Abstract
In order to use the spatial characteristic parameter of frequency hopping (FH) signal to realize FH sorting, an efficient FH signal DOA estimation algorithm is proposed in this paper. Firstly, the effective hop of signal is extracted from time and frequency domain and the spatial-time-frequency distribution matrix of this hop is established; then the SCMUSIC spatial spectrum is constructed using descending dimension method of noise sub-space based on MUSIC algorithm; finally we realize fast DOA estimation through half-spectrum searching so that FH sorting can be achieved using DOA information. Theoretical analysis and simulation results show that this algorithm has good effectiveness and estimation performance.
This work was supported by the National Natural Science Foundation of China under Grant 64601500.
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
Similar content being viewed by others
References
Sha, Z.C.: Online hop timing detection and frequency estimation of multiple FH signals. ETRI J. 35(5), 748–756 (2013)
Liu, X., Sidiropoulos, N.D., Swami, A.: Blind high-resolution localization and tracking of multiple frequency hopped signals. J. IEEE Trans. Signal Process. 50(4), 889–901 (2002)
Liu, X., Li, J., Ma, X.: An EM algorithm for blind hop timing estimation of multiple FH signals using an array system with bandwidth mismatch. J. IEEE Trans. Veh. Technol. 56(5), 2545–2554 (2007)
Wong, K.T.: Blind beamforming/geolocation for wide band-FFHs with unknown hop-sequences. J IEEE Trans. Aerosp. Electr. Syst. 37(1), 65–76 (2001)
Belouchrani, A., Amin, M.G.: Time-frequency MUSIC. J. IEEE Signal Process. Lett. 6(5), 109–110 (1999)
Belouchrani, A., Amin, M.G.: Blind source separation based on time-frequency signal representations. J. IEEE Trans. Signal Process. 46(11), 2888–2897 (1998)
Chen, L.H., Wang, Y.M., Zhang, E.Y.: Directions of arrival estimation for multicomponent frequency-hopping/direction sequence spread spectrum signals based on spatial time-frequency analysis. J. Signal Process. 25(8), 1309–1313 (2009)
Chen, L.H.: Directions of arrival estimation for multicomponent frequency-hopping signals based on spatial time-frequency analysis. J. Syst. Eng. Electr. 33(12), 2587–2592 (2011)
Zhang, D.W., Guo, Y., Qi, Z.S., et al.: Joint estimation algorithm of direction of arrival and polarization for multiple frequency-hopping signals. J. Electr. Inf. Technol. 37(7), 1695–1701 (2015). (in Chinese)
Zhang, D., Guo, Y., Qi, Z., et al.: A joint estimation algorithm of multiple parameters for frequency hopping signals using spatial polarimetric time frequency distributions. J. Xi’an Jiaotong Univ. 49(8), 17–23 (2015). (in Chinese)
Zhang, D., Guo, Y., Qi, Z., et al.: A joint estimation of 2D-DOA and polarization estimation for multiple frequency hopping signals. J. Xi’an Jiaotong Univ. 49(8), 17–23 (2015)
Yan, F.G., Liu, S., Jin, M., et al.: Fast DOA estimation based on MUSIC symmetrical compressed spectrum. J. Syst. Eng. Electr. 34(11), 2198–2202 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Yu, Xy., Guo, Y., Zhang, Kf., Li, L., Li, Hg., Sui, P. (2018). An Efficient DOA Estimation and Network Sorting Algorithm for Multi-FH Signals. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-73447-7_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73446-0
Online ISBN: 978-3-319-73447-7
eBook Packages: Computer ScienceComputer Science (R0)