Abstract
It is inevitable to generate cross term when calculating the cyclic spectrum estimation of complex electromagnetic environment interference signals. Aiming at the problem of cross term in multiple signal cycle spectrum in complex electromagnetic environment, this paper presents a method for cross-term suppression in cyclic spectrum estimation based on empirical mode decomposition (EMD).The effective information of complex electromagnetic environment signals is extracted by compression and reconstruction algorithm, and the effective information is decomposed by empirical mode. results of simulation and experiment show that the proposed method can effectively suppress the cross term.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Li, J., Stoica, P.: MIMO Radar Signal Processing [M] (2009)
White, L.B., et al.: Signal design for MIMO diversity systems. In Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004, Vol. 1, pp. 973-977. IEEE (2004)
Fishler, E., et al.: Spatial diversity in radars—models and detection performance. IEEE Trans. Signal Process. 54(3), 823–838 (2006)
Thameri, M., Abed-Meraim, K., Foroozan, F., Boyer, R., Asif, A.: On the statistical resolution limit (SRL) for time-reversal based MIMO radar. Signal Process. 144, 373–383 (2018). https://doi.org/10.1016/j.sigpro.2017.10.029
Lehmann, N.H., et al.: High resolution capabilities of MIMO radar. In: Fortieth Asilomar Conference on Signals, Systems and Computers, pp. 25-30. IEEE (2006)
Zhang, J., Zhang, R.R., Yang, R.W., et al.: Signal subspace reconstruction method of MIMO radar. Electron. Lett. 46(7), 531–533 (2010)
Karthikeyan, C.S., Suganthi, M.: Optimized spectrum sensing algorithm for cognitive radio. Wireless Pers. Commun. 94(4), 2533–2547 (2017)
Gan, H., et al.: Circulant and toeplitz chaotic matrices in compressed sensing. J. Comput. Inf. Syst. 11(4), 1231–1238 (2015)
Candes, E.J., Romberg, J., Tao, T.: Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inf. Theory 52(2), 489–509 (2006). https://doi.org/10.1109/TIT.2005.862083
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Hu , J., Lu, L., Li, X. (2021). Cross-term Suppression in Cyclic Spectrum Estimation Based on EMD. In: Wu, Q., Zhao, K., Ding, X. (eds) Wireless and Satellite Systems. WiSATS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-030-69069-4_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-69069-4_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-69068-7
Online ISBN: 978-3-030-69069-4
eBook Packages: Computer ScienceComputer Science (R0)