Improved Gaussian mixture probability hypothesis density smoother
An improved GM-PHD smoother is proposed. The modified survival probability used in backward smoothing is developed. A modified backward corrector based on the original formulation is presented. Our algorithm overcomes the existing drawbacks in standard GM-PHD smoother. The superiority of our algorithm has been verified by simulation results.
gaussian mixture probability hypothesis density smoothing filtering target tracking