Fast sequential Monte Carlo PHD smoothing

This paper proposes a means to achieve tractable particle PHD smoothing through the use of an augmented state space label which tracks the evolution of particles over time. The use of the label reduces the forward-backward particle smoother from quadratic to linear complexity in the number of targets allowing smoothing to be carried out on a large number of targets as well as in the presence of moderate and high levels of clutter.