DocumentCode
2955982
Title
Asymptotic robustness of sensor array processing methods
Author
Ottersten, Björn ; Viberg, Mats
Author_Institution
Inf. Syst. Lab., Stanford Univ., CA, USA
fYear
1990
fDate
3-6 Apr 1990
Firstpage
2635
Abstract
Methods for estimating the parameters of narrowband signals arriving at an array of sensors are analyzed. Asymptotic results for several estimators have recently appeared in the literature. With few exceptions, the previous analysis requires the incident signal waveforms to be Gaussian random variables. These results are shown to be valid under much more general conditions, i.e. the actual distribution of the signal waveforms does not affect the asymptotic properties of the parameter
Keywords
parameter estimation; signal detection; signal processing; Gaussian random variables; asymptotic properties; incident signal waveforms; narrowband signals; parameter estimation; robustness; sensor array processing methods; Acoustic sensors; Array signal processing; Direction of arrival estimation; Information analysis; Maximum likelihood estimation; Narrowband; Parameter estimation; Radar antennas; Random variables; Robustness; Sensor arrays; Signal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location
Albuquerque, NM
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1990.116156
Filename
116156
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