Two-stage Kalman estimator using advanced circular prediction for maneuvering target tracking

Tetsuya Kawase; Hideshi Tsurunosono; Naoki Ehara; Iwao Sasasc

doi:10.1109/ICASSP.1998.681647

Two-stage Kalman estimator using advanced circular prediction for maneuvering target tracking

Tetsuya Kawase, Hideshi Tsurunosono, Naoki Ehara, Iwao Sasasc

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

21 Citations (Scopus)

Abstract

Maneuvering targets are difficult to track with the Kalman filter since the target model of the tracking filter might not fit the real target trajectory and the statistical characteristics of the target maneuver are unknown in advance. In order to track such a heavy maneuvering target, the estimation of the target turn-direction is necessary. A two-stage estimator using advanced circular prediction which considers the target turn-direction is proposed for maneuvering target tracking. Simulation results are given for a comparison of the performance of our proposed scheme with that of conventional tracking filters.

Original language	English
Title of host publication	Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
Pages	2453-2456
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.1998.681647
Publication status	Published - 1998
Externally published	Yes
Event	1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998 - Seattle, WA, United States Duration: 1998 May 12 → 1998 May 15

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	4
ISSN (Print)	1520-6149

Conference

Conference	1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
Country/Territory	United States
City	Seattle, WA
Period	98/5/12 → 98/5/15

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.1998.681647

Cite this

Kawase, T., Tsurunosono, H., Ehara, N., & Sasasc, I. (1998). Two-stage Kalman estimator using advanced circular prediction for maneuvering target tracking. In Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998 (pp. 2453-2456). Article 681647 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 4). https://doi.org/10.1109/ICASSP.1998.681647

Two-stage Kalman estimator using advanced circular prediction for maneuvering target tracking. / Kawase, Tetsuya; Tsurunosono, Hideshi; Ehara, Naoki et al.
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998. 1998. p. 2453-2456 681647 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kawase, T, Tsurunosono, H, Ehara, N & Sasasc, I 1998, Two-stage Kalman estimator using advanced circular prediction for maneuvering target tracking. in Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998., 681647, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 4, pp. 2453-2456, 1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998, Seattle, WA, United States, 98/5/12. https://doi.org/10.1109/ICASSP.1998.681647

Kawase T, Tsurunosono H, Ehara N, Sasasc I. Two-stage Kalman estimator using advanced circular prediction for maneuvering target tracking. In Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998. 1998. p. 2453-2456. 681647. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.1998.681647

Kawase, Tetsuya ; Tsurunosono, Hideshi ; Ehara, Naoki et al. / Two-stage Kalman estimator using advanced circular prediction for maneuvering target tracking. Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998. 1998. pp. 2453-2456 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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abstract = "Maneuvering targets are difficult to track with the Kalman filter since the target model of the tracking filter might not fit the real target trajectory and the statistical characteristics of the target maneuver are unknown in advance. In order to track such a heavy maneuvering target, the estimation of the target turn-direction is necessary. A two-stage estimator using advanced circular prediction which considers the target turn-direction is proposed for maneuvering target tracking. Simulation results are given for a comparison of the performance of our proposed scheme with that of conventional tracking filters.",

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AB - Maneuvering targets are difficult to track with the Kalman filter since the target model of the tracking filter might not fit the real target trajectory and the statistical characteristics of the target maneuver are unknown in advance. In order to track such a heavy maneuvering target, the estimation of the target turn-direction is necessary. A two-stage estimator using advanced circular prediction which considers the target turn-direction is proposed for maneuvering target tracking. Simulation results are given for a comparison of the performance of our proposed scheme with that of conventional tracking filters.

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Two-stage Kalman estimator using advanced circular prediction for maneuvering target tracking

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