Abstract
Most super-resolution direction finding methods need to know the array manifold exactly, but there is usually mutual coupling error in application, which directly leads to the performance degradation, and even failure. The paper proposed a novel calibration method in super-resolution direction finding for wideband signals based on spatial domain sparse optimization when mutual coupling exists in the array. First, the optimization functions are founded by the signals of every frequency bin, then the functions are optimized iteratively, after that the information of all frequencies is integrated for the calibration, finally, the actual directions of arrival (DOA) can be acquired, the performance of the method has been proved by simulations.
J. Zhen––This work was supported by the National Natural Science Foundation of China under Grant Nos. 61501176 and 61302074, University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province No. UNPYSCT-2016017, Specialized Research Fund for the Doctoral Program of Higher Education under Grant No. 20122301120004, Natural Science Foundation of Heilongjiang Province under Grant No. QC2013C061.
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References
Muhammad, M.R., Iftekharuddin, K.M., Ernest, M.: Autonomous wireless radar sensor mote for target material classification. 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. 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. Inf. Softw. Technol. 55, 475–488 (2013)
Luis, S., Luis, M., Jose, A.G.: SmartSantander: IoT experimentation over a smart city testbed. Comput. Netw. 61, 217–238 (2014)
Verdouw, C.N., Beulens, A.J., van der Vorst, M.J.G.A.J.: Virtualisation of floricultural supply chains: a review from an Internet of Things perspective. Comput. Electron. Agric. 99, 160–175 (2013)
Li, J., Zhao, Y.J., Li, D.H.: Accurate single-observer passive coherent location estimation based on TDOA and DOA. Chin. J. Aeronaut. 27, 913–923 (2014)
Giuseppe, F., Andrew, H.: A multipath-driven approach to HF geolocation. Sig. Process. 93, 3487–3503 (2013)
Friedlander, B., Weiss, A.J.: Direction finding in the presence of mutual coupling. IEEE Trans. Antennas Propag. 39, 273–284 (1991)
Svantesson, T.: Mutual coupling compensation using subspace fitting. In: 2000 IEEE Proceedings of the Sensor Array and Multichannel Signal Processing Workshop, Massachusetts, pp. 494–498. IEEE Press (2000)
Svantesson, T.: Modeling and estimation of mutual coupling in a uniform linear array of dipoles. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, Phoenix, pp. 2961–2964. IEEE Press (1999)
Svantesson, T.: The effects of mutual coupling using a linear array of thin dipoles of finite length. In: The Ninth IEEE SP Workshop on Statistical Signal and Array Processing, Portland, pp. 232–235. IEEE Press (1998)
Wang, B.H., Wang, Y.L, Chen, H.: A robust DOA estimation algorithm for uniform linear array in the presence of mutual coupling. In: IEEE Antennas and Propagation Society International Symposium, vol. 3, pp. 924–927 (2003)
Dai, J.S., Xu, W.C., Zhao, D.: Real-valued DOA estimation for uniform linear array with unknown mutual coupling. Sig. Process. 92, 2056–2065 (2012)
Xie, J., Tao, H.H., Rao, X.: Localization of mixed far-field and near-field sources under unknown mutual coupling. Digit. Sig. Process. 50, 229–239 (2016)
Liu, C., Ye, Z.F., Zhang, Y.F.: Autocalibration algorithm for mutual coupling of planar array. Sig. Process. 90, 784–794 (2010)
Elbir, A.M., Tuncer, T.E.: 2-D DOA and mutual coupling coefficient estimation for arbitrary array structures with single and multiple snapshots. Digit. Sig. Process. 54, 75–86 (2016)
Tipping, M.E.: Sparse Bayesian learning and the relevance vector machine. J. Mach. Learn. Res. 1, 211–244 (2001)
Valaee, S., Kabal, P.: Wideband array processing using a two-sided correlation transformation. IEEE Trans. Signal Process. 43, 160–172 (1995)
Acknowledgments
I would like to thank Professor Qun Ding, Heilongjiang province ordinary college electronic engineering laboratory and post doctoral mobile stations of Heilongjiang University.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhen, J., Qin, D., Zhao, B. (2018). Mutual Coupling Calibration in Super-Resolution Direction Finding for Wideband Signals. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_50
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