Second-order versus Fourth-order Music Algorithms : an Asymptotical Statistical Analysis
نویسندگان
چکیده
Direction finding techniques are usually based on the 2ndorder statistics of the received data. In this paper, we propose a MUSIC-like direction finding algorithm which uses a matrix-valued statistic based on the contraction of the 4thorder cumulant tensor of the array data (4-2 MUSIC). We then derive, in a unified framework, the asymptotic covariance of estimation errors for both 2nd-order and 4th-order based MUSICs, and show that the 4th-order method can perform equally well or even better than the 2nd-order method, even when the noise spatial structure is known.
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تاریخ انتشار 1991