Maneuvering weak target tracking using wavelet transform

The difficulty for tracking maneuver target is to decide whether a maneuver occurs and when the target begins to maneuver. Since target tracking is a real. time problem, the crucial factor is to detect the target maneuver as accurately and quickly as possible. A new approach for the target maneuver detection is presented, especially for the weak target maneuver detection in heavy noise. The algorithm is based on the criterion where the maneuver detection delay is made minimum, which replaces the original measurements by those of the average interpolation to reduce the delay to avoid tracker divergence, and uses wavelet transforms to increase the probability of detection. Simulation results demonstrate the superior performance of our scheme especially for tracking weak maneuvering targets in heavy noise