The application of dummy noise adaptive Kalman filter in underwater navigation
Song Li, Chunhua Zhang, Jingde Luan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
The track of underwater target is easy to be affected by the various by the various factors, which will cause poor performance in Kalman filter with the error in the state and measure model. In order to solve the situation, a method is provided with dummy noise compensative technology. Dummy noise is added to state and measure model artificially, and then the question can be solved by the adaptive Kalman filter with unknown time-changed statistical character. The simulation result of underwater navigation proves the algorithm is effective.