Title :
A parametric method for determining the number of signals in narrow-band direction finding
Author :
Wu, Qiang ; Fuhrmann, Daniel R.
Author_Institution :
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
fDate :
8/1/1991 12:00:00 AM
Abstract :
A novel and more accurate method to determine the number of signals in the multisource direction finding problem is developed. The information-theoretic criteria of Y. Yin and P. Krishnaiah (1988) are applied to a set of quantities which are evaluated from the log-likelihood function. Based on proven asymptotic properties of the maximum likelihood estimation, these quantities have the properties required by the criteria. Since the information-theoretic criteria use these quantities instead of the eigenvalues of the estimated correlation matrix, this approach possesses the advantage of not requiring a subjective threshold, and also provides higher performance than when eigenvalues are used. Simulation results are presented and compared to those obtained from the nonparametric method given by H. Wax and T. Kailath (1985)
Keywords :
parameter estimation; signal processing; array processing; information-theoretic criteria; log-likelihood function; multisource direction finding; narrow-band direction finding; number of signals; parametric method; Direction of arrival estimation; Eigenvalues and eigenfunctions; Maximum likelihood estimation; Multiple signal classification; Narrowband; Passive radar; Signal processing; Signal processing algorithms; Signal resolution; Testing;
Journal_Title :
Signal Processing, IEEE Transactions on