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A DOA-Based Spatial Information Focusing Scheme for Mobile Multi-users in A 2 × 1 MISO System

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Abstract

In the conventional beamforming-based transmitting scheme for a multiple-input single-output (MISO) system, many transmitting antennas are usually required. In this paper, a direction of arrival (DOA) based spatial focusing scheme for a 2 × 1 MISO system is proposed. This 2 × 1 MISO system, can be employed for local or indoor communications, requires only one single and two antennas at the mobile station and the base station respectively. In the system, orthogonal-frequency-division-multiplexing (OFDM) is employed for the uplink and ultra wide band pulse is employed for the downlink. Firstly, based on the characteristics of OFDM, a multi-carriers DOA estimation algorithm is proposed to estimate the DOAs of multiple OFDM signals by using only two antennas, even the signals are coherent. Secondly, by using a fusion approach which fuses the estimated DOAs and an existing fixed focusing method, the spatial information focusing for mobile multi-users can be achieved. Numerical examples are provided to demonstrate the effectiveness of the proposed approach.

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References

  1. Zhang, C., Ariyavisitakul, S. L., & Meixia, T. (2012). LTE-advanced and 4G wireless communications [Guest Editorial]. IEEE Communications Magazine, 50, 102–103.

    Article  Google Scholar 

  2. Li, Y., Vorobyov, S. A., & Koivunen, V. (2015). Ambiguity function of the transmit beamspace-based MIMO radar. IEEE Transactions on Signal Processing, 63, 4445–4457.

    Article  MathSciNet  Google Scholar 

  3. van Rensburg, C., & Friedlander, B. (2004). Transmit diversity for arrays in correlated Rayleigh fading. IEEE Transactions on Vehicular Technology, 53, 1726–1734.

    Article  Google Scholar 

  4. Seok-Hwan, P., Haewook, P., & Inkyu, L. (2010). Distributed beamforming techniques for weighted sum-rate maximization in MISO interference channels. IEEE Communications Letters, 14, 1131–1133.

    Article  Google Scholar 

  5. Wu, S. X., Qiang, L., So, A. M. C., & Wing-Kin, M. (2015). Rank-two beamforming and stochastic beamforming for MISO physical-layer multicasting with finite-alphabet inputs. IEEE Signal Processing Letters, 22, 1614–1618.

    Article  Google Scholar 

  6. Duarte, M., Sabharwal, A., Dick, C., & Rao, R. (2010). Beamforming in MISO systems: Empirical results and EVM-based analysis. IEEE Transactions on Wireless Communications, 9, 3214–3225.

    Article  Google Scholar 

  7. Feng, W., Tao, P., Yongwei, H., & Xin, W. (2015). Robust transceiver optimization for power-splitting based downlink MISO SWIPT systems. IEEE Signal Processing Lette, 22, 1492–1496.

    Article  Google Scholar 

  8. Fan-Shuo, T., & Jhen-Fong, G. (2015). Robust beamforming design in MISO interference channels with RVQ limited feedback. IEEE Transactions on Vehicular Technology, 64, 580–592.

    Article  Google Scholar 

  9. Mavridis, T., Sarrazin, J., Petrillo, L., De Doncker, P., & Benlarbi-Delai, A. (2015). Information spatial focusing scheme for UWB wireless communications in smart environments. IEEE Antennas and Wireless Propagation Letters, 14, 20–23.

    Article  Google Scholar 

  10. Knapp, C. C., & Clifford, G. (1976). the generalized correlation method for estimation of time delay. IEEE Transactions on Acoustics, Speech, and Signal Processing, 24, 8.

    Article  Google Scholar 

  11. Zhang, W. Y., & Rao, B. D. (2010). A two microphone-based approach for source localization of multiple speech sources. IEEE Transactions on Audio, Speech and Language Processing, 18, 1913–1928.

    Article  Google Scholar 

  12. Yang, J.-M. (2008). Two-channel DOA estimation using frequency selective MUSIC algorithm with a phase compensation in reverberant room. In 2008 IEEE 5th proceedings of the Sensor Array and Multichannel Signal Processing Workshop(SAM), pp. 365–368.

  13. Jian-Feng, G., Nan-Jun, L., Ping, W., & Heng-Ming, T. (2010). Wideband DOA estimation using two sensors. In 2010 International conference on measuring technology and mechatronics automation (ICMTMA), pp. 1095–1098.

  14. Yong, Z., & Peiyu, H. (2012). Wideband direction of arrival estimation based on multiple virtual extension arrays. In: 2012 IEEE 11th international conference on signal processing (ICSP), pp. 343–346.

  15. van Nee, R. P. R. (1999). OFDM for wireless multimedia communications (p. 34). Boston: ARTech House.

    Google Scholar 

  16. Fang-Ming, H., & Xian-Da, Z. (2005). An ESPRIT-like algorithm for coherent DOA estimation. IEEE Antennas and Wireless Propagation Letters, 4, 443–446.

    Article  Google Scholar 

  17. Schmidt, R. O. (1982). A signal subspace approach to multiple emitter location and spectral estimation. Ph.D. dissertation, Stanford University, California.

  18. Golub, G. H., & Van Loan, C. F. (1996). Matrix computations (3rd ed., pp. 603–604). Baltimore: Johns Hopkins University Press.

    MATH  Google Scholar 

  19. Knyazev, A. V. (2002). Principal angles between subspaces in an A-based scalar product: Algorithms and perturbation estimates. Society for Industrial and Applied Mathematics, 23, 2009–2041.

    MathSciNet  Google Scholar 

  20. Kaiser, T., & Zheng, F. (2010). Ultra wideband systems with MIMO (pp. 99–133). Hoboken, NJ: Wiley.

    Book  Google Scholar 

  21. Rappaport, T. S. (1996). Wireless communications: Principles and practice (Vol. 2). Upper Saddle River, NJ: Prentice-Hall.

    MATH  Google Scholar 

  22. Yong, Z., Peiyu, H., & Haijiang, W. (2016). Wideband coherent sources localization based on a two-node distributed sensor networks. Signal Processing, 126, 103–110.

    Article  Google Scholar 

Download references

Acknowledgements

The work in this paper was supported by the National Natural Science Foundation of China (Grant No. 61071159), the National High Technology Research and Development Program of China (863 Program) (Grant No. 2012AA01A502), the National Natural Science Foundation of China (Grant No. 61179006), and the Science and Technology Support Program of Sichuan Province (Grant No. 2014GZX0004).

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Authors and Affiliations

  1. National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China

    Yong Zhang & Lidong Zhu

  2. School of Electronics and Information Engineering, Sichuan University, Chengdu, China

    Peiyu He & Ao Cui

Authors
  1. Yong Zhang
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  2. Lidong Zhu
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  3. Peiyu He
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  4. Ao Cui
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Correspondence to Yong Zhang.

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Zhang, Y., Zhu, L., He, P. et al. A DOA-Based Spatial Information Focusing Scheme for Mobile Multi-users in A 2 × 1 MISO System. Wireless Pers Commun 96, 1835–1848 (2017). https://doi.org/10.1007/s11277-017-4271-7

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