Airborne Single Observer Passive Tracking Algorithm Based on Improved CS Model

摘要

Aim at solving the problem that the target may exceed acceleration limit, a new passive tracking filtering algorithm based on "Current" Statistical (CS) model has been proposed. By designing nonlinear fuzzy membership functions, the new "Current" Statistical model filtering algorithm can adaptively adjust the acceleration upper and lower of CS model. Monte Carlo simulations of maneuvering targets show that the NCS algorithm has a better performance than the traditional CS algorithm.