Journal of IKEEE (전기전자학회논문지)

Institute of Korean Electrical and Electronics Engineers (한국전기전자학회)
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Interference Cancellation System in Wireless Repeater Using Complex Signed Signed CMA Algorithm

Complex Signed-Signed CMA 알고리즘을 이용한 간섭 제거 중계기

  • Han, Yong Sik (Dept. of Information & Communications, Gumi University)
  • Received : 2013.04.23
  • Accepted : 2013.06.10
  • Published : 2013.06.30
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Abstract

In the paper, we propose a new CSS(Complex Signed-Signed) CMA(Constant Modulus Algorithm) algorithm for ICS(Interference Cancellation System). When the repeater get the feedback signal, the CSS CMA algorithm is proposed at the ICS repeater using DSP(Digital Signal Processing) for the removal of interfering signals from the feedback paths. The proposed CSS CMA algorithm improved performances and hardware complexity by adjusting step size values. the steady state MSE(Mean Square Error) performance of the proposed CSS CMA algorithm with step size of 0.00043 is about 4dB better than the conventional CMA algorithm. And the proposed Complex Signed Signed CMA algorithm requires 1950 ~ 2150 less iterations than the LMS(Least Mean Square) and Signed LMS(Normalized Least Mean Square) algorithms at MSE of -25dB.

본 논문에서 ICS(Interference Cancellation System) 중계기에서 간섭제거를 위한 새로운 CSS(Complex Signed-Signed) CMA(Constant Modulus Algorithm) 알고리즘을 제안한다. 중계기가 궤환 신호를 가질 때 CSS CMA 알고리즘은 궤환 경로로부터 간섭 신호를 제거하기 위한 디지털 신호 처리를 사용한 ICS 중계기에 대해 제안한다. 제안된 Complex Signed Signed CMA 알고리즘은 스텝 사이즈를 조절함에 따라 하드웨어 복잡도와 성능이 개선된다. 제안된 Complex Signed Signed CMA 알고리즘에서 스텝사이즈가 0.00043인 경우 수렴상태에서 평균 자승 에러는 기존 CMA 알고리즘보다 약 4dB정도 더 낮다. 그리고, 평균 자승 에러 -25dB를 기준으로 LMS(Least Mean Square)와 Signed LMS(Normalized Least Mean Square)보다 수렴회수가 1950 ~ 2150회 정도 줄어든다.

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References

  1. A. H. SAYD, "Fundamentals of Adaptive Filtering", Wiley, pp 284
  2. Lattice Semiconductor Corporation, "LMS adaptive filter," Reference Design RD 1031, Dec. 2006
  3. P. Y. Haghighat, Ali Ghrayeb, "Trickle-Based Interference Cancellation Schemes for CDMA Systems,"IEEE Transactions on Wireless Communications, vol. 8, no.1, pp.13-17, January, 2009 https://doi.org/10.1109/T-WC.2009.070901
  4. S. C. Chan, Y. Zhou, "On the Convergence Analysis of the Normalized LMS and the Normalized Least Mean M-Estimate Algorithms," IEEE International Symposium on Signal Processing and Information Technology, vol. 49, no.1, pp.1048-1053, 2007
  5. R. Mendoza, J. H. Reed, "Inteference Rejectin Using the Time-Dependent Constant Modulus Algorithm(CMA) and the Hybrid CMA/Spectral Correlation Discriminator," IEEE Transactions on Signal Processing, vol. 39, no. 9, pp.2108-2111, 1991 https://doi.org/10.1109/78.134448
  6. Rui Chen, Zhifeng E and Jiawen Hu, "Adaptive Filter by using Proportionate Frequency Domain Extended Correlation LMS Algorithm in the Double Talk Condition," ICS2008 Proceedings, pp.2826-2829, 2008
  7. W. Karen Egiazarian and Pauli Kuosmanen, "Variable step-size LMS adaptive filters for CDMA multiuser detection," IEEE TELSIKS Serbia and Montenegro, 1-3, pp259-264, Oct. 2003