Coordinated Detection De-biased Fusion Algorithm Based on H∞ Filter

ZOU Zhen; HE Feng-shou; HE Ke-feng

doi:10.3969/j. issn. 1671 -637x. 2015.12.009

[5] ZHOU Y F, LEUNG H, BLANCHETTE M. Sensor alignment with Earth-Centered Earth-Fixed(ECEF)coordinate system［J］．IEEE Transactions on Aerospace and Electronic System, 1999, 35（2）: 410-417.

[6] BORDONARO S V, WILLETT P, BAR-SHALOM Y. Unbiased tracking with converted measurements［C］//IEEE Radar Conference, 2012: 741-745.

[7] SYCARA K, GLINTON R, YU B, et al. An integrated approach to high level information fusion［J］．Information Fusion, 2009, 10（1）: 25-50.

[8] SUN S L, DENG Z L. Multi-sensor optimal information fusion Kalman filter［J］. Automatica, 2004, 40(6): 1017-1023．

[12] SIMON D. Optimal state estimate:Kalman, H∞, and nonlinear approaches［M］. New Jersey: Wiley, 2006.

[13] DING Q, ZHONG M Y. On designing fault detection H∞filter for Markovian jump linear systems with polytrophic uncertainties［J］. International Journal of Innovative Computing, Information and Control, 2010, 6(3A):995-1004.

[14] KULATUNGA H, KADIRKAMANATHAN V. Multiple H∞filter-based deterministic sequence estimation in non-Gaussian channels［J］. IEEE Signal Processing Letters, 2006, 13（4）:185-188.

[15] FU X Y, JIA Y M. H∞ filtering with combined linear and nonlinear constraints［J］. IEEE Transaction on Aerospace and Electronic Systems, 2012, 48(4):478-492.

CLP Journals