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The Resolving Power Analysis of a Distributed Polarization-Sensitive Array

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Abstract

The problem of source number detection based on a distributed polarization-sensitive array (DPSA) is considered in this paper. We propose a DPSA to improve the matching coefficient that can be used to measure the eigenvalues. We theoretically prove that DPSA has a lower matching coefficient than the traditional uniform circular array (UCA) when the incident sources are uncorrelated, and we then obtain the eigenvalues by using the matching coefficient. Moreover, we discuss the change in eigenvalues under the assumption that the power of the signals is unequal. Numerical simulations show that the source detection probability of the DPSA is enhanced compared with the traditional UCA. Meanwhile, increasing the power of the stronger received signal improves the detection probability when the source power is unequal.

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Notes

  1. This indicates that the electric and magnetic fields of the electromagnetic wave are in the plane perpendicular to the propagation direction.

  2. For linearly transverse electromagnetic waves \(\gamma _k =0\), \(\eta _k=0\), or \(\eta _k=- \,180^\circ \); for circularly polarized waves, \(\gamma _k=45^\circ \) and \(\eta _k=\pm \, 90^\circ \), and the signal has a left or right hand circular polarization (LHCP or RHCP); see [18].

References

  1. H. Akaike, A new look at the statistical model identification. IEEE Trans. Autom. Control 19, 716–723 (1974)

    Article  MathSciNet  MATH  Google Scholar 

  2. O.M. Bucci, T. Isernia, A.F. Morabito, Optimal synthesis of circularly symmetric shaped beams. IEEE Trans. Antennas Propag. 62, 1954–1964 (2014)

    Article  Google Scholar 

  3. Q. Cheng, Y.B. Hua, Performance analysis of the MUSIC and Pencil-MUSIC algorithms for diversely polarized array. IEEE Trans. Signal Process. 32, 284–299 (1996)

    Google Scholar 

  4. W. Dong, M. Diao, L. Gao, L. Liu, A low-complexity DOA and polarization method of polarization-sensitive array. Sensors 17(5), 1170 (2017)

    Article  Google Scholar 

  5. R. Goossens, H. Rogier, A hybrid UCA-RARE/Root-MUSIC approach for 2-D direction of arrival estimation in uniform circular arrays in the presence of mutual coupling. IEEE Trans. Antennas Propag. 55, 841–849 (2007)

    Article  Google Scholar 

  6. M. Häge , M. Oispuu, DOA and polarization accuracy study for an imperfect dual-polarized antenna array, in European Signal Processing Conference (2011), pp. 599–603

  7. M. Hajian, H. Nikookar, F. Der Zwan, Branch correlation measurements and analysis in an indoor Rayleigh fading channel for polarization diversity using a dual polarized patch antenna. IEEE Microwave Wirel. Compon. Lett. 15, 555–557 (2005)

    Article  Google Scholar 

  8. E.J. Hannan, B.G. Quinn, The determination of the order of an autoregression. J. R. Stat. Soc. 41, 190–195 (1979)

    MathSciNet  MATH  Google Scholar 

  9. Y. Han, Q. Fang, F. Yan, M. Jin, X. Qiao, Joint DOA and polarization estimation for unequal power sources based on reconstructed noise subspace. J. Syst. Eng. Electron. 27, 501–513 (2016)

    Article  Google Scholar 

  10. K. Han, A. Nehorai, Improved source number detection and direction estimation with nested arrays and ULAs using jackknifing. IEEE Trans. Signal Process. 61, 6118–6128 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  11. Z. He, A. Cichocke, S. Xie, K. Choi, Detecting the number of clusters in n-way probabilistic clustering. IEEE Trans. Pattern Anal. Mach. Intell. 32, 2006–2021 (2010)

    Article  Google Scholar 

  12. J. Li, R.T. Compton, Angle and polarization estimation using ESPRIT with a polarization sensitive array. IEEE Trans. Antennas Propag. 39, 1376–1383 (1991)

    Article  Google Scholar 

  13. B. Lindmark, S. Lundgren, J.R. Sanford, Dual-polarized array for signal-processing applications in wireless communications. IEEE Trans. Antennas Propag. 46, 758–763 (1998)

    Article  Google Scholar 

  14. K. Louertani, R. Guinvarc’h, N. Ribiere-Tharaud, M. Helier, Study of the radiated polarization of an antenna array with circular geometry. Prog. Electromagn. Res. C 24, 173–183 (2011)

    Article  Google Scholar 

  15. S. Miron, N.L. Bihan, J. Mars, Quaternion-MUSIC for vector-sensor. IEEE Trans. Signal Process. 54, 1218–1229 (2006)

    Article  MATH  Google Scholar 

  16. D. Rahamim, J. Tabrikian, R. Shavit, Source localization using vector sensor array in a multipath environment. IEEE Trans. Signal Process. 52, 3096–3103 (2004)

    Article  Google Scholar 

  17. M. Wax, I. Ziskind, Detection of the number of coherent signals by the MDL principle. IEEE Trans. Acoust. Speech Signal Process 37, 1190–1196 (1989)

    Article  Google Scholar 

  18. K.T. Wong, M.D. Zoltowski, Closed-form direction finding and polarization estimation with arbitrarily spaced electromagnetic vector-sensors at unknown locations. IEEE Trans. Antennas Propag. 48, 671–681 (2000)

    Article  Google Scholar 

  19. K.T. Wong, M.D. Zoltowski, Root-MUSIC-based direction-finding and polarization estimation using diversely polarized possibly collocated antennas. IEEE Trans. Antennas Wirel. Propag. 3, 129–132 (2004)

    Article  Google Scholar 

  20. K.T. Wong, M.D. Zoltowski, Self-initiating MUSIC-based direction finding and polarization estimation in spatio-polarizational beamspace. Trans. Antennas Propag. 48, 1235–1245 (2000)

    Article  Google Scholar 

  21. A. Zanella, M. Chiani, M.Z. Win, The effect of unequal power reception in cellular MIMO networks. Signal Process. 90, 1850–1860 (2010)

    Article  MATH  Google Scholar 

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Acknowledgements

This work was supported in part by the National Science Foundation of China under Grant 61571149. The authors would like to thank the anonymous reviewers and the associate editor for their valuable comments and suggestions, which have greatly improved the quality of this paper.

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The main idea was proposed by Wen Dong. Lipeng Gao and Ming Diao performed the experiments and analyzed the simulation results. Wen Dong wrote the paper.

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Correspondence to Wen Dong.

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The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.

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Dong, W., Diao, M. The Resolving Power Analysis of a Distributed Polarization-Sensitive Array. Circuits Syst Signal Process 38, 4040–4055 (2019). https://doi.org/10.1007/s00034-019-01038-9

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