To compensate for the shortcomings of a single data source and ensure the stability and reliability of naviga-tion signals in different navigation environments,a ship navigation signal filtering method based on sea observation values is studied.In ship navigation,a navigation signal model is established based on observations such as latitude,longitude,ocean current components,speed,heading,and angular velocity changes.Using the improved quantum particle swarm optimiza-tion algorithm,the observation noise covariance matrix of the Kalman filtering algorithm and the noise covariance matrix of the ship navigation signal model are optimized to obtain the improved Kalman filtering algorithm.Combined with the ship navigation signal model,the filtering estimation results of the ship navigation signal are obtained.The experimental results demonstrate that this method can effectively filter and estimate ship navigation signals,improving the quality of ship naviga-tion signals;The improved ship navigation trajectory of this method is very close to the expected trajectory,indicating that the improved ship navigation signal filtering effect of this method is better.
关键词
海上观测值/舰船导航信号/滤波方法/量子粒子群/噪声协方差/卡尔曼滤波
Key words
observations at sea/ship navigation signal/filtering method/quantum particle swarm/noise covari-ance/Kalman filtering
维普
万方数据