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Angle estimation error reduction method using weighted IMM and least squares

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  • Robot and Applications
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Abstract

This paper proposes a new approach to reduce target estimation error, especially the measurement angle, when applied to medium- and long-range surveillance radars. If the target does not maneuver or change heading direction for a certain time interval, the predicted angle from the interacting multiple model (IMM) algorithm based on previous track information can be used to reduce the angle estimation error. In addition, the least squares algorithm should be used to calculate the accurate measurement angle. The proposed method, which is weighted IMM (WIMM), including the least squares, is tested using two simulation scenarios: a scenario with a non-maneuvering target and a scenario with a maneuvering target. The result shows that the new generated angle solution with the predicted azimuth and the measured azimuth works properly in these two scenarios and performs better than IMM.

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Author information

Authors and Affiliations

  1. 3rd Research and Development Institute, Agency for Defence Development, Yuseong, P.O.Box 35-32, Daejeon, 305-600, Korea

    Seong Hee Choi

  2. Department of Electronic Systems Engineering, Hanyang University, Sa-Dong 1271, Ansan, Kyunggi-do, 425-791, Korea

    Taek Lyul Song

Authors
  1. Seong Hee Choi
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  2. Taek Lyul Song
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Corresponding author

Correspondence to Taek Lyul Song.

Additional information

Recommended by Associate Editor Chang Kyung Ryoo under the direction of Editor Fuchun Sun.

Seong Hee Choi received his M.S. degree in Electrical Engineering from Hanyang University in 2002. He works for the Agency of Defense Development. His research interests include data processing of radar systems, especially multiple target tracking and data association.

Taek Lyul Song received the Ph.D. degree in Aerospace Engineering from University of Texas at Austin in 1983. He is a Professor in the Department of Electronic Systems Engineering, Hanyang University. His research interests include target state estimation, guidance, navigation and control.

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Choi, S.H., Song, T.L. Angle estimation error reduction method using weighted IMM and least squares. Int. J. Control Autom. Syst. 15, 354–361 (2017). https://doi.org/10.1007/s12555-015-0175-z

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  • DOI: https://doi.org/10.1007/s12555-015-0175-z

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