Multisensor-Based Maneuvering Target Tracking Algorithm under Non-Gaussian Measurement Noise

Abstract The UAVs have become a huge threat in the battlefield. excellent maneuverability makes them competent for actual combat operations such as investigation and strike. Therefore, accurate tracking of is critical. Centralized radar/IR fusion system has been widely concerned to track because complementary characteristics between these two sensors. appearance non-Gaussian measurement noise produces negative impact on accuracy. This paper proposes novel IMM-CMCSCKF algorithm which can improve accuracy maneuvering target under noise. heterogeneous measurements from radar IR are firstly fused. Then, CMCSCKF presented based MCC deal with To accuracy, embed into IMM algorithm. Numerical simulation verifies effectiveness proposed IMM-CMCSCKF.