The Application of Dummy Noise Adaptive Kalman Filter in Underwater Navigation
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.
underwater navigation Kalman filter dummy noise compensative technology
Li Song Zhang Chun-Hua Luan Jmgde
Navy Academy of Armament 61741 UnitPLA Beijing, China Navy Academy of Armament NAA Beijing, China
国际会议
2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)
长沙
英文
238-240
2010-12-14(万方平台首次上网日期,不代表论文的发表时间)