ADS and multi-radar track fusion algorithm based on Wavelet Neural Networks
Wenhao Wu · 2011
Based on the distributed multi-sensor track fusion system,the problem of Automatic Dependent Surveillance(ADS) and multi-radar track fusion is studied with Wavelet Neural Networks(WNNs).The local estimation errors and position reporting period are introduced to WNNs which calculate the sensor reliability in real time.Then the system uses the reliability to fuse and give out the synthetic track.Simulation results show that,this algorithm has an outstanding performance and robustness over BS algorithm,and improves the integrality of surveillance.