Multitarget tracking (MTT) refers to the problem of jointly estimating the number of targets
and their states or trajectories from noisy sensor measurements. MTT has a long history …

This paper considers the problem of indistinguishable group target tracking, where the
individual targets within a group are closely spaced and resolvable, move in a coordinated …

In transportation networks, the majority of moving vehicles are route-based or trajectory-
scheduled. Taking advantage of such predictive information generally produces more …

This article investigates the distributed nonlinear and linear Kalman filters for dynamical
systems with state equality constraints via a sensor network, where each sensor estimates …

Only a few publications exist at present on heterogeneous track-to-track fusion (T2TF). A
common limitation of the current work on heterogeneous T2TF is that the cross covariance …

Collision Avoidance (COLAV) for autonomous ships is challenging since it relies on track
estimates of nearby obstacles which are inherently uncertain in both state and intent. This …

Proportional navigation (PN) guidance laws have been commonly applied to homing missile
systems guiding the missile to its target. When the target is stationary and its location is …

A sequential probability ratio test (SPRT) is introduced as a track management (TM)
mechanism for the joint probabilistic data association (JPDA) multitarget tracking algorithm …

Monostatic and bistatic position and Doppler measurements used in radar and sonar
systems are nonlinear transformations of a Cartesian state. These nonlinearities pose a …

Radar and communication system (RadComm) spectrum sharing has received considerable
attention from the research community in recent years. This paper considers the distributed …