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Performance analysis of the cyclic MUSIC method of direction estimation for cyclostationary signals

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1 Author(s)
Schell, S.V. ; Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA

The cyclic MUSIC algorithm exploits the cyclostationarity exhibited by most man-made communication signals to perform signal-selective estimation of directions of arrival at an array of sensors. In the paper, the bias and mean-squared error of these direction estimates are derived under the assumption that the signals are complex, possibly non-Gaussian, and cyclostationary. The analytical results are shown to be excellent predictors of empirical results obtained from computer simulation of the cyclic MUSIC algorithm, and are also compared with the Cramer-Rao bound, which in certain cases can be orders of magnitude less than the Cramer-Rao bound for the directions of arrival of stationary signals

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Signal Processing, IEEE Transactions on  (Volume:42 ,  Issue: 11 )