Abstract
In bearings-only passive target tracking, the state of the target has a nonlinear relation with the bearings measurements. Existing methods are mainly focus on the process of linearization. However, in this process, precision decreasing is obviously unavoidable and even filter divergence will be occur so as to losing the target. Therefore a new algorithm is proposed in the paper. The state of the target is approximately estimated by least squares at first which is taken as pseudo measurements for kalman filter, and then IMM algorithm is employed for maneuvering target tracking.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
