The Research of Multi-Sonar Data Fusion in Naval Fleet
Xiong Liu, Fengju Kang, Lin-Fang Zhang · Fire Control and Command Control · 2007
With analysis of Kalman Filter (KF) and Adaptive Kalman Filter (AKF), the capability between them is compared by simulation experiments. Considering the measurement properties of different sonar and the underwater targets' characteristics, the data fusion method of naval fleet is proposed. Choose the simple convex-combination algorithm as the track fusion algorithm in naval fleet cooperative anti-submarine, comparing and researching the fusion result of multi-sonar and the simple cross-orientation. The simulation result presents that AKF is better at targets tracking than KF, meanwhile, multi-sonar data fusion is better than simple cross-orientation, and the track of data fusion is fit well for the real.