Abstract
The measurements from multistatic radar systems are typically subjected to complicated data association, noise corruption, missed detection, and false alarms. Moreover, most of the current multistatic Doppler radar-based approaches in multitarget tracking are based on the assumption of known detection probability. This assumption can lead to biased or even complete corruption of estimation results. This paper proposes a method for tracking multiple targets from multistatic Doppler radar with unknown detection probability. A closed form labeled multitarget Bayes filter was used to track unknown and time-varying targets with unknown probability of detection in the presence of clutter, misdetection, and association uncertainty. The efficiency of the proposed algorithm was illustrated via numerical simulation examples.
Highlights
Initiated from the 1930s from a very simple device for aircraft detection, the radar has been developed into complicated systems in both civilian applications and modern warfare for the purposes of prevention as well as interception strategies [1]
A passive multistatic radar system is realized with either one receiver and multiple transmitters or a single transmitter combined with multiple radar receivers
We considered a multistatic passive Doppler radar system consisting of one cooperative transmitter and two spatially stationary distributed receivers
Summary
Initiated from the 1930s from a very simple device for aircraft detection, the radar has been developed into complicated systems in both civilian applications and modern warfare for the purposes of prevention as well as interception strategies [1]. In multitarget tracking, there are generic challenges, such as unknown and randomly time-varying number of the targets, detection uncertainty, clutter, and data association uncertainty [6], as well as nonlinearity and low observability of the Doppler measurement [7,8]. Based on the RFS approach, this paper proposes a solution to the challenges in using Doppler-only measurement for multiple marine vessels tracking with unknown detection parameter a priori in a timely manner. This is an extension of our previous work, reported in Reference [39]. Validation of the proposed solution is illustrated by numerical simulations on marine ships, followed by some concluding remarks
Sign-in/Register to view highlights & summary 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.
