[1] Hoffmann C,Dang T. Cheap joint probabilistic data association filters in an interacting multiple model design [C]// Multi-sensor Fusion and Integration for Intelligent Systems,Heidelberg,Germany,September 3-6,2006,06:197-202.
[2] Mahler R. Statistical Multi-source Multi-target Information Fusion [M]. Boston:Artech House,2007:5-11.
[3] Mahler R,Vo Ba-Tuong,Vo Ba-Ngu. CPHD filtering with unknown clutter rate and detection profile [J]. IEEE Transactions on Signal Processing(S4244-0567),2011,59(8):3497-3513.
[4] Mahler R. Multi-target Bayes filtering via first-order multi-target moments [J]. IEEE Transactions on Aerospace and Electronic Systems(S0018-9251),2003,39(4):1152-1178.
[5] Mahler R. PHD filters of higher order in target number [J]. IEEE Transactions on Aerospace and Electronic Systems (S0018-9251),2007,43(4):1523-1543.
[6] Vo Ba-Tuong,Vo Ba-Ngu,Cantoni A. The cardinality balanced multi-target multi-Bernoulli filter and its implementations [J]. IEEE Transactions on Signal Processing(S4244-0567),2009,57(2):409-423.
[8] FAN Xiaojun,LIU Feng,QIN Yong,et al. Current statistic model and adaptive tracking algorithm based on strong tracking filter [J]. Chinese Journal of Electronics,2006,34(6):81-84.
[9] LIU Baoguang,TAO Qingchang,PAN Minghai. An improved tracking algorithm based on current statistical model for highly maneuvering targets [J]. Radar & Ecm,2012,32(1):28-30.
[10] HAO Yanling,MENG Fanbin,WANG Suxin,et al. A new GM-PHD filter algorithm for multiple maneuvering targets tracking [J]. Journal of Shanghai Jiaotong University,2010,44(7):873-877.
[11] ZHOU Weidong,ZHANG Hebing,LIAO Chengyi. CPHD filter algorithm for multiple maneuvering target tracking with multi-sensors [J]. Journal of Huazhong University of Science and Technology:Natural Science Edition,2012,40(12): 70-74.