References

• 1. 1)
     • 9. Chiba, I., Chujo, W., Fujise, M.: ‘Beam space constant modulus algorithm adaptive array antennas’. Proc. Eighth Int. Conf. on Antennas and Propagation, Edinburgh, UK, March 1993, pp. 975–978.
  2. 2)
     • 19. Jiayuan, H., Zhengdong, S.: ‘A method of initialization and prediction of the CMA-based adaptive array’. Proc. Int. Conf. on Computational Electromagnetics and Its Applications (ICCEA ‘99), Beijing, China, November 1999, pp. 148–151.
  3. 3)
     • 22. Tantisopharak, T., Boonpoonga, A., Sirisuk, P., et al: ‘Simple initialization scheme for CMA adaptive antenna by using digital beam synthesis’. Proc. 5th Int. Conf. on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, Krabi, Thailand, May 2008, pp. 289–292.
  4. 4)
     • 31. He, L., Amin, M.G., Reed, C., et al: ‘A hybrid adaptive blind equalization algorithm for QAM signals in wireless communications’, IEEE Trans. Signal Process., 2004, 52, (7), pp. 2058–2069.
  5. 5)
     • 32. Banovic, K., Abdel Raheem, E., Khalid, M.A.S.: ‘Hybrid methods for blind adaptive equalization: new results and comparisons’. Proc. 10th IEEE Symp. on Computers and Communications (ISCC'05), Murcia, Spain, June 2005, pp. 275–280.
  6. 6)
     • 30. Loyka, S.L.: ‘Channel capacity of mimo architecture using the exponential correlation matrix’, IEEE Commun. Lett., 2001, 5, (9), pp. 369–371.
  7. 7)
     • 17. Abrar, S., Nandi, A.K.: ‘Blind equalization of square-QAM signals: a multimodulus approach’, IEEE Trans. Commun., 2010, 58, (6), pp. 1674–1685.
  8. 8)
     • 1. Khansa, R.A., Saade, J.J., Artail, H.A., et al: ‘A small cell approach to optimizing the coverage of MTC systems with massive MIMO and random access using stochastic geometry’. Proc. 2017 IEEE 13th Int. Conf. on Wireless and Mobile Computing, Networking and Communications (WiMob), Rome, Italy, October 2017, pp. 30–37.
  9. 9)
     • 20. Boonpoonga, A., Sirisuk, P., Phongcharoenpanich, C., et al: ‘Beam-switching-assisted CMA initialization for handset adaptive antenna’. Proc. IEEE Radio and Wireless Symp., Long Beach, CA, USA, January 2007, pp. 479–482.
  10. 10)
      • 29. Yonezawa, R., Chiba, I.: ‘A combination of two adaptive algorithms SMI and CMA’, IEICE Trans. Commun., 2001, E84.B, (7), pp. 1768–1773.
  11. 11)
      • 16. Yang, J., Werner, J.J., Dumont, G.A.: ‘The multimodulus blind equalization algorithm’. Proc. 13th Int. Conf. on Digital Signal Processing, Santorini, Greece, July 1997, pp. 127–130.
  12. 12)
      • 4. Agee, B.: ‘The least-squares CMA: A new technique for rapid correction of constant modulus signals’. Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP ‘86), Tokyo, Japan, April 1986, pp. 953–956.
  13. 13)
      • 3. Treichler, J., Agee, B.: ‘A new approach to multipath correction of constant modulus signals’, IEEE Trans. Acoust. Speech Signal Process., 1983, 31, (2), pp. 459–472.
  14. 14)
      • 2. Raleigh, G.G., Cioffi, J.M.: ‘Spatio-temporal coding for wireless communication’, IEEE Trans. Commun., 1998, 46, (3), pp. 357–366.
  15. 15)
      • 21. Boonpoonga, A., Sirisuk, P., Chongcheawchamnan, M., et al: ‘Hardware-assisted initialisation for constant modulus algorithm adaptive antenna’, IET Microwaves, Antennas Propag., 2008, 2, (4), pp. 303–311.
  16. 16)
      • 27. Yasin, M., Hussain, M.J.: ‘A novel adaptive algorithm addresses potential problems of blind algorithm’. Int. J. Antennas Propag., 2016, 2016, pp. 1–8.
  17. 17)
      • 25. So, H., Maruta, K., Suzaki, K.: ‘Laboratory experiment of blind adaptive array with subcarrier transmission power assignment in spectrum superposing scenarios’, Electronics. (Basel), 2018, 7, (1), pp. 1–15.
  18. 18)
      • 15. Maruta, K., Ahn, C-J., Hashimoto, K.: ‘Stabilized interference suppression by initial antenna selection for CMA adaptive array over Rayleigh fading channels’. Proc. The 2017 Int. Symp. on Nonlinear Theory and Its Applications (NOLTA2017), Cancun, Mexico, December 2017, pp. 217–220.
  19. 19)
      • 34. Garcia A, A. P., Rubio, L.: ‘Frequency impact on the indoor MIMO channel capacity between 2 and 12 GHz’. Proc. IEEE 66th Vehicular Technology Conf., Baltimore, MD, USA, October 2007, pp. 636–640.
  20. 20)
      • 14. Nishimori, K., Hiraguri, T., Seki, T., et al: ‘Multi-beam massive MIMO using analog beamforming and DBF based blind algorithm’. Proc. Int. Symp. on Antennas and Propagation (ISAP), Hobart, TAS, Australia, November 2015, pp. 1–3.
  21. 21)
      • 11. Tabata, T., Asato, H., Pham, D.H., et al: ‘Experimental study of adaptive array antenna system for ISDB-T high speed mobile reception’. Proc. IEEE Antennas and Propagation Society Int. Symp., Honolulu, HI, USA, June 2007, pp. 1697–1700.
  22. 22)
      • 12. Marzetta, T.L.: ‘Noncooperative cellular wireless with unlimited numbers of base station antennas’, IEEE Trans. Wirel. Commun., 2010, 9, (11), pp. 3590–3600.
  23. 23)
      • 7. Dabeer, O., Masry, E.: ‘Convergence analysis of the constant modulus algorithm’, IEEE Trans. Inf. Theory, 2003, 49, (6), pp. 1447–1464.
  24. 24)
      • 35. Farebrother, R.W.: ‘Linear least squares Computations’ (Marcel Dekker, Inc., New York, 1988).
  25. 25)
      • 6. Li, G., Ning, L., Yan, G., et al: ‘Convergence behavior of the constant modulus algorithm controlled by special stepsize’. Proc. 6th Int. Conf. on Signal Processing, Beijing, China, August 2002, pp. 390–392.
  26. 26)
      • 13. Hoydis, J., ten Brink, S., Debbah, M.: ‘Massive MIMO in the UL/DL of cellular networks: how many antennas do we need?’, IEEE J. Sel. Areas Commun., 2013, 31, (2), pp. 160–171.
  27. 27)
      • 18. Takao, K., Matsuda, H.: ‘The choice of the initial condition of CMA adaptive arrays’, IEICE Trans. Commun., 1995, E78.B, (11), pp. 1474–1479.
  28. 28)
      • 8. Adrian-Ionut, S., Dalina, Z., Jurian, M.: ‘A speed convergence least squares constant modulus algorithm for smart antenna beamforming’. Proc. 9th Int. Conf. on Communications (COMM), Bucharest, Romania, June 2012, pp. 31–34.
  29. 29)
      • 23. Maruta, K., Mashino, J., Sugiyama, T.: ‘Blind interference suppression scheme by eigenvector beamspace CMA adaptive array with subcarrier transmission power assignment for spectrum superposing’, IEICE Trans. Commun., 2015, E98.B, (6), pp. 1050–1057.
  30. 30)
      • 10. Nishimori, K., Kikuma, N., Inagaki, N.: ‘The differential CMA adaptive array antenna using an eigen-beamspace system’, IEICE Trans. Commun., 1995, 78, (11), pp. 1480–1488.
  31. 31)
      • 5. Treichler, J., Larimore, M.: ‘Convergence rates for the constant modulus algorithm with sinusoidal inputs’. Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP ‘85.), Tampa, FL, USA, April 1985, pp. 1157–1160.
  32. 32)
      • 28. Yonezawa, R., Hirata, K., Kirimoto, T., et al: ‘A combination of two adaptive algorithms SMI and CMA’. Proc. IEEE Global Communications Conf. (GLOBECOM), Sydney, NSW, Australia, November 1998, pp. 3181–3186.
  33. 33)
      • 24. Compton, R.T.: ‘The power-inversion adaptive array: concept and performance’, IEEE Trans. Aerosp. Electron. Syst., 1979, AES-15, (6), pp. 803–814.
  34. 34)
      • 26. Kikuma, N., Tsukamoto, N., Inagaki, N.: ‘Improving signal capture of CMA adaptive array using weight norm control’. Proc. Tenth Int. Conf. on Antennas and Propagation (Conf. Publ. No. 436), Edinburgh, UK, April 1997, pp. 502–505.
  35. 35)
      • 33. Ashmawy, D., Banovic, K., Abdel Raheem, E., et al: ‘Joint MCMA and DD blind equalization algorithm with variable-step size’. Proc. IEEE Int. Conf. on Electro/Information Technology, Windsor, ON, Canada, June 2009, pp. 174–177.