Modified music algorithm for DOA estimation using the a-priori defined unitary matrix

• Autorzy: Janowski T. , Porosińska E. , Zając R.
• Języki publikacji: EN

Abstrakty

EN

The determination of the number of the simultaneously observed objects is an important problem of the MUSIC algorithm. As the result of the covariance matrix eigendecomposition the eingevector and unitary matrix are obtained. The unitary matrix defines the transformation of the measurement vector. Consequently the obtained vector is orthogonal to the noise subspace. The solution of the eigendecomposition problem can be avoided assuming a-priori knowledge of the unitary matrix. Practically, the passive sonar detects the first appeared noisy object. This enable to beforehand define the set of the unitary matrixes exactly matched to the previously determined directions of the signal arrival. The article presents the form of the matrix and features of the measurement vector transformation. The results of the DOA algorithm computer simulation for passive sonar composed of four hydrophones developed in the OBR CTM S.A. are also presented.

Słowa kluczowe

EN

DOA; unitary matrix; music algorithm

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2009
• Tom: Vol. 12
• Strony: 77--82
• Opis fizyczny: Bibliogr. 5 poz., rys.,wykr.

Twórcy

autor

Janowski T.

autor

Porosińska E.

autor

Zając R.

• Ośrodek Badawczo-Rozwojowy Centrum Techniki Morskiej S.A., Poland, 81-109 Gdynia, ul Dickmana 62,

Bibliografia

• [1] Ralph O. Schmidt, Multiple Emitter Location and Signal parameter Estimation IEEE Transactions on antennas and propagation, March 1986.
• [2] F. Belloni, Signal processing for arbitrary sensor array configurations: theory and algorithm, October 2007.
• [3] NAXYS Ethernet Hydrophone 02345.
• [4] P. Dawkins, Linear Algebra.
• [5] A. Pezeshki, Eigenvalue Beamforming using a Multi-rank MVDR Beamformer and Subspace Selection, IEEE transactions on signal processing 2008.