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
Link To Document :
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