TY - JOUR ID - 146179 TI - Bearing only Tracking for Maneuver Target using Nonlinear Second-Order Markov Model JO - Space Science and Technology JA - JSST LA - en SN - 2008-4560 AU - Ebrahimi, Mohsen AU - Ehyaei, Amir Farhad AD - M.Sc,‎., Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran AD - Associate Professor, Department of Electrical Engineering, Faculty of Technical and Engineering, Imam Khomeini International University, Qazvin, Iran Y1 - 2022 PY - 2022 VL - 15 IS - 3 SP - 11 EP - 22 KW - Target Tracking KW - IMM method KW - Markov model KW - Extended Kalman Filter DO - 10.30699/jsst.2022.1361 N2 - In this paper, in addition to investigation and analyzing the dynamic model of a maneuver target, a new method based on the Interaction Multiple Model (IMM) method is presented to solve the tracking problem in presence of measurement noise. In this procedure, two models are used along with an extended Kalman filter for each model, for estimation of the states related to stochastic target model. To this end, a specific weight is calculated adaptively for each model and the final estimation of the target is obtained from the weighted sum of the modes related to each model. In this paper, second order Markov models are used to better describe the system behavior which leads to a decrease in the number of required motion models. This means that the previous two models are used to decide on the next model, and a much better algorithm is provided than the first-order IMM algorithm. UR - https://jsst.ias.ir/article_146179.html L1 - https://jsst.ias.ir/article_146179_bd3b2772e35d3c424b275a6d01bba2ab.pdf ER -