Performance analysis of Root-Music

The authors analyze the performance of Root-Music, a variation of the MUSIC algorithm, for estimating the direction of arrival (DOA) of plane waves in white noise in the case of a linear equispaced sensor array. The performance of the method is analyzed by examining the perturbation in the roots of the polynomial formed in the intermediate step of Root-Music. In particular, asymptotic results for the mean squared error in the estimates of the direction of arrival are derived. Simplified expressions are presented for the one- and two-source case and compared to those obtained for least-squares ESPRIT. Computer simulations are also presented, and they are in close agreement with the theory. An important outcome of this analysis is the fact that the error in the signal zeros has a largely radial component. This provides an explanation as to why the Root-Music is superior to the spectral MUSIC algorithm. >

[1]  Bhaskar D. Rao,et al.  Performance analysis of ESPRIT and TAM in determining the direction of arrival of plane waves in noise , 1989, IEEE Trans. Acoust. Speech Signal Process..

[2]  Bhaskar D. Rao,et al.  Statistical performance analysis of the minimum-norm method , 1989 .

[3]  Arthur Jay Barabell,et al.  Improving the resolution performance of eigenstructure-based direction-finding algorithms , 1983, ICASSP.

[4]  Sun-Yuan Kung,et al.  A Toeplitz approximation approach to coherent source direction finding , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[5]  D. R. Farrier,et al.  Asymptotic results for eigenvector methods , 1985 .

[6]  R. Kumaresan,et al.  Estimating the Angles of Arrival of Multiple Plane Waves , 1983, IEEE Transactions on Aerospace and Electronic Systems.

[7]  T. Kailath,et al.  Estimation of Signal Parameters via Rotational Invariance Techniques - ESPRIT , 1986, MILCOM 1986 - IEEE Military Communications Conference: Communications-Computers: Teamed for the 90's.

[8]  Mostafa Kaveh,et al.  The statistical performance of the MUSIC and the minimum-norm algorithms in resolving plane waves in noise , 1986, IEEE Trans. Acoust. Speech Signal Process..

[9]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[10]  Benjamin Friedlander,et al.  Analysis of the asymptotic relative efficiency of the MUSIC algorithm , 1988, IEEE Trans. Acoust. Speech Signal Process..

[11]  Bhaskar D. Rao Perturbation analysis of an SVD-based linear prediction method for estimating the frequencies of multiple sinusoids , 1988, IEEE Trans. Acoust. Speech Signal Process..

[12]  Thomas Kailath,et al.  Comparative performance of ESPRIT and MUSIC for direction-of-arrival estimation , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[13]  D. Brillinger Time Series: Data Analysis and Theory. , 1981 .