Study on Improvement of MUSIC Estimation Method

Abstract:

MUSIC algorithm is a subspace decomposition method whose high resolution capability and other aspects of its performance have been investigated widely. Application of MUSIC algorithm to DOA (direction-of-arrival) estimation is of massive computation and requires that the number of signals must be known to partition the space into signal subspace and noise subspace. Moreover, the algorithm does not make use of information on the intensity of signals. This paper deeply investigates the theory of MUSIC algorithm and proposes a modification method which overcomes the disadvantages above. Finally, simulation tests have been undertaken to compare the original algorithm and its modification, which verifies the validity of the theory.

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 2750-2754
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.2750
• Online since: March 2014
• Authors: Hao Zhou*
• Keywords: Modification Method, Music Algorithm, Positioning Performance, Resolution Capability

References

[1] Nehorai A, Paldi E, Acoustic Vector-sensor array processing, IEEE Trans. on Signal Processing, 1994, 42: 2481~2491.

DOI: 10.1109/78.317869

[2] K T Wong, M D Zoltowski, Closed-Form underwater acoustic direction-finding with arbitrarily spaced vector hydrophones at unknown locations, IEEE Journal of Oceanic Engineering. 1997, 22(4): 649~658.

DOI: 10.1109/48.650831

[3] Szu H, Noel S, Yim S, Willey J, Landa J, Multimedia authenticity protection with ICA watermarking and digital bacteria vaccination, Neural Networks, 2003, 16(6): 907~914.

DOI: 10.1016/s0893-6080(03)00132-1

[4] Aapo Hyvrinen, Erkki Oja, Independent component analysis: Algorithms and applications, IEEE Neural Network, 2000, 13(4): 411~430.

[5] J F Cardoso, High-order contrasts for independent component analysis, Neural Computation, 1999, 11(1): 157~192.

DOI: 10.1162/089976699300016863