Electronics Optics & Control, Volume. 25, Issue 6, 35(2018)

Maneuvering Target Tracking Algorithm Based on IMM-Ultimate Iterative UFIR

WU Qinghai1 and QU Zhaoyang2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    To improve the precision of maneuvering target tracking under non-Guassian noise condition, a tracking algorithm based on Interactive Multi-Model ultimate iterative Unbiased Finite Impulse Response (IMM-ultimate iterative UFIR) filter is proposed. The algorithm takes the ultimate iterative UFIR, which has lower sensitivity to errors in the noise statistics, as its sub-filter to estimate the state of each model, and the state of maneuvering target is obtained by fusing the states of multiple models.Simulation results show that: under complex noise conditions, IMM-iterative UFIR has a higher precision than that of the Interactive Multiple Model Kalman Filter (IMM-KF), and less calculation cost than that of IMM-PF, which has a good balancing between the tracking precision and calculation amount.

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    WU Qinghai, QU Zhaoyang. Maneuvering Target Tracking Algorithm Based on IMM-Ultimate Iterative UFIR[J]. Electronics Optics & Control, 2018, 25(6): 35

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    Paper Information

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    Received: Apr. 28, 2017

    Accepted: --

    Published Online: Jan. 20, 2021

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2018.06.008

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