Maneuvering target tracking algorithm based on converted measurement and input estimation

An overall adaptive tracking algorithm is proposed to estimate state variables of maneuvering target. Combining with unbiased converted measurement (UCM) technique to convert polar measurements to Cartesian coordinate, input estimation (IE) can be manipulated in polar coordinate. After assuming the acceleration within detection window is linear step distributed, the derivation of relevant model is made, so a single input estimator can track variable maneuver level. Simulation results for different target profiles are included. Compared with the interactive multiple model algorithm which is based on concurrent working of multiple filters, the scheme is comparable in terms of tracking performance while the computation complexity can be significantly reduced, so the proposed algorithm is suitable to application with high demand for performance and efficiency, which makes it a promising algorithm. ©, 2015, Chinese Institute of Electronics. All right reserved.