Abstract
In airborne tracking, the blind Doppler makes the target undetectable, resulting in tracking difficulties. In this paper, we studied most possible blind-Doppler cases and summed them up into two types: targets’ intentional tangential flying to radar and unintentional flying with large tangential speed. We proposed an interacting multiple model (IMM) particle filter which combines a constant velocity model and an acceleration model to handle maneuvering motions. We compared the IMM particle filter with a previous particle filter solution. Simulation results showed that the IMM particle filter outperforms the method in previous works in terms of tracking accuracy and continuity.
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References
Arulampalam, M.S., Maskell, S., Gordon, N., Clapp, T., 2002. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. on Signal Processing, 50(2):174–187. [doi:10.1109/78.978374]
Blom, A.P., Bar-Shalom, Y., 1988. The interacting multiple model algorithm for systems with Markovian switching coefficients. IEEE Trans. on Automatic Control, 33(8):780–783. [doi:10.1109/9.1299]
Boers, Y., Driessen, J.N., 2003. Interacting multiple model particle filter. IEE Proc. RSN, 150(5):344–349.
Gordon, N.J., Ristic, B., 2002. Tracking airbome targets occasionally hidden in the blind Doppler. Digital Signal Processing, 12:383–393. [doi:10.1006/dspr.2002.0439]
Li, X.R., Jilkov, V.P., 2005. Survey of maneuvering target tracking. Part V: Multiple-model methods. IEEE Trans. on Aero. Electr. Syst., 41(4):1255–1321. [doi:10.1109/TAES.2005.1561886]
Mo, L.B., Song, X.Q., Zhou, Y.Y., Sun, Z.K., Yaakov, B., 1998. Unbiased converted measurements for tracking. IEEE Trans. on Aero. Electr. Syst., 34(3):1023–1027. [doi:10.1109/7.705921]
Ristic, B., Arulampalam, S., Gordon, N., 2004. Beyond the Kalman Filter: Particle Filter for Tracking Applications. Artech House.
Zang, W., Shi, Z.G., Du, S.C., Chen, K.S., 2007. Novel roughening method for reentry vehicle tracking using particle filter. J. Electromagn. Waves & Appl., 21(4):1969–1981.
Zaugg, D.A., Samuel, A.A., Waagen, D.E., Schmitt, H.A., 2003. A Combined Particle/Kalman Filter for Improved Tracking of Beam Aspect Targets. IEEE Workshop on Statistical Signal Processing, p.535–538. [doi:10.1109/SSP.2003.1289512]
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Project supported by China Postdoctoral Science Foundation (No. 20060400313) and partly by Zhejiang Postdoctoral Science Foundation of China (No. 2006-bsh-25)
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Du, Sc., Shi, Zg., Zang, W. et al. Using interacting multiple model particle filter to track airborne targets hidden in blind Doppler. J. Zhejiang Univ. - Sci. A 8, 1277–1282 (2007). https://doi.org/10.1631/jzus.2007.A1277
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DOI: https://doi.org/10.1631/jzus.2007.A1277