Title :
A suboptimal, low cost maximum likelihood algorithm
Author :
Farrier, D.R. ; Mardani, R.
Author_Institution :
Dept. of Electr. Eng., Southampton Univ., UK
Abstract :
A simple, noniterative algorithm is presented for resolving closely space sinusoids. The method is based on a maximum-likelihood algorithm and is specifically designed to resolve two signals of similar power with minimum complexity. The algorithm consists of three phases: conventional beamforming, beamforming with a projection operator, and solution of a single nonlinear equation. It is shown that the method can be applied to more than two signals and to the colored noise case
Keywords :
parameter estimation; signal processing; beamforming; closely space sinusoids; colored noise case; maximum likelihood algorithm; noniterative algorithm; projection operator; signal processing; suboptimal algorithm; Algorithm design and analysis; Array signal processing; Background noise; Costs; Covariance matrix; Maximum likelihood estimation; Nonlinear equations; Signal design; Signal resolution; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.267049
