Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Optimum Weight Vector of Linearly Constrained Conditions

선형 제한 조건의 최적 가중 벡터에 대한 연구

  • Shin, Ho-Sub (Dept. of Radio-Communication Engineering, Kunsan National University)
  • 신호섭 (군산대학교 전파공학과)
  • Received : 2010.08.03
  • Accepted : 2010.09.06
  • Published : 2011.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

The optimum weight vector is studied to remove interference and jamming signals in adaptive array antenna system. The optimum weight vector is calculated to apply a minimum variance algorithm and cost function in linearly constrained conditions, and accurately estimates target's signal. Adaptive array antenna system is the system which improves signal to noise ratio(SNR) and decreases interference and jammer power. Adaptive array antenna system delays at tap output of antenna array element. Each tap finally makes the complex signal of one in multiplier complex weight. In order to obtain optimum's weight calculation, optimum weight vector is used in this paper. After simulation, resolution is increased below $3^{\circ}$, and sidelobe is decreased about 10 dB.

본 논문에서는 적응 배열 안테나 시스템에서 간섭 및 재밍 신호를 제거하기 위해서 최적 가중 벡터를 연구하였다. 최적 가중 벡터는 선형 제한 조건에서 최소 분산 알고리즘과 비용함수를 적용시켜 구하였고, 목표물의 신호를 정확히 추정하였다. 적응 배열 안테나 시스템은 간섭 및 재머전력을 감소시키고 신호대 잡음비를 향상시키는 시스템이다. 적응 배열 안테나 시스템은 각 안테나 배열 소자의 출력이 탭(Tap)을 거쳐 지연되고 각 탭에 복소 가중치가 곱해져서 최종적으로 하나의 복합신호를 만든다. 최적의 가중치를 구하기 위해서 본 논문에서는 입력 공분산 행렬의 최적 가중벡터를 이용하였다. 본 논문에서 제안된 알고리즘으로 모의 실험한 결과 분해능은 $3^{\circ}$이하로 향상되었으며 부엽은 약 10 dB 감소하였음을 입증하였다.

Keywords

References

  1. J. S. Park and S. Y. Oh, "Traffic Delay Guarantee using Deterministic Service in Multimedia Communication," Journal of The Korea Society of Computer and Information, Vol. 7, No. 2, pp. 101-114, Jan. 2002.
  2. B. C. Kim, S. B. Lee, and J. Y. Choi, "An Operation Plan of Physical Distribution System for the Efficient Treating of Stockout," Journal of The Korea Society of Computer and Information, Vol. 14, No. 2, pp. 211-219, Feb. 2009.
  3. M. Skolnik, "Radar Handbook," Mcgraw-Hill, 1990.
  4. W. Y. Song, M. H. Lee and J. H. Joo, "Multi-Beam Pattern using Beam Steering Algorithms to Adaptive Array Antenna," Journal of The Korean Institute of Information Technology, Vol. 6, No. 4, pp. 60-65, Aug. 2008.
  5. P. G. Kealey and I. P. Finley, "Comparison of the Radar Clutter Cancellation Performance of postand pre-Doppler STAP for Ground Moving Target Identification from an Experimental Airborne Surveillance Radar," Proceedings of the IEEE Radar Conference, pp. 480-485, Apr. 2004.
  6. D. A. Page, B. Himed, and M. E. Davis, "Improving STAP performance in bistatic space-based radar systems using an efficient expectation-maximization technique," IEEE International Radar Conference, pp. 109-114, May 2005.
  7. O. L. Frost, "An Algorithm for Linearly Constrained Adaptive Array Processing," Proceedings of the IEEE, Vol. 60, No. 8, pp. 926-935, Aug. 1972. https://doi.org/10.1109/PROC.1972.8817
  8. L. J. Griffiths and C. W. Jim, "An Alternative Approach to Linearly Constrained Adaptive Beamforming," IEEE Trans. on Antennas and Propagation, Vol. 30, No.1, pp. 27-34, Jan. 1982. https://doi.org/10.1109/TAP.1982.1142739
  9. G. M, Herbert, "Effects of Antenna Rotation on STAP Performance in Forward Applications," IEEE International Radar Conference, pp. 49-54, May 2005.
  10. K. H. Lee and W. Y. Song, "A Study on the Target Position Estimation Algorithm to Radar System," Journal of The Korea Society of Computer and Information, Vol. 13, No. 5, pp. 111-116, Sept. 2008.
  11. J. H. Joo and M. H. Lee, "A Study on the Optimize Weight Method to Adaptive Array Radar System," Journal of The Korean Institute of Information Technology, Vol. 6, No. 5, pp. 49-54, Oct. 2008.
  12. W. Y. Song and J. H. Joo, "A Study on the Cancellation Jamming for signal input angle estimation," Journal of The Korean Institute of Information Technology, Vol. 7, No. 1, pp. 113-118, Feb. 2009.
  13. A. C. P. Veiga, Y. Iano, and G. A. Carrijo, "A New Adaptive Filter Structure: Comparative Study of NLMS, DST-LMS and DCT-LMS Schemes Applied to Electromyographic Signal Modelling," IEEE Pacific Rim Conference, Vol. 2, pp. 555-558, Aug. 2001.
  14. R. J. Piechocki, N. Canagarajah, J. P. McGeehan, and G. V. Tsoulos, "Orthogonal Re-spread for Uplink WCDMA Beamforming," IEEE Vechicular Technology Conference Proceedings, Vol. 2, pp. 1373-1376, May 2000.