Autom..
[2]
Ali T. Alouani,et al.
On optimal synchronous and asynchronous track fusion
,
1998
.
[3]
Ali T. Alouani,et al.
On optimal asynchronous track fusion
,
1996,
Proceeding of 1st Australian Data Fusion Symposium.
[4]
Jin Yi.
Asynchronous Suboptimal Fusion of Correlated Target Tracks From Multisensors
,
2003
.
[5]
W. Dale Blair,et al.
Least-squares approach to asynchronous data fusion
,
1992,
Defense, Security, and Sensing.