Study on the Filtration and Forecast of Helicopter Tracks under Color Noise Background

According to the charactoristics presented by armed helicopters during cruising or searching for ground targets, this paper establishes the covariance stationary random model of helicopter tracks. It decorrelates the measure noise by doing a online estimation of color noise parameters and filters in kalman method and forecasts helicopter tracks. Finally, it makes the simalating study on helicopter tracks under color noise condition and a comparison between the simulating results under color noise condition and one under white noise condition. The resuft shows the method choosing color noise condition this a complet decorrelation capability and can raise the tracking accuracy.