Tracking maneuvering target based on neural fuzzy network with incremental leaning

The scheme of tracking maneuvering target based on neural fuzzy network with increased leaning is proposed. When tracked target maneuver occurs, the scheme can detected maneuver immediately to estimate the maneuver value accurately, then the tracking filter can be compensates correctly and duly by the estimated the maneuver value and system covariance. When environment changed, neural fuzzy network with increased leaning can find its optimal structure and parameters automatically to adapt to changed environment, and always produces estimated output very close to the true maneuver value that lead to good tracking performance and avoid miss-tracking when tracked target maneuver occurs. Results of simulation show that the performance is superior to the traditional schemes and the scheme can fit changed dynamic environment to track maneuver target accurately and duly.