• Electronics Optics & Control
  • Vol. 20, Issue 7, 99 (2013)
LI Ke, CHANG Guobin, LI Shengquan, and JIN Jihang
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  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2013.07.023 Cite this Article
    LI Ke, CHANG Guobin, LI Shengquan, JIN Jihang. Derivative Free IEKF Based on Secant Method[J]. Electronics Optics & Control, 2013, 20(7): 99 Copy Citation Text show less

    Abstract

    It is always hard to derive Jacobian matrix of some kind of nonlinear measurement functions in nonlinear filtering problems.Thusthe application of the iterated extended Kalman filter (IEKF) is much limited.The IEKF is derived through the GaussNewton method in this paperand a new filtering method called derivative free extended Kalman filter (DFIEKF) is presented through introducing secant method into IEKF.In the new method Jacobian matrix is substituted by the secant slope matrixwhich makes it more applicable.The results of digital simulations validate that the precision of DFIEKF is better than EKF and UKFand is slightly better than IEKF.
    LI Ke, CHANG Guobin, LI Shengquan, JIN Jihang. Derivative Free IEKF Based on Secant Method[J]. Electronics Optics & Control, 2013, 20(7): 99
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