Abstract
Most super-resolution direction finding methods need to know the array manifold exactly, but there is usually gain and phase errors in the array, which directly lead to the discordance of the channels. The paper proposed a novel calibration method in super-resolution direction finding for wideband signals based on spatial domain sparse optimization when gain and phase errors exist. First, the optimization functions are founded by the signals of every frequency, then the functions are optimized iteratively, consequently the information of all frequencies is integrated for the calibration, thus, the actual directions of arrival (DOA) can be estimated. Simulations have proved the method is appropriate for low signal to noise ratio (SNR) and small samples.
J. Zhen—This work was supported by the National Natural Science Foundation of China under Grant No. 61501176 and 61302074, Specialized Research Fund for the Doctoral Program of Higher Education under Grant No. 20122301120004, Natural Science Foundation of Heilongjiang Province under Grant No. QC2013C061.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Muhammad, M.R., Iftekharuddin, K.M., Ernest, M.: Autonomous wireless radar sensor mote for target material classification. J. Digit. Sig. Process. 23, 722–735 (2013)
Soh, P.J., Vanden, B.B., Xu, H.T.: A smart wearable textile array system for biomedical telemetry applications. J. IEEE Trans. Microw. Theory Tech. 61, 2253–2261 (2013)
William, R.O., Aniruddha, G., Schmidt, D.C.: Efficient and deterministic application deployment in component-based enterprise distributed real-time and embedded systems. J. Inform. Softw. Technol. 55, 475–488 (2013)
Mehmet, B., Guldogan, O.A.: A new technique for direction of arrival estimation for ionospheric multipath channels. J. Adv. Space Res. 44, 653–662 (2009)
Muhammad, S., Ghulam, A.H.: Partial discharge diagnostic system for smart distribution networks using directionally calibrated induction sensors. J. Electr. Power Syst. Res. 119, 447–461 (2015)
Li, J., Zhao, Y.J., Li, D.H.: Accurate single-observer passive coherent location estimation based on TDOA and DOA. J. Chin. J. Aeronaut. 27, 913–923 (2014)
Giuseppe, F., Andrew, H.: A multipath-driven approach to HF geolocation. J. Sig. Process. 93, 3487–3503 (2013)
Luis, S., Luis, M., Jose, A.G.: SmartSantander: IoT experimentation over a smart city testbed. J. Comput. Netw. 61, 217–238 (2014)
Verdouw, C.N., Beulens, A.J.M., van der Vorst, J.G.A.J.: Virtualisation of floricultural supply chains: a review from an Internet of things perspective. J. Comput. Electr. Agric. 99, 160–175 (2013)
Srinath, H., Reddy, V.U.: Analysis of MUSIC algorithm with sensor gain and phase perturbations. J. Sig. Process. 23, 245–256 (1991)
Schmidt, R.O.: Multiple emitter location and signal parameter estimation. J IEEE Trans. Antennas Propag. 34, 276–280 (1986)
Wang, T.D., Liao, H.S., Li, L.P.: Fast DOA estimation with ULA in the presence of sensor gain and phase errors. In: 2009 International Conference on Communications, Circuits and Systems, pp. 395–397. Milpitas (2009)
Jiang, J.J., Duan, F.J., Chen, J.: Two new estimation algorithms for sensor gain and phase errors based on different data models. IEEE Sens. J. 13, 1921–1930 (2012)
Xu, L., Zeng, C., Liao, G.S.: DOA estimation for strong and weak signals in the presence of array gain and phase mismatch. In: 2010 International Conference on Multimedia Technology, pp. 1–4. Ningbo (2010)
Cao, S.H., Ye, Z.F., Hu, N., Xu, X.: DOA estimation based on fourth-order cumulants in the presence of sensor gain-phase errors. J. Sig. Process. 93, 2581–2585 (2013)
Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. 39, 1–38 (1977)
Valaee, S., Kabal, P.: Wideband array processing using a two-sided correlation transformation. J. IEEE Trans. Sig. Process. 43, 160–172 (1995)
Acknowledgments
I would like to thank Heilongjiang province ordinary college electronic engineering laboratory and post doctoral mobile stations of Heilongjiang University.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zhen, J., Qin, D., Yang, J., Li, Y. (2017). Calibration Method of Gain-Phase Errors in Super-resolution Direction Finding for Wideband Signals. In: Xin-lin, H. (eds) Machine Learning and Intelligent Communications. MLICOM 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-319-52730-7_31
Download citation
DOI: https://doi.org/10.1007/978-3-319-52730-7_31
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-52729-1
Online ISBN: 978-3-319-52730-7
eBook Packages: Computer ScienceComputer Science (R0)