1. R. Mahler, “PHD filters for nonstandard target,” Proc. of the 12th Conf. on Information Fusion, pp. 915–921, 2009.
2. W. L. Li, Y. M. Jia, J. P. Du, and F. S. Yu, “Gaussian mixture PHD smoother for jump Markov models in multiple maneuvering targets tracking,” Proc. of American Control Conf., pp. 3025–3029, 2011.
3. K. Panta, D. E. Clark, and B. N. Vo, “Data association and track management for the Gaussian mixture probability hypothesis density filter,” IEEE Trans. on Aerospace and Electronic Systems, vol. 45, no. 3, pp. 1003–1016, July 2009.
4. R. Mahler, Statistical Multisource-multitarget Information Fusion, Artech House, Norwood, 2007.
5. B. N. Vo and W. K. Ma, “The Gaussian mixture probability hypothesis density filter,” IEEE Trans. on Signal Processing, vol. 5, no. 11, pp. 3291–3304, November 2006.