Abstract
The high pulse repetition frequency (HPRF) mode is widely adopted in the airborne pulse Doppler (PD) radar system, which results in problem that the range measurement of target is ambiguous. In this paper, a particle filter (PF) based method is proposed for target tracking with the HPRF radar in clutter. The proposed method makes full use of the PF that each particle represents a possible target state, and avoids the problem of multiple possible measurements by updating target state with the ambiguous measurement directly. Simulation results demonstrate that the proposed method can estimate target state as well as the pulse interval number (PIN) simultaneously, and succeeds in target tracking with the HPRF radar in dense clutters. Simulation results also show that the performance of the proposed method is superior to that of multiple hypothesis (MH) methods in dense clutters. (5 pages)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.