Non-sensitive adaptive beamforming against mutual coupling

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Non-sensitive adaptive beamforming against mutual coupling

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The standard Capon beamformer (SCB) is known to suffer from severe performance degradation when there is a mismatch between the presumed signal steering vector and the actual one. There may be several reasons leading to this result such as mutual coupling between array elements. The problem of adaptive beamforming in the presence of mutual coupling is studied based on a uniform linear array (ULA). By setting a group of auxiliary elements on each side of the ULA, the authors prove that the proposed method can inherently compensate the effect caused by the mutual coupling and greatly decrease the sensitivity of the SCB against mutual coupling. This technique can also be applied to most of the existing robust beamforming methods to further improve their performances. Theoretical analysis and simulation results demonstrate the robustness and effectiveness of this technique.

Inspec keywords: array signal processing; AWGN; Gaussian distribution

Other keywords: uniform linear array; mutual coupling; additive white Gaussian noise distribution; standard Capon beamformer; signal steering vector; nonsensitive adaptive beamforming

Subjects: Signal processing and detection; Other topics in statistics; Signal processing theory; Other topics in statistics

References

    1. 1)
      • Song, X., Wang, J., Han, Y.: `Robust Capon beamforming in the presence of mismatches', IEEE Int. Symp. Communications and Information Technology 2005, October 2005, 1, p. 140–143.
    2. 2)
      • Fernandez del Rio, J.E., Conde-Portilla, O.M., Catedra, M.F.: `Estimating azimuth and elevation angles when mutual coupling is significant', Antennas and Propagation Society Int. Symp., June 1998, 1, p. 215–218.
    3. 3)
      • J. Li , P. Stoica , Z. Wang . On robust Capon beamforming and diagonal loading. IEEE Trans. Signal Process. , 7 , 1702 - 1715
    4. 4)
      • Lundgren, S.: `A study of mutual coupling effects on the direction finding performance of ESPRIT with a linear microstrip patch array using the method of moments', Antennas and Propagation Society Int. Symp., July 1996, 2, p. 1372–1375.
    5. 5)
      • S. Kikuchi , H. Tsuji , A. Sano . Autocalibration algorithm for robust Capon beamforming. IEEE Antennas Wirel. Propag. Lett. , 251 - 255
    6. 6)
      • K.R. Dandekar , H. Ling , G. Xu . Experimental study of mutual coupling compensation in smart antenna applications. IEEE Trans. Wirel. Commun. , 3 , 480 - 487
    7. 7)
      • Z. Ye , C. Liu . On the resiliency of MUSIC direction finding against antenna sensor coupling. IEEE Trans. Antennas Propag. , 2 , 371 - 380
    8. 8)
      • Svantesson, T.: `Modeling and estimation of mutual coupling in a uniform linear array of dipoles', IEEE Int. Conf., Acoustics, Speech, Signal Processing '99. Proc., 15–19 March 1999, 5, p. 2961–2964.
    9. 9)
      • Yu, Y.C., Okada, M., Yamamoto, H.: `Dummy elements add on both sides of monopole-array assisted doppler spread compensator for digital terrestrial television broadcasting receiver', IEEE Int. Workshop on Antenna Technology Small Antennas and Novel Metamaterials, 6–8 March 2006, p. 377–380.
    10. 10)
      • Svantesson, T.: `Mutual coupling compensation using subspace fitting', Sensor Array and Multichannel Signal Processing Workshop 2000, Proc. 2000 IEEE, March 2000, p. 494–498.
    11. 11)
      • C. Lee , J. Lee . Eigenspace-based adaptive array beamforming with robust capabilities. IEEE Trans. Antennas Propag. , 12 , 1711 - 1716
    12. 12)
      • Klemm, R.: `Antenna design for adaptive airborne MTI', Radar 92. Int. Conf., October 1992, p. 296–299.
    13. 13)
      • Liu, H., Liao, G., Zhang, J., Hu, J.: `Robust blind adaptive beamforming for cyclostationary signals', IEEE Int. Symp. Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2005, August 2005, 1, p. 346–349.
    14. 14)
      • Zhao, Y., Zhang, S.: `Eigenspace-based linearly constrained minimum variance beamformer', 2002 6th Int. Conf., Signal Process, August 2002, 1, p. 313–316.
    15. 15)
      • Gershman, A.B.: `Robust adaptive beamforming: an overview of recent trends and advances in the field', IVth Int. Conf. Antenna Theory and Techniques 2003, September 2003, 1, p. 30–35.
    16. 16)
      • J. Capon . High resolution frequency-wavenumber spectrum analysis. Proc. IEEE , 8 , 1408 - 1418
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