Adaptive algorithm for multisensor track fusion with feedback architecture

The adaptive fusion algorithm, in the multisensor data fusion system with distributional structure, can select different methods based on the comparison between two distance measurements defined in advance and thresholds of logic tree. It may satisfy the characteristic of the changed fusion system and balance the contradiction between the fusion precision and computational burden. The feedback architecture may enhance the tracking performance of local sensor. Synthesized the merit of two methods above, the authors put forward a new method for multisensor track fusion with feedback information, and the concrete process of the track fusion algorithm is introduced in the situation of asynchronous in detail. The simulation result illustrates that this new algorithm approaches the Weighted Covariance Fusion (WCF) method in the fusion precision, with the less computational burden.