Design of 2D MUSIC Algorithm to Reduce Computational Burden 


Vol. 37,  No. 11, pp. 1077-1083, Nov.  2012


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  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.

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  Cite this article

[IEEE Style]

Y. S. Choi, M. H. Jin, H. H. Choi, S. J. Lee, C. Park, "Design of 2D MUSIC Algorithm to Reduce Computational Burden," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 11, pp. 1077-1083, 2012. DOI: .

[ACM Style]

Yun Sub Choi, Mi Hyun Jin, Heon Ho Choi, Sang Jeong Lee, and Chansik Park. 2012. Design of 2D MUSIC Algorithm to Reduce Computational Burden. The Journal of Korean Institute of Communications and Information Sciences, 37, 11, (2012), 1077-1083. DOI: .

[KICS Style]

Yun Sub Choi, Mi Hyun Jin, Heon Ho Choi, Sang Jeong Lee, Chansik Park, "Design of 2D MUSIC Algorithm to Reduce Computational Burden," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 11, pp. 1077-1083, 11. 2012.