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A Novel ML-2D-LUT Based Adaptive Predistorter of High Power Amplifier Using New Improved RLS Algorithm

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Abstract

This paper introduces a Multilevel two dimensional Look-Up-Table (ML-2D-LUT) based adaptive predistortion (APD) technique to reduce gain distortion in the saleh modeled power amplifier (HPA). The quick initialization of the ML-2D-LUT, a new improved RLS algorithm is implemented to compensate the time-varying problem in the HPA. The proposed method distinguishes the coefficients successfully. Moreover, additional convergence in steady state and less steady state error (SSE) will be accomplished for the power amplifiers with profound impacts in the memory by using the modified step-size parameter. Simulation results demonstrate that the proposed technique offers enhanced the PA efficiency for non-constant envelope modulations and nonlinear distortions can be extraordinarily decreased with the NIRLS algorithm. The BER and MSE results conclude that the proposed technique gives better results than conventional RLS.

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References

  1. Rawat, M., Ghannouchi, F. M., & Rawat, K. (2013). Three-layered biased memory polynomial for dynamic modeling and predistortion of transmitters with memory. IEEE Transactions on Circuits and Systems I: Regular Papers, 60(3), 768–777.

    Article  MathSciNet  Google Scholar 

  2. Ai, B., Yang, Z., Pan, C., Zhang, T., & Ge, J. (2005). Effects of PAPR reduction on HPA predistortion. IEEE Transactions on Consumer Electronics, 51(4), 1143–1147.

    Article  Google Scholar 

  3. Cao, H., Nemati, H. M., Tehrani, A. S., Eriksson, T., Grahn, J., & Fager, C. (2010). Linearization of efficiency-optimized dynamic load modulation transmitter architectures. The IEEE Transactions on Microwave Theory and Techniques, 58(4), 873–881.

    Article  Google Scholar 

  4. Raab, F. H., Sigmon, B. E., Myers, R. G., & Jackson, R. M. (1998). L-band transmitter using Kahn EER technique. The IEEE Transactions on Microwave Theory and Techniques, 46(12), 2220–2225.

    Article  Google Scholar 

  5. Chen, W., Bassam, S. A., Li, X., Liu, Y., Rawat, K., Helaoui, M., et al. (2011). Design and linearization of concurrent dual-band Doherty power amplifier with frequency-dependent power ranges. The IEEE Transactions on Microwave Theory and Techniques, 59(10), 2537–2546.

    Article  Google Scholar 

  6. Chen, W., Zhang, S., Liu, Y., Liu, Y., & Ghannouchi, F. M. (2014). A concurrent dual-band uneven Doherty power amplifier with frequency-dependent input power division. IEEE Transactions on Circuits and Systems I: Regular Papers, 61(2), 552–561.

    Article  Google Scholar 

  7. Nagata, Y. (1989). Linear amplification technique for digital mobile communications. In Proceedings of IEEE VTC ‘89, pp. 159–164.

  8. Cavers, J. K. (1990). Amplifier linearization using a digital predistorter with fast adaptation and low memory requirements. IEEE Transactions on Vehicular Technology, VT-39(4), 374–382.

    Article  Google Scholar 

  9. Baek, M., Lee, Y., Kim, G., Park, S., & Lee, Y. (2013). Development of T-DMB emergency broadcasting system and trial service with the legacy receivers. The IEEE Transactions on Consumer Electronics, 59(1), 38–44.

    Article  Google Scholar 

  10. Mandic, D. P. (2004). A generalized normalized gradient descent algorithm. The IEEE Signal Processing Letters, 11(2), 115–118.

    Article  Google Scholar 

  11. Morgan, D. R., Ma, Z., & Ding, L. (2003). Reducing measurement noise effects in digital predistortion of RF power amplifiers. In Proceedings of IEEE International Conference on Communications, Anchorage, USA, Vol. 4, pp. 2436–2439, May. (2003).

  12. Zhou, D., & DeBrunner, V. E. (2007). Novel adaptive nonlinear predistorters based on the direct learning algorithm. IEEE Transactions on Signal Processing, 55(1), 120–133.

    Article  MathSciNet  Google Scholar 

  13. Swaminathan, J. N., & Kumar, P. (2015). Design of efficient adaptive predistorter for nonlinear high power amplifier. Springer Wireless Personal Communications, 82(2), 1085–1093.

    Article  Google Scholar 

  14. Swaminathan, J. N., & Kumar, P. (2014). EVM & ACP Analysis of LMS filter for saleh model palinearization in different phase shift keying modulations. Journal of Theoritical and Applied Information Technology, 69(1), 182–187.

    Google Scholar 

  15. Swaminathan, J. N., Kumar, P., & Vinoth, M. (2013). Performance analysis of LMS filter in linearization of different memoryless non linear power amplifier models. In Proceedings of International conference on Advances in Computing, Communication and Control (ICAC3) (pp. 459–464). Berlin: Springer.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Kumaraguru College of Technology, Coimbatore, India

    J. N. Swaminathan

  2. Department of Electronics and Communication Engineering, K.S.Rangasamy College of Technology, Thiruchengode, India

    P. Kumar

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  1. J. N. Swaminathan
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  2. P. Kumar
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Correspondence to J. N. Swaminathan.

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Swaminathan, J.N., Kumar, P. A Novel ML-2D-LUT Based Adaptive Predistorter of High Power Amplifier Using New Improved RLS Algorithm. Wireless Pers Commun 90, 807–816 (2016). https://doi.org/10.1007/s11277-016-3217-9

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  • DOI: https://doi.org/10.1007/s11277-016-3217-9

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