DocumentCode
3381411
Title
An approximate maximum likelihood method for estimation of direction of arrival parameters
Author
Satish, A. ; Kashyap, R.L.
Author_Institution
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
fYear
1992
fDate
7-9 Oct 1992
Firstpage
342
Lastpage
345
Abstract
The estimation of DOA and associated signal parameters from the observations received by isotropic sensors in additive noise medium is considered. The DOAs and signal parameters to be estimated are functions of number of snapshots (N), number of sensors(M), signal-to-noise ratio (SNR), separation, φd and correlation between the sources, ϑ. Different criterion functions for low and for high SNR are obtained by suitable approximations choosing relevant terms depending upon the nature of the parameters. In the first step, expressions are derived for the estimates of the signal power (spectral density in the wideband instance) and noise power. In step two, these are used to estimate the DOA angles. Simulation results for narrowband signals show the performance of the proposed method. The estimation approach could be extended for wideband signals
Keywords
array signal processing; maximum likelihood estimation; parameter estimation; DOA estimation; additive noise; approximate maximum likelihood method; criterion functions; direction of arrival; isotropic sensors; narrowband signals; parameter estimation; performance; signal parameters; spectral density; wideband signals; Additive noise; Direction of arrival estimation; Gaussian noise; Maximum likelihood estimation; Narrowband; Parameter estimation; Signal to noise ratio; Stochastic processes; Wideband; Yield estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0508-6
Type
conf
DOI
10.1109/SSAP.1992.246780
Filename
246780
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