Iterative filter with finite measurements for suddenly maneuvering targets

Shunyi Zhao, Choon Ki Ahn, Yuriy S. Shmaily, Peng Shi, Ramesh K. Agarwal

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


The finite impulse response (FIR) structure is extended to Markov linear systems (JMLSs) based on the optimal unbiased FIR filters developed for a general time-variant state-space system and the IMM algorithm. The proposed algorithm degenerates to the IMM approach as the estimation horizon length approaches infinity. Researchers introduce the IMM filter briefly and present the problem ormulation. The researchers demonstrate that it is known that the optimal Bayesian estimation for JMLSs in the minimum mean-square error sense is practical intractable because its computational complexity grows exponentially with the time step.

Original languageEnglish
Pages (from-to)2316-2322
Number of pages7
JournalJournal of Guidance, Control, and Dynamics
Issue number9
Publication statusPublished - 2017

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea funded by the Ministry of Science, ICT and Future Planning under Grant NRF-2017R1A1A1A05001325.

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Aerospace Engineering
  • Space and Planetary Science
  • Electrical and Electronic Engineering
  • Applied Mathematics


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