Browse > Article
http://dx.doi.org/10.7840/kics.2012.37C.11.1077

Design of 2D MUSIC Algorithm to Reduce Computational Burden  

Choi, Yun Sub (충남대학교 전자공학과 제어시스템 연구실)
Jin, Mi Hyun (충남대학교 전자공학과)
Choi, Heon Ho (충남대학교 전자공학과)
Lee, Sang Jeong (충남대학교 전자공학과)
Park, Chansik (충북대학교 전자정보대학 전자공학 전공)
Abstract
The jamming countermeasures in GNSS includes anti-jamming technique and jammer localization technique. In both techniques, direction of jamming signal is important and generally the MUSIC algorithm is used to find the direction of jamming signal. The MUSIC is super-resolution algorithm for detecting incident direction of signal. But, the search time of MUSIC algorithm is too long because all candidates of incidence angle are searched. This paper proposes the new method that has less computational burdens and therefore faster than the conventional MUSIC algorithm. The proposed method improves performance speed by reducing unnecessary calculations. In the proposed method, the cost function of conventional MUSIC algorithm is decomposed into the sum of squares and if the partial sum of cost function is larger than the minimum cost function so far, then the candidate is rejected and next candidates are searched. If the computed cost function is less than the minimum cost function so far, the minimum cost function so far is replaced with newly computed value. The performance of the proposed method was compared with the conventional MUSIC algorithm using the simulation. The accuracy of the estimaed direction of jamming signal was same as the conventional MUSIC while the search speed of the proposed method was 1.15 times faster than the conventional MUSIC.
Keywords
Anti-Jamming; DOA Estimation; 2D MUSIC; Cholesky Decomposition; Computational Burden;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 I. K. Rhee, I. K. Choi, Y. J. Kim, C. S. Kang, "A Study on Performance Analysis of High Resolution DOA Method based on MUSIC", Journal of Korea Information and Communications Society, vol. 19, no. 2, pp. 345-353, Feb. 1994.   과학기술학회마을
2 R. O. Schmidt, "Multiple emitter location and signal parameter estimation", IEEE Trans. AP, vol. 34, no. 3, pp. 276-280, Mar 1986.   DOI
3 Peter Stoica, Randolph L. Moses, Introduction to Spectral Analysis, Prentice Hall, pp. 155-163, 1997.
4 T. Lee, "Efficient wideband source localization using beamforming invariance technique", IEEE Transactions on Signal Processing, vol. 42, no. 6, pp. 1376-1387, June 1994.   DOI   ScienceOn
5 J. Capon, "High-resolution frequency-wave number spectrum analysis", Proceeding of the IEEE, vol. 57, no. 8, pp. 1408-1418, Aug. 1969.   DOI   ScienceOn
6 D. H. Johnson, "The application of spectral estimation method to bearing estimation problem", Proceeding of the IEEE, vol. 70, no. 9, pp. 1018-1028, Sept. 1982.   DOI   ScienceOn
7 Arthur J. Barabell, "Improving the resolution performance of eigenstructure-based directionfinding algorithms", ICASSP '83, vol. 8, pp. 336-339, Apr. 1983.
8 Gibson, J., "On reflection coefficients and the Cholesky decomposition", IEEE Trans. Acoustics, Speech and Signal Processing, vol. 25, no. 1, pp. 93-96, Feb. 1977.   DOI
9 Changsoon Choi, "Optimized Implementation of Multiuser Detector based on Cholesky Approximation", M. S. Dissertation, Sogang University, Aug. 2005.