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A Novel Algorithm for Simple Hybrid of Adaptive Array and Equalizer

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Abstract

Adaptive array has been used for canceling the interference in communication. When the array cannot suppress all the interference, an equalizer following the array can add to further enhance the capability of canceling the inter-symbol interference (ISI). The adaptive array and equalizer (AE) will suffer the problems of insufficient degrees of freedom and main-beam multi-path ISI. The hybrid of adaptive array and equalizer (HAE) uses a modified training sequence to adjust the weights of adaptive array that leads the array to cancel only the co-channel interference (CCI). The ISI are removed by the equalizer following the array. Thus, the HAE can combat the above problems successfully. Though the HAE improves the performance of AE, a transversal filter is added to generate the modified training sequence. Besides, the weights of equalizer in the HAE, which adjust after the weights of adaptive array, will make the convergent rate slowly. A simple hybrid of adaptive array and equalizer (SHAE) utilizes the output signal of system to adjust the weights of both the adaptive array and equalizer simultaneously. Therefore, the convergent rate of the HAE can improve by the SHAE. Moreover, the ISI can be suppressed by the equalizer instead of the adaptive array in the SHAE that will improve the performance of AE without using the transversal filter. As the mutual coupling present, the convergent rate of the SHAE will slow down. In this paper, a least mean square error algorithm with mutual coupling present is proposed to improve the convergent rate of SHAE, also.

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References

  1. Birchler, M. A., & Jasper, S. C. (1992). A 64 KBPS digital land mobile radio system employing M-16QAM, In IEEE international conference on selected topics in wireless communications, conference proceedings (pp. 158–162).

  2. Zoltowski, M. D., & Ramos, J. (1995). Blind adaptive beam-forming for narrowband co-channel digital communications signals in a multi-path environment, In IEEE ICASSP (pp. 1745–1748).

  3. Okino, K., Yamazaki, C., Kato, M., Tong, F., Sunaga, T., & Kimura, S. (2007). Experiment and simulation results of adaptive antenna array system at base and mobile stations in mobile environment. IEICE Transactions on Communications, E90–B(9), 2330–2337.

  4. Winters J. H. et al (1994) The impact of antenna diversity on the capacity of wireless communication systems. IEEE Transactions on Communications 42: 1740–1750

    Article  Google Scholar 

  5. Naguib A. F. et al (1994) Capacity improvement with base-station antenna arrays in cellular CDMA. IEEE Transactions on Vehicular Technology 43: 691–698

    Article  Google Scholar 

  6. Vaughan R. G. (1988) On optimum combining at the mobile. IEEE Transactions on Vehicular Technology 37: 181–188

    Article  Google Scholar 

  7. Barrett M., Arnott R. (1994) Adaptive antennas for mobile communications. Electronics & Communication Engineering Journal 6: 203–214

    Article  Google Scholar 

  8. Doi, Y., Ohgane, T., & Ogawa, E. (1996). ISI and CCI canceller combining the adaptive array antennas and the Viterbi equalizer in digital mobile radio, vehicular technology conference. In Mobile technology for human race, IEEE 46th (Vol. 1, pp. 81–85).

  9. Suzuki, H. (1994). Adaptive signal processing for optimal transmission in mobile radio communications. IEICE Transactions on Communication, E77-B(5).

  10. Applebaum S. P., Chapman D. J. (1976) Adaptive arrays with main beam constraints. IEEE Transactions Antennas Propagation AP-24: 650–662

    Article  Google Scholar 

  11. Adams R. N. et al (1980) Adaptive main-beam nulling for narrow-beam antenna arrays. IEEE Transactions on Aerospace and Electronic Systems AES-16: 509–516

    Article  Google Scholar 

  12. Leou M. L., Yeh C. C., Li H. J. (2000) A novel hybrid of adaptive array and equalizer for mobile communications. IEEE transactions on Vehicular Technology 49(1): 1–10

    Article  Google Scholar 

  13. Lee Y., Wu W. R. (2008) Adaptive decision feedback space–time equalization with generalized side-lobe cancellation. IEEE transactions on Vehicular Technology 57(5): 2894–2906

    Article  MathSciNet  Google Scholar 

  14. Bu-hong W., Yong-liang W., Hui C. (2003) A robust DOA estimation algorithm for uniform linear array in the presence of mutual coupling. IEEE Antennas and Propagation Society International Symposium, 3: 924–927

    Google Scholar 

  15. Sellone F., Serra A. (2007) A novel online mutual coupling compensation algorithm for uniform and linear arrays. IEEE Transactions on signal processing 55: 560–573

    Article  MathSciNet  Google Scholar 

  16. Gupta I. J., Ksienski A. A. (1983) Effect of mutual coupling on the performance of adaptive arrays. IEEE Transactions on Antennas and Propagation Ap-31(5): 785–791

    Article  Google Scholar 

  17. Qureshi S.U.H. (1985) Adaptive equalization. Proceeding of the IEEE, 73: 1349–1386

    Article  Google Scholar 

  18. Chen S. et al (1993) Adaptive Bayesian equalizer with decision feedback. IEEE Transactions on Signal Processing 41: 2918–2927

    Article  MATH  Google Scholar 

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Correspondence to Maw-Lin Leou.

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Leou, ML., Wu, CM. & Liaw, YC. A Novel Algorithm for Simple Hybrid of Adaptive Array and Equalizer. Wireless Pers Commun 55, 567–583 (2010). https://doi.org/10.1007/s11277-009-9819-8

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  • DOI: https://doi.org/10.1007/s11277-009-9819-8

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