Abstract
In the context of target tracking, the Posterior Cramér–Rao Lower Bound (PCRLB) provides a powerful tool to assess the optimal achievable accuracy of target state estimation. In the bistatic configuration both geometry factors and transmitted waveform play an important role in the estimation accuracy. In this paper, we derive the PCRLB on sequential target state estimation accuracy in a bistatic radar tracking scenario, in the most general case of uncertain target measurements, i.e. when the probability of detection is less than one and the probability of false alarm is greater than zero. Then, we propose a PCRLB-based algorithm for selecting the best transmitter of opportunity for the tracking of a radar target in a multisensor Passive Coherent Location (PCL) system.
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.
