Modification of Standard Kalman Filter Based on Augmented Input Estimation and Deadbeat Dissipative FIR Filtering

This paper presents modification of standard Kalman filter (KF) based on augmented input estimation (AIE) and deadbeat dissipative FIR filtering (DDFF) for maneuvering target tracking. Although KF ...

[1]  Peng Shi,et al.  Deadbeat Dissipative FIR Filtering , 2016, IEEE Transactions on Circuits and Systems I: Regular Papers.

[2]  Choon Ki Ahn,et al.  Strictly passive FIR filtering for state-space models with external disturbance , 2012 .

[3]  Wook Hyun Kwon,et al.  Optimal FIR filters for time-varying state-space models , 1990 .

[4]  Tae Kyung Sung,et al.  A modified input estimation technique using pseudoresiduals , 1994 .

[5]  James Lam,et al.  Robust reliable dissipative filtering for discrete delay singular systems , 2012, Signal Process..

[6]  Y. Chan,et al.  A Kalman Filter Based Tracking Scheme with Input Estimation , 1979, IEEE Transactions on Aerospace and Electronic Systems.

[7]  C. Price An analysis of the divergence problem in the Kalman filter , 1968 .

[8]  Yingmin Jia,et al.  Gaussian mixture PHD filter for jump Markov models based on best-fitting Gaussian approximation , 2011, Signal Process..

[9]  Choon Ki Ahn,et al.  A new solution to the induced l∞ finite impulse response filtering problem based on two matrix inequalities , 2014, Int. J. Control.

[10]  H. Heffes The effect of erroneous models on the Kalman filter response , 1966 .

[11]  Fei Liu,et al.  Minimum variance unbiased FIR filter for discrete time-variant systems , 2015, Autom..

[12]  Hongwei Liu,et al.  Switched Kalman filter-interacting multiple model algorithm based on optimal autoregressive model for manoeuvring target tracking , 2015 .

[13]  James Lam,et al.  α-Dissipativity analysis of singular time-delay systems , 2011, Autom..

[14]  M. Tahk,et al.  Generalized input-estimation technique for tracking maneuvering targets , 1999 .

[15]  Myo-Taeg Lim,et al.  Multi-target FIR tracking algorithm for Markov jump linear systems based on true-target decision-making , 2015, Neurocomputing.

[16]  Hamid Khaloozadeh,et al.  Modified input estimation technique for tracking manoeuvring targets , 2009 .

[17]  Wook Hyun Kwon,et al.  A receding horizon Kalman FIR filter for discrete time-invariant systems , 1999, IEEE Trans. Autom. Control..

[18]  Tan-Jan Ho,et al.  A switched IMM-Extended Viterbi estimator-based algorithm for maneuvering target tracking , 2011, Autom..

[19]  Yuriy S. Shmaliy,et al.  Unbiased FIR Filtering of Discrete-Time Polynomial State-Space Models , 2009, IEEE Transactions on Signal Processing.

[20]  Peng Shi,et al.  Two-Dimensional Dissipative Control and Filtering for Roesser Model , 2015, IEEE Transactions on Automatic Control.

[21]  Wook Hyun Kwon,et al.  $cal H_infty$FIR Filters for Linear Continuous-Time State–Space Systems , 2006, IEEE Signal Processing Letters.

[22]  P. Bogler Tracking a Maneuvering Target Using Input Estimation , 1987, IEEE Transactions on Aerospace and Electronic Systems.

[23]  Ba-Ngu Vo,et al.  A Consistent Metric for Performance Evaluation of Multi-Object Filters , 2008, IEEE Transactions on Signal Processing.

[24]  R. Fitzgerald Divergence of the Kalman filter , 1971 .

[25]  Frank Dellaert,et al.  EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence , 2004, Machine Learning.