The Journal of Korean Institute of Electromagnetic Engineering and Science (한국전자파학회논문지)

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
권호 표지
DOI QR코드

DOI QR Code

Adaptive Feedback Interference Cancellation Algorithm Using Correlations for Adaptive Interference Cancellation System

적응 간섭 제거 시스템을 위한 상관도를 적용한 적응적 궤환 간섭 제거 알고리즘

  • Han, Yong-Sik (Department of Electronics Engineering, University of Incheon) ;
  • Yang, Woon-Geun (Department of Electronics Engineering, University of Incheon)
  • Published : 2010.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

To reduce the outage probability and to increase the transmission capacity, the importance of repeaters in cellular systems is increasing. But a RF(Radio Frequency) repeater has a problem that the output of the transmit antenna is partially feedback to the receive antenna, which is feedback interference. In this paper, we proposed adaptive Sign-Sign LMS(Least Mean Square) algorithm using correlations for the performance enhancement of RF repeater. The weight vector is updated by using sign of input signal and error signal to the least squared error of the conventional algorithms. When compared with the conventional method, the proposed canceller achieves the maximum 10 dB performance gain in terms of the MSE(Mean Square Error).

셀룰러 시스템에서의 음영 지역 해소 및 전송 용량 증대를 위해 중계기의 중요성은 계속적으로 증가하고 있다. 그러나 RF 중계기는 중계된 전송 신호의 일부가 궤환되어 다시 수신 안테나에 수신되는 궤환 간섭 신호가 발생한다. 이런 문제를 해결하기 위하여 본 논문에서는 RF 중계기의 성능 개선을 위해 상관도를 적용한 Sign-Sign LMS(Least Mean Square)를 제안하였다. 기존 알고리즘의 제곱된 에러를 최소화하기 위해 가중치 벡터는 입력 신호와 오차 신호의 부호에 취하고, 이를 활용하여 갱신된다. 제안된 간섭 제거기는 기존 방식과 비교하여 MSE(Mean Square Error) 측면에서 최대 10 dB의 성능 이득을 가진다.

Keywords

References

  1. Simon Haykin, Adaptive Filter Theory, 4th Edition, Prentice Hall Inc., pp. 231-311, 2002.
  2. M. Chakraborty, H. Sakai, "Convergence analysis of complex LMS algorithm with reference signals", IEEE Transcations on Speech and Audio Processing, vol. 13, no. 2, pp. 286-292, Mar. 2005. https://doi.org/10.1109/TSA.2004.840938
  3. S. Goh, D. Mandic, "A class of gradient-adaptive step size algorithms for complex-valued nonlinear neural adaptive filters", Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing, vol. 5, no. 2, pp. 253-256, 2005. https://doi.org/10.1109/ICASSP.2005.1416288
  4. Lattice Semiconductor Corporation, "LMS adaptive filter", Reference Design RD 1031, Dec. 2006.
  5. C. Ng, C. Y. Chung, S. H. Leung, and A. Luk, "A variable step size algorithm using evolution strategies for adaptive filtering", Proc. IEEE Int. Conf. Evolutionary Computation, vol. 1, pp. 542-545, Jul. 1999. https://doi.org/10.1109/CEC.1999.781980
  6. S. J. Kim, J. Y. Lee, J. C. Lee, J. H. Kim, B. Lee, and N. Y. Kim, "Adaptive feedback interference cancellation system(AF-ICS)", Proc. IEEE MTT- S Int. Microwave Symp, Dig., vol. 1, pp. 627-630, Jun. 2003. https://doi.org/10.1109/MWSYM.2003.1211017
  7. M. R. Asharif, T. Hayashi, "Correlation LMS algorithm and its application to double-talk echo cancelling", Proc. IET., vol. 35, no. 3, pp. 194-195, Feb. 1999.

Cited by

  1. Effective Self-Interference Cancellation for SSD(Simultaneous Single Band Duplex) System vol.25, pp.2, 2014, https://doi.org/10.5515/KJKIEES.2014.25.2.189