On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
On optimal dimension reduction for sensor array signal processing
Signal Processing
Azimuth and elevation direction finding using arbitrary arraygeometries
IEEE Transactions on Signal Processing
Optimal dimension reduction for array processing-generalized
IEEE Transactions on Signal Processing
Eigenstructure techniques for 2-D angle estimation with uniformcircular arrays
IEEE Transactions on Signal Processing
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This paper proposes a computationally efficient 2-D direction-of-arrival estimation method for the single source case. In this method, the array outputs are regarded as the pixel values and then transformed into the Zernike moments (ZMs). The rotation-invariant feature of ZMs allows us to estimate azimuth angles independently of elevation angles, without performing the eigenvalue decomposition. Obtained the azimuth estimate, the elevation angle is estimated by applying the MUSIC technique to the Correlation matrix of the ZM Vector that is smaller than that of the original array input vector. Therefore the computational complexity of the eigenvalue decomposition and the sweeping operation can be reduced. Several simulation results are presented to show the effectiveness of the proposed method.