Target Tracking with Passive Sensors Using CKF

Nowadays, stealth air platform design and RF jamming technologies have been improving rapidly. For this reason passive illuminator opportunity (digital TV) can be used for detection and tracking of low RCS targets and protection against jamming. In this paper, CKF's performance evaluation has been studied, which is a relatively new filter for target tracking. Based on passive illuminator opportunity approach, multistatic passive radar tracking simulation is done using trajectory of a real airborne target. CKF's performance is compared with EKF and UKF which are frequently used in literature. For comparison ARPE (Average Relative Position Error) parameter is used. This study gives helpful results to understand which Kalman filter is more efficient for airborne target tracking applications.