A concept of target perceivability is introduced, which is related to such
concepts as target existence and target observability. Its probability prov
ides a basis for an integrated approach to track initiation, confirmation,
termination, and refinement of track maintenance algorithms. This paper pro
poses the concepts of target perceivability and presents a recursion of its
probability based on hidden Markov models (HMMs) and their applications to
tracker analysis, development, and design, in particular, in the context o
f the PDA method. Specifically, several important quantities and track life
are analyzed; a perceivability-based probabilistic approach to track confi
rmation and termination is proposed; two versions of perceivability-based P
DA trackers are presented. Simulation results are provided to demonstrate t
heir performance.