Adaptive Weighted Passive Location Based on Time Series
Hongjun Wang · Jisuanji fangzhen · 2004
Modern sea battle's electromagnetic surroundings become more and more complicated.Though using Kalman filter to estimate location and track with bearing only measurements is very conceal, but fixed weight fusion algorithm has some disadvantages in complicated sea battle field. According to the characteristics of data fusion based bearing only measurements, this paper uses time series to estimate sensors' variances and adjust their weight. The simulation results show that in contrast to fixed weight algorithm, target-tracking accuracy can be greatly improved.It has some meaning for improving passive location's practicality and adaptability.