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DOA Estimation of Multiple Signal and Adaptive Beam-forming for Mobile Communication Environments

이동통신 환경에서 다중신호의 DOA 추정과 적응 빔성형

  • 양두영 (제주대학교 통신공학과) ;
  • 이민수 (대진대학교 통신공학과)
  • Received : 2010.07.29
  • Accepted : 2010.11.29
  • Published : 2010.12.28

Abstract

The DOA(direction of arrival), which is based on parametric and nonparametric estimation algorithm, and adaptive beamforming algorithm for mobile communication environments are researched and analyzed. In parametric estimation algorithm, eigenvalues of the signal component and the noise component are obtained from correlation matrix of received signal by array antenna and power spectrum of the received signal is discriminated from them. Otherwise, in nonparametric estimation algorithm, we minimize a regularized objective function for finding a estimate of the signal energy as a function of angle, using nonquadratic norm which leads to supper resolution and noise suppression. And then, DOA is estimated by the signal and noise spatial steering vector, and adaptive beam-forming pattern is improved by weight vectors obtained from the spatial vector. Therefore, the improved directional estimation algorithm with regularizing sparsity constraints offers super-resolution and noise suppression compared to other algorithms.

이동통신 환경에서 매개변수와 비매개변수추정 알고리즘을 토대로 DOA와 적응 빔성형 알고리즘을 연구하고 분석하였다. 매개변수추정 알고리즘에서는 배열안테나로 수신된 신호의 상관행렬로부터 신호성분과 잡음성분에 대한 고유치를 구하고, 그 고유치들로부터 전력스펙트럼을 판별하였다. 반면에 비매개변수추정 알고리즘에서는 입사각의 함수로써 신호에너지를 추정하기 위하여 고분해능과 잡음억압을 도출하도록 비이차놈을 사용하여 규칙화 목적함수를 최소화하였다. 그리고 나서, 신호와 잡음공간 조정벡터로부터 DOA를 추정하였고, 공간벡터에 의하여 도출된 가중치를 적용하여 적응 빔성형 패턴을 개선하였다. 따라서 희소강제조정을 갖는 개선된 방향성 추정 알고리즘은 다른 알고리즘들과 비교하여 잡음 억제와 고분해능을 갖는다.

Keywords

References

  1. 심동희, 서동연, 오민석, 최진성, 연철음, “3GPP 다중 안테나 기술 동향 Part I: 송신 다이버시티 및 빔 형성을 중심으로”, SK Telecommunications Review 제12권, 제2호, pp.139-140, 2002.
  2. 김성진, 이용석, 김호진, 이현우, “3GPP 다중 안테나 기술 동향 Part II: MIMO를 중심으로”, SK Telecommunications Review 제12권, 제2호, pp.152-167, 2002.
  3. Minseok Kim, “A Study of Implementation of Digital Signal Processing for Adaptive Array Antenna”, Thesis, Division of Electrical And Computer Engineering Yokohama National University Japan, pp.45-49, 2002.
  4. J. H. Winters, “Smart Antennas for Wireles Systems", IEEE Personal Communications, Vol.5, No.1, pp.23-27, 1998. https://doi.org/10.1109/98.656155
  5. R. O. Schmidt, “Multiple Emitter Location and Signal Parameter Estimation”, IEEE Transactions on Antennas and Propagation, Vol.34, No.3, pp.276-278, 1986. https://doi.org/10.1109/TAP.1986.1143830
  6. B. D. Rao, “Effect of Spatial Smoothing on the Performance of MUSIC and the Minimum-norm Method”, IEEE Proceedings, Vol.137, No.6, pp.449-450, 1990.
  7. R. M. Shubair, M. A. Al-Qutayri, and J. M. Samhan, “A Setup for the Evaluation of MUSIC and LMS Algorithms for a Smart Antenna System”, Journal of Communications, Vol.2, No.4, pp.71-77, 2007. https://doi.org/10.1111/j.1460-2466.1952.tb00203.x
  8. S. I. Moon, K. S. Lee, and D. Y. Yang, “A Study on Adaptive Beamforming based on MUSIC Algorithm", RIAT, CNU, Vol.14, No.1, pp.48-53, 2003.
  9. Donald Geman, “Constrained Restoration and the Recovery of Discontinuities”, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.14, No.3, 1992. https://doi.org/10.1109/34.120331
  10. A. H. Delaney, “Globally Convergent Edge-preserving Regularized Reconstruction: an Application to Limited-angle Tomography”, IEEE Trans. Image Processing, Vol.7, No.2, pp.204-221, 1998. https://doi.org/10.1109/83.660997
  11. D. M. Malioutov and A. S. Willsky, “A Variational Technique for Source Localization based on a Sparse Signal Reconstruction Perspective”, IEEE International Conference on Acoustics, Speech and Signal Processing, Vol.3, pp.2965-2968, 2002.
  12. C. Y. Chen and P. P. Vaidyanathan, “Quadratically Constrained Beamforming Robust Against Direction-of-Arrival Mismatch”, IEEE Transactions on Signal Processing, Vol.55, No8, pp.4139-4150, 2007. https://doi.org/10.1109/TSP.2007.894402
  13. D. Y. Yang and S. I. Moon, “DOA Estimation of DS-CDMA Signals for Mobile Communication Environment", RIAT, CNU, Vol.14, No.2, pp.159-164, 2003.
  14. J. C. Liberti and T. S. Rappaport, Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA Applications, Prentice Hall PTR, 1999.
  15. 홍영진, “다중경로페이딩이 DDLMS 기반 스마트안테나의 성능에 미치는 영향”, 한국통신학회논문지, 제34권, 제9호, pp.871-879, 2009.
  16. K. M. Jeyanthi and A. P. Kabilan, “A Simple Adaptive Beamforming Algorithm with Interference Suppression”, International Journal of Engineering and Technology, Vol.1, No.1, pp.67-70, 2009. https://doi.org/10.7763/IJET.2009.V1.12

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  1. Analysis of DOA Estimation and Adaptive Beam-forming of MIMO between Linear-circular Array Antennas vol.12, pp.6, 2011, https://doi.org/10.5762/KAIS.2011.12.6.2777