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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
C.R. Smith, P.M. Goggans, Radar target identification. IEEE Antennas Propag. Mag. 35(2), 27–38 (1993)
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)
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)
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)
B. Bhanu, Automatic target recognition: state of the art survey. IEEE Trans. Aerosp. Electron. Syst. 22(4), 364–379 (1986)
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)
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)
A. Zyweck, R.E. Bogner, Radar target classification of commercial aircraft. IEEE Trans. Aerosp. Electron. Syst. 32(2), 598–606 (1996)
Acknowledgements
This work was supported by the National Natural Science Foundation of China (61671138), the Fundamental Research Funds for the Central Universities Project No. ZYGX2015J021, and the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zhang, Y., Yu, X., Duan, Z., Zhang, J., Liang, J. (2018). Flight Recognition via HRRP Using Fusion Schemes. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2016. Lecture Notes in Electrical Engineering, vol 423. Springer, Singapore. https://doi.org/10.1007/978-981-10-3229-5_26
Download citation
DOI: https://doi.org/10.1007/978-981-10-3229-5_26
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3228-8
Online ISBN: 978-981-10-3229-5
eBook Packages: EngineeringEngineering (R0)