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2018 | OriginalPaper | Chapter

Flight Recognition via HRRP Using Fusion Schemes

Authors : Yang Zhang, Xiaofeng Yu, Zhenzhen Duan, Jian Zhang, Jing Liang

Published in: Communications, Signal Processing, and Systems

Publisher: Springer Singapore

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Abstract

The purpose of this research is to increase the target recognition rate based on high-resolution range profile (HRRP) by the method of information fusion. We fuse the HRRPs of the same target from different radars with varying waves via methods of both the weighted mean and the arithmetic mean. Then, we carry out target recognition with Bayesian classifier. The result shows that the target recognition ratio using the fused HRRP is higher than that of single.

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C.R. Smith, P.M. Goggans, Radar target identification. IEEE Antennas Propag. Mag. 35(2), 27–38 (1993)CrossRef

X.D. Zhang, Y. Shi, Z. Bao, A new feature vector using selected bispectra for signal classification with application in radar target recognition. IEEE Trans. Signal Process. 49(9), 1875–1885 (2001)CrossRef

D.H. Kim, D.K. Seo, H.T. Kim, Efficient radar target recognition using the music algorithm and invariant features. IEEE Trans. Antennas Propag. 50(3), 325–337 (2002)CrossRef

D.R. Wehner, High Resolution Radar, vol. 44, no. 1, 2nd edn. (Artech House, 1995)

H.J. Li, S.H. Yang, Using range profiles as feature vectors to identify aerospace objects. IEEE Trans. Antennas Propag. 3(3), 261–268 (1993)CrossRefMathSciNet

B. Bhanu, Automatic target recognition: state of the art survey. IEEE Trans. Aerosp. Electron. Syst. 22(4), 364–379 (1986)CrossRef

R.D. Strattan, Target identification from radar signatures, in IEEE International Conference on ICASSP Acoustics, Speech, and Signal Processing (1978), pp. 223–227

L. Du, H. Liu, Z. Bao, M. Xing, Radar HRRP target recognition based on higher order spectra. IEEE Trans. Signal Process. 53(7), 2359–2368 (2005)CrossRefMATHMathSciNet

Z. Guo, S. Li, One-dimensional frequency-domain features for aircraft recognition from radar range profiles. IEEE Trans. Aerosp. Electron. Syst. 46(4), 1880–1892 (2010)CrossRef

10.

A. Zyweck, R.E. Bogner, Radar target classification of commercial aircraft. IEEE Trans. Aerosp. Electron. Syst. 32(2), 598–606 (1996)CrossRef

Title: Flight Recognition via HRRP Using Fusion Schemes
Authors: Yang Zhang
Xiaofeng Yu
Zhenzhen Duan
Jian Zhang
Jing Liang
Publisher: Springer Singapore
Book: Communications, Signal Processing, and Systems
Print ISBN: 978-981-10-3228-8

Electronic ISBN: 978-981-10-3229-5

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-981-10-3229-5_26